Improving Student Learning
Improving Student Learning
DETAILS
88 pages | 7 x 10 | PAPERBACK
ISBN 978-0-309-06489-7 | DOI 10.17226/6488
CONTRIBUTORS
GET THIS BOOK Committee on a Feasibility Study for a Strategic Education Research Program,
National Research Council
SUGGESTED CITATION
Visit the National Academies Press at NAP.edu and login or register to get:
Distribution, posting, or copying of this PDF is strictly prohibited without written permission of the National Academies Press.
(Request Permission) Unless otherwise indicated, all materials in this PDF are copyrighted by the National Academy of Sciences.
ii
Improving student learning : a strategic plan for education research and its utilization / Committee or a Feasibility Study for a Strategic Edu-
cation Research Program, Commission on Behavioral and Social Sciences and Education, National Research Council.
p. cm.
Includes bibliographical references.
ISBN 0-309-06489-9 (pbk.)
1. Education—Research—United States. 2. School improvement programs—United States. I. National Research Council (U.S.). Com-
mittee on a Feasibility Study for a Strategic Education Research Program.
LB1028.25.U6I66 1999
370'.7'20973—dc21
99-6599
Additional copies of this report are available from: National Academy Press 2101 Constitution Avenue, N.W. Lock Box 285 Washington,
D.C. 20055 Call 800-624-6242 or 202-334-3313 (in the Washington Metropolitan Area). This report is also available on line at http://
www.nap.edu
Printed in the United States of America
Copyright 1999 by the National Academy of Sciences. All rights reserved.
iii
iv
The National Academy of Engineering was established in 1964, under the charter of the National Academy
of Sciences, as a parallel organization of outstanding engineers. It is autonomous in its administration and in
the selection of its members, sharing with the National Academy of Sciences the responsibility for advising
the federal government. The National Academy of Engineering also sponsors engineering programs aimed at
meeting national needs, encourages education and research, and recognizes the superior achievements of
engineers. Dr. Wm. A. Wulf is president of the National Academy of Engineering.
The Institute of Medicine was established in 1970 by the National Academy of Sciences to secure the
services of eminent members of appropriate professions in the examination of policy matters pertaining to
the health of the public. The Institute acts under the responsibility given to the National Academy of
Sciences by its congressional charter to be an adviser to the federal government and, upon its own
initiative, to identify issues of medical care, research, and education. Dr. Kenneth I. Shine is president of
the Institute of Medicine.
The National Research Council was organized by the National Academy of Sciences in 1916 to associate
the broad community of science and technology with the Academy’s purposes of furthering knowledge and
advising the federal government. Functioning in accordance with general policies determined by the
Academy, the Council has become the principal operating agency of both the National Academy of
Sciences and the National Academy of Engineering in providing services to the government, the public,
and the scientific and engineering communities. The Council is administered jointly by both Academies
and the Institute of Medicine. Dr. Bruce M. Alberts and Dr. Wm. A. Wulf are chairman and vice chairman,
respectively, of the National Research Council.
www.national-academies.org
CONTENTS v
Contents
Preface vii
Acknowledgments x
Executive Summary 1
Four Key Questions, 2
The Proposed Strategic Education Research Program, 3
How This Plan Differs from Other Efforts, 5
How This Plan Relates to Other Efforts, 6
Why a Strategic Plan Is Needed, 7
Next Steps, 7
CONTENTS vi
References 67
PREFACE vii
Preface
It has been my good fortune to chair the National Research Council (NRC) for the last 6 years. The NRC is
the operating arm of the National Academy of Sciences, the National Academy of Engineering, and the Institute of
Medicine—four nongovernmental organizations that are collectively referred to as the National Academies. The
NRC focuses on harnessing the best science in order to improve the general welfare. At the request of the
government, we carry out studies that cover an enormous variety of important issues—biodiversity, global
warming, human nutritional requirements, health and behavior, and human learning to name a few. Many
thousands of the nation's leading scientists, engineers, medical experts, policy experts, and practitioners contribute
their time and knowledge to these projects every year. In nearly every study we do, we are building new
collaborations across disciplines and professions, so as to bring the best resources to bear on important problems.
Over the last decade, education has become a central element in the NRC program. In 1996, we completed a
4-year project to develop national standards for science education in the primary and secondary grades. Hundreds
of scientists and educators were involved in developing these standards, and the draft standards were sent to
40,000 people for comment. At about the same time, we established a new Center for Science, Mathematics, and
Engineering Education. In addition, our Commission on Behavioral and Social Sciences and Education has
undertaken many important studies on issues in testing and assessment, education finance, preventing reading
difficulties in young children, and human learning and educational practice.
As I survey the work of the National Research Council, it is poignantly clear that research has not had the
kind of impact on
PREFACE viii
education that is visible in medical practice, space exploration, energy, and many other fields. My personal
experience as a scientist who worked to improve science instruction in the San Francisco public elementary
schools in the 1980s and early 1990s gave me a sense of how difficult and complicated it is to reform education.
Over the past 6 years of my presidency, my conversations with educators, reform leaders, and researchers in
virtually every part of the country have convinced me that even the most successful innovations will fail to take
root and spread—unless the reform dynamic changes substantially.
This small book has a very big ambition: to increase the usefulness and relevance of research to educational
practice. The report outlines a highly focused program of research designed to support improved student learning,
proposing a new model—drawn in part from the MacArthur Foundation research networks—for carrying out that
research. Most significantly, this Strategic Education Research Program (SERP) calls for a new kind of
collaboration that will respect and involve not only the many scientific disciplines that have something to
contribute to education, but also those individuals who understand education from the inside: teachers,
administrators, and policy makers.
The idea for this Strategic Education Research Program came from a very unlikely source: highway research.
In the 1980s, highway research had very little impact on the construction and repair of the nation's highways and
roads. The research that was done was disconnected from the needs of the practitioners—those who build
highways. As a result, state agencies saw each dollar spent on research as one dollar less for badly needed
construction, as did the construction industry. And yet the nation's roads were poorly built. The NRC undertook a
study to see if the disparate interests could unite to support a research agenda of great practical importance. As a
consequence of that study, Congress enacted a 10-year, $150 million Strategic Highway Research Program
(SHRP) in 1985. The SHRP was administered by the NRC's Transportation Research Board, and it brought the
research, policy, and practice communities together in a concerted effort that all could support. By the time it
ended, SHRP had not only produced results that were widely recognized as useful, it had also created stronger
links among the research, policy, and practice communities.
What do U.S. highways and education have in common? Both are administered by the states. Both involve a
large public
PREFACE ix
investment. Both badly need research that speaks to the needs of everyday practice. There are obvious limits to the
analogy, but the success of SHRP led us to wonder if a similar effort could propel a widespread process of
education reform. The presidents of the National Academies underwrote this project to explore the feasibility of
mounting a strategic program of research in education. I joined the group of educators, policy experts, and
researchers who undertook the study at many of their meetings. We think we have a powerful idea and at least the
beginnings of a plan.
But such a large research effort and the new kinds of collaborations it will require are unlikely to spring fully
formed from the work of one committee. It is now time to engage in a larger conversation among educators, policy
makers, and researchers—as well as with the public- and private-sector organizations that are the SERP's likely
sponsors. On behalf of the National Academies, I invite all interested parties to join in a year of public dialogue
concerning a Strategic Education Research Program. How can we best work together to build a science of
education that optimizes the potential of students, teachers, and schools—creating a practice of education that
continually improves as it incorporates the best available knowledge about learning and teaching for all kinds of
children? Knowing that there is no more important question for the future of our nation, I hope that this report will
catalyze new partnerships and major new investments in education to provide the badly needed answers.
BRUCE ALBERTS
PRESIDENT, NATIONAL ACADEMY OF SCIENCES
CHAIR, NATIONAL RESEARCH COUNCIL
ACKNOWLEDGMENTS x
Acknowledgments
This report has been reviewed in draft form by individuals chosen for their diverse perspectives and technical
expertise, in accordance with procedures approved by the Report Review Committee of the National Research
Council. The purpose of this independent review is to provide candid and critical comments that will assist the
institution in making the published report as sound as possible and to ensure that the report meets institutional
standards for objectivity, evidence, and responsiveness to the study charge. The review comments and draft
manuscript remain confidential to protect the integrity of the deliberative process.
We thank the following individuals for their participation in the review of this report: Christopher Cross,
Council for Basic Education, Washington, D.C.; Jay W. Forrester, Sloan School of Management, Massachusetts
Institute of Technology; Timothy H. Goldsmith, Department of Biology, Yale University; Paul Goren, John D. and
Catherine T. MacArthur Foundation, Chicago, Ill.; Donald Kennedy, Institute for International Studies, Stanford
University; Michael W. Kirst, School of Education, Stanford University; Gardner Lindzey, Center for Advanced
Study in the Behavioral Sciences, Stanford, Calif.; Lorraine McDonnell, Department of Political Science,
University of California, Santa Barbara; and William Morrill, Mathtech, Inc., Princeton, N.J.
Although the individuals listed above have provided constructive comments and suggestions, it must be
emphasized that responsibility for the final content of this report rests entirely with the authoring committee and
the institution.
EXECUTIVE SUMMARY 1
Executive Summary
Education in the United States currently consumes about 7 percent of the gross domestic product, yet the state
of education is increasingly an issue of deep concern to parents, political leaders, employers, and the public
generally. The recognition that many big-city schools, particularly the schools that serve poor children, have
become failures for almost all students has given particular urgency to the issue of school reform. As Education
Week (1998:6) put it recently, ''It's hard to exaggerate the education crisis in America's cities.''
One striking fact is that the complex world of education—unlike defense, health care, or industrial
production—does not rest on a strong research base. In no other field are personal experience and ideology so
frequently relied on to make policy choices, and in no other field is the research base so inadequate and little used.
Comparatively little research is funded, and the task of importing even the strongest research findings into over a
million classrooms is daunting.
In 1996 the National Research Council, the operating arm of the National Academy of Sciences and the
National Academy of Engineering (henceforth, the Academies), launched a study to determine the feasibility of
mounting a long-term, strategic program of research focused on a limited number of topics judged to be of crucial
importance for improving student learning in the nation's schools. The study was conducted by a multidisciplinary
committee composed of education researchers, practitioners, policy makers and other experts chosen to bring the
widest possible range of perspectives to this task.
EXECUTIVE SUMMARY 2
• How can advances in research on human cognition, development, and learning be incorporated into
educational practice?
• How can student engagement in the learning process and motivation to achieve in school be
increased?
• How can schools and school districts be transformed into organizations that have the capacity to
continuously improve their practices?
The committee selected these three questions for a number of reasons. Together they lie at the heart of
education. It is possible, in seeking answers to them, to draw on substantial research as well as to imagine the
outlines of future studies. They speak directly to the problems that teachers and school officials encounter and to
the concerns of parents and the public more generally. Perhaps most important, they hold the potential for
leveraging large improvements in student performance.
There is no doubt that educational practice can be strengthened by careful scientific research
How to realize this potential is not self-evident. There is no doubt that educational practice can be
strengthened by careful scientific research. But it is not clear how to make the integration of research findings an
organic part of the education system. Therefore, the committee proposes a fourth and overarching research
question:
• How can the use of research knowledge be increased in schools and school districts?
This question, expressed variously as knowledge utilization or knowledge mobilization, raises issues about
the preparation of teachers so that they can be consumers of research, about the
EXECUTIVE SUMMARY 3
design of schools to create effective learning environments, and about bringing policy into alignment with new
strategies for teaching and learning. Above all, however, it is about the translation of research findings into forms
useful for educational practice. It will require large-scale, systematic experimentation and demonstration to
transform knowledge about human learning and the development of competence into the working vocabulary of
teachers and schools.
To initiate and guide these activities, the committee proposes the establishment of four interconnected
networks:
Each network will include distinguished researchers working in partnership with practitioners and policy
makers and supported by a national coalition of public and private funding organizations and other stakeholders,
including legislators, state education agencies, teacher associations, organizations representing the research
community, and other groups. Members of the four SERP networks would conduct research designed to help
answer each network's hub question. They would also stimulate other researchers to undertake relevant studies,
synthesize findings from their own and others' work, and plan future investigations. In addition, a major
preoccupation of all
EXECUTIVE SUMMARY 4
four networks, but especially the fourth, would be to find ways to ensure utilization of the research by
practitioners. A core premise of the plan is that the program of research, synthesis, and implementation activities
will be strengthened by the interactions among researchers, practitioners, and policy makers in the networks.
Given the complexity of the issues, the magnitude of the research challenge, and the stakes involved, the
committee strongly recommends that this program be implemented with the expectation that it will continue for at
least 15 years. The committee is confident, however, that significant contributions to educational systems will be
possible within the first 5–7 years because a considerable body of potentially useful research already exists in each
area.
The committee offers suggestions for organization and management of the overall program in the body of this
report. The suggestions do not add up to a blueprint for SERP; a detailed plan can only emerge through
discussions among all the professional groups in education and the potential funders of the program—federal,
state, and private. But we are proposing a new model for education research as the heart of the SERP idea. This
new model has six of the crucial features: (1) promotion of collaborative and interdisciplinary work; (2) provision
of constant, ongoing commitment on the part of core teams of researchers; (3) a built-in partnership with the
practice and policy communities; (4) iterative and interactive interplay between basic and applied research in a
structure that combines the richness of field-initiated research and the purpose of program-driven research; (5) a
plan that is sustained over a long enough time for results to be cumulative; and (6) an overall structure that is
cumulative in nature—each step planned to build on previous steps.
This new model [for education research] has . . . a built-in partnership with the practice and policy communities
Our excitement about the idea of a Strategic Education Research Program has not blinded us to the risks. It is
clear that the quality of both scientific and organizational leadership will determine its success. The intellectual
and management challenges that will have to be met are formidable and will demand exceptional talent,
commitment, and perseverance on the part of all of those responsible for it.
EXECUTIVE SUMMARY 5
By design, the SERP plan is focused, collaborative, cumulative, sustained, and solutions oriented
The Strategic Education Research Program proposed in this document represents the first large-scale effort of
its kind. By design, the SERP plan is focused, collaborative, cumulative, sustained, and solutions oriented.
• Focused SERP targets four hub research questions that hold great promise for strengthening learning in
U.S. schools. This strategic focus will help harness the nation's powerful intellectual resources and
expertise, making the networks more productive, more closely linked to classroom practice, and more
accountable for demonstrable progress.
• Collaborative Finding answers to each of the hub research questions will require the combined insights of
many fields—including cognitive functioning, social processes, and organizational change—as well as
the deployment of the full array of research methods. Asking the right questions will require the wisdom
of those who are deeply engaged in practice and the insights of policy makers. The organization of the
effort through carefully coordinated networks of researchers, educators, and policy experts will promote
the needed cross-fertilization that is commonly missing from current research efforts.
• Cumulative SERP recognizes that the traditional linear model of research—from basic research to
applications—has not been productive in changing complex social systems like
EXECUTIVE SUMMARY 6
education. It envisions a new model of research, combining elements of field-initiated and program-
driven research within a structure that will encourage a continuous process of taking stock so that each
stage builds on what has been learned. Research or demonstrations in applied settings are as likely to
define the next basic research questions as vice versa.
• Sustained SERP will function over a 15-year period (with decision points about continuation along the
way), with constant, ongoing commitment on the part of its participants. Network members will maintain
their own identities and activities in their particular professions and disciplines, but they will commit a
substantial portion of their time and effort to network activities for more than a decade.
• Solutions Oriented SERP involves practitioners and policy makers in helping to define problems, devise
solutions, and monitor the effects of research-based approaches. This built-in partnership with the policy
and practice communities should have the healthy side-effect of cultivating a greater readiness on the part
of local communities and schools to view research as a source of solutions for educational problems.
EXECUTIVE SUMMARY 7
Not least, it would support fledgling efforts to build better bridges, based on a foundation of mutual respect,
between the practitioner and the research communities.
More concretely, the answer lies with American students and American schools
Imagine what could be accomplished if the nation committed itself to a concerted effort to find out what
needs to be known in order to improve achievement among these children. Imagine what they might achieve if the
nation's leading researchers and education experts were to concentrate—not just for a month or a year, but for
more than a decade—on how to facilitate and motivate their learning. That is the mission of the strategic plan for
education research and its utilization presented in this report.
Next Steps
In the Preface, Bruce Alberts expresses his hope that this report will catalyze major new investments in
education. As a first step, the National Academies propose to launch a year-long national dialogue during which
the idea for a Strategic Education Research Program is discussed with all of the professional groups involved in
education.
This committee strongly endorses that plan: We urge the federal government—in particular, the Department
of Education and the National Science Foundation—major foundations whose mission includes improving
education, state and local education leaders, and education research organizations to join the Academies in this
year of dialogue to see if, together, we can transform the SERP idea into a productive collaboration to use the
power of science to improve education in the United States.
EXECUTIVE SUMMARY 8
1
Can Research Serve the Needs of Education?
This report presents the general outlines for a program of research designed to strengthen current efforts for
education reform. It advances a strategy to focus education research on a few critical topics that both address
needs identified in professional practice and are likely to produce large payoffs. The committee hopes that the
report will, at the very least, generate interest and stimulate discussion about how to use the power of scientific
research to improve education. It is an invitation to everyone involved in education to discuss the feasibility of the
proposed plan, to work out the details, perhaps to become allies in a common cause.
The report is thus addressed to many audiences. It is addressed to the federal government—federal dollars
now constitute between 60 and 75 percent of total national resources for education research. It is addressed to state
and local officials who have primary responsibility for the American education system. It is addressed to the
thousands of teachers and administrators who every day face the immediate realities of educating America's
children. It is addressed to the community of scientists and scholars who command powerful tools of analysis and
observation that could strengthen teaching and learning. And finally, it is addressed to the philanthropic
organizations that have played such an important role in promoting education during the course of this century.
Education reform efforts in the United States have been almost continuous
Because education holds so central a place in the nation, education reform efforts in the United States have
been almost continuous. These efforts have been based on passion, conviction, and, occasionally, research.
Almost all have been declared a success by at least some people. And indisputable progress has been made in
terms of school attendance, years of schooling, levels of literacy, and the quality of classrooms and equipment.
Yet, as the twentieth century ends, few people are fully satisfied with the condition of education in the United
States
Many individuals and institutions have been involved in school reform. From the great education reformers
of the nineteenth century—Horace Mann in the 1840s, John Dewey in the 1890s—to the major philanthropies in
the twentieth century—the Carnegie, Spencer, and Ford Foundations and the Julius Rosenwald Fund (which built
schools all over the South) the idea of improving education in order to improve society has been a powerful force.
Since the 1850s, when the principle of
state-supported schools for all children triumphed in most parts of the country, state and local governments have
played a central role in the governance of what rapidly became "school systems." In successive waves of reformist
sentiment, schools have been used as the instrument for shaping a rural populace into an increasingly urban and
industrial one.
Each reform attempt is an exercise in optimism and creativity. Reform efforts require considerable energy and
commitment. They also require financial resources and long time horizons. The dynamism and ferment that
characterize education reform efforts in the United States have led to significant change and progress on many
fronts. But the country has undergone even greater change, with the consequence that public frustration with the
quality of education in the United States has been as constant as reform efforts.
Can the balance between optimism and frustration be shifted? Can the likelihood that reform efforts will
produce students who are better learners be increased?
1 This section draws on an earlier report, Research and Education Reform: Roles for the Office of Educational Research and
Complexity
Education in the United States is an extraordinarily complex, dynamic system, which has to continually adapt
to changes in the society. More centralized systems or more traditional societies, or simply smaller countries,
present more manageable challenges for designing education research, but in any setting it must deal with the
behavior and development of individual students, group dynamics of the classroom, and institutional change of
school systems—all in the context of the evolving needs of the society. Research in education examines an ever-
changing process, without end and without final answers. Yet good research can often make the difference
between adaptations that improve the educational process and those that don't.
Underinvestment
The federal government has made major investments in research in many fields in the last half century. As a
result, medical treatment, defense, agriculture, space exploration, technology, and other social goods have made
important progress. Although between 60 and 75 percent of support for education research comes from the federal
government; that represents less than 1 percent of federal spending on education. And the dollar amount pales
when compared with federal support of medical, defense, or even agricultural research. From another view,
although education for kindergarten through grade 12 (K-12) costs close to $340 billion per year (U.S.
Department of Education, 1997), virtually no state funding supports education research. In short, the nation has
made an enormous social investment in education with relatively little reflection, scientific rigor, or quality
control.
Lack of Focus
Past investments in education research can only be described as diffuse. K-12 schooling in the United States
is such a vast enterprise and takes place in such diverse settings that letting ''a thousand flowers bloom'' in
education research appeared to
be a sensible, responsive approach. The federal bodies that set priorities for education research have tended to
frame their agendas very broadly. The foundations and agencies that fund research have encouraged and supported
an extremely wide spectrum of research and development activities. This approach has resulted in innovative
studies, fascinating findings, and isolated success stories, but it has not had the widespread effects on student
learning that would create demand for the fruits of research. The National Research Council's recent assessment of
the federal role in supporting education research concluded that the agencies responsible for education research
have spread their limited resources "so thinly that mediocrity was almost assured. Only a few lines of research
have been sustained for the time needed to bring them to fruition" (National Research Council, 1992:3).
The challenge of incorporating . . . research findings into over a million classrooms is daunting
To explore this challenge, in 1996 the National Research Council, the working arm of the National Academy
of Sciences, convened a committee of 16 people broadly representative of the target communities: researchers in
various fields, teachers, state- and district-level administrators, policy makers with federal and state experience,
and analysts who have watched and commented on the education enterprise from some remove. The committee
was asked to address four questions:
• Is it possible to identify a limited set of research questions of such crucial importance that answers to them
could strengthen schools and bring about substantial improvement in student learning?
• Can a group of leading researchers, policy makers, and practitioners agree on what those questions would
be?
• What would it take—in terms of resources, time, and organizational capacity—to answer those questions?
• What would it take to ensure the utilization of knowledge and solutions emerging from this effort?
The committee grappled with these questions over a 2-year period. Its members took a hard look at the field
of education research, assessing the strengths and weaknesses of the existing knowledge base. They came back
again and again to the real problems that teachers and principles and superintendents face every day and to the
special needs of schools and students in communities plagued by poverty and its attendant problems.
The committee also discussed at length what a strategic research program would look like. The committee
became convinced that a Strategic Education Research Program as proposed in the following pages could increase
the potential of research to improve education by focusing attention and resources on a limited number of critically
important research questions and by placing utilization issues at the core of the effort.
Defining Strategic
While "strategic" is easy to understand in games like chess and in a military context (e.g., destroying
industrial plants and communications facilities to compromise an opponent's capacity to mount military
operations), what does it mean in the more pacific realms of learning and education? Having in mind one clear and
overriding goal—substantially improving students' learning—the committee ultimately identified seven
characteristics that would make a program of education research strategic.
• Strategic research would both advance fundamental scientific understanding and serve practical
needs.2 If administrators, teachers, and other educators are to become consumers of research, then the
research community will have to pay far closer attention to the needs of practitioners and policy makers.
Conversely, if the ultimate goal of education reform is to improve all student learning and not just in a few
classes or schools, then reformers would do well to build on systematic knowledge and the scientific
tradition of hypothesis testing. Scientific knowledge about the workings of the mind and the
2 For an interesting discussion of the need to move beyond artificial distinctions between basic and applied science, see
Stokes (1997).
brain or the processes of learning, for example, can and should inform reform efforts.
• Strategic research would be highly focused. Improving student learning requires substantial resources
and public resolve; supplies of both tend to be limited. It is therefore necessary to focus on a few very
high priorities.
• Strategic research would address topics of self-evident importance. To be strategic, research must
address topics that parents and the general public believe are crucial to improving the quality of
education. Each topic should be grounded in the concerns of policy makers, teachers, administrators, and
researchers, and solutions to each problem should be seen as valuable from all of their perspectives.
• Strategic research would be high-leverage research. The goal, in other words, is to pick topics likely to
have the most effect on the specified outcome—in this case, improved student learning.
• Strategic research would address issues that form a coherent set. Focusing strategically suggests that
each topic should be relevant to the others so that results are mutually reinforcing. This internal coherence
will increase the likelihood that the institutions and individuals who influence children's learning will see
the benefit of using well-tested education research.
• Strategic research would be located at the nexus of scientific opportunity and practical need. It is
critically important that the selected research topics are the product of informed estimates of scientific
promise and likely to engage the most able researchers so that there is reason to believe that the program
can be successful. At the same time, the research topics need to reflect issues and problems that are
important to teachers, administrators, and policy makers.
And, finally:
• Strategic education research requires continuity. As with other complex social systems, the problems
and inadequacies in education defy simple solutions or magic bullets. In addition to focus and leverage
and the other characteristics described above, it will require sustained attention over time to build a strong
body of research that is useful—and used—in education.
research and reform efforts. We believe a strategic research program can strengthen them and help them realize
their goals.
The Department of Education's Office of Education Research and Improvement (OERI) supports 12 research
and development (R&D) centers and 10 regional laboratories. Established in the mid-1960s in response to
concerns about the quality of education, the OERI centers have engaged in a shifting menu of basic and applied
research and development. Several have made outstanding contributions over the years: the Learning Research and
Development Center at the University of Pittsburgh, formerly an OERI center, has been a leader in the application
of cognitive science to education; the Center for Research on Evaluation, Standards, and Student Testing at the
University of California at Los Angeles, a current one, has had a positive influence on testing research and policy.
But with modest federal funds divided among many centers (each receiving approximately $1 million per year
over a 5-year grant cycle) and each center pursuing its own mission, the centers do not represent the "critical
mass" needed for significant progress in a major, complex field.
In contrast to the R&D centers, the OERI regional laboratories have focused primarily on demonstrations, the
development and dissemination of materials to state and local educational officials and technical assistance to
educators. The 10 labs have focused on bridging the gap between research and practice. In general, surveys of
educators suggest that the dissemination activities of the regional labs are reaching their audience. But evaluations
of the labs have found little communication and coordination among the regional labs and the centers, although
there are a few notable exceptions (Cross, 1989; Turnbull et al., 1994).
In a somewhat different vein, in 1991 the National Science Foundation began an ambitious Statewide
Systemic Initiative (SSI)—later expanded to include more focused urban and rural initiatives—to try to combat the
overwhelming tendency of education reforms to be swallowed up by the existing system. The SSI is built on a set
of ideas, articulated powerfully by Marshall Smith and Jennifer O'Day (Smith and O'Day, 1991; O'Day and Smith,
1993), that focus on the need for coherence and alignment of all parts of the education system. Some 26 states
(including Puerto Rico) and 22 cities have received grants to date, and each was encouraged to develop its own
vision of
reform of science and mathematics education. Although none of the initiatives has been adopted on a statewide
basis and there have been some outright failures, many of the participants think the SSI has been a worthwhile
experiment. No one would claim that 7 years and an expenditure of $600 million has transformed science and
mathematics education in any of the participating states or cities (Mervis, 1998). But much has been learned and
even more will be learned as evaluations and case studies accumulate.
A very different approach to education reform is proposed in the so-called PCAST report, The Use of
Technology to Strengthen K-12 Education in the United States (President's Committee of Advisors on Science and
Technology, 1997). This wide-ranging proposal calls for a very sizable investment in research on the use of
technology to enhance learning. It touches on many important issues, including curriculum content and pedagogy,
professional development, and equitable access to technology. It recommends a major program of experimental
research—basic research in learning-related disciplines such as cognitive science and developmental psychology,
early-stage research on the implementation of theory-based instructional programs, large-scale empirical studies to
identify effective approaches to the use of technology in education. This proposal has not yet been implemented,
but its lack of reference to any of the other major reform efforts suggests that its coordination with other current
efforts may be modest.
What we do have is an idea for a vehicle . . . that until now has been lacking
The next two chapters lay out the elements of that idea: a strategic plan for education research and its
utilization.
It is possible to glimpse bigger possibilities in these programs—important research findings, helpful
dissemination activities, valuable experience in making the many components of school systems work more
effectively together, and the goal of making computer technology a useful tool in education—a whole that is
something more than the sum of its parts. One could go on to the myriad of state and local reform efforts,
foundation activities, and popular school improvement campaigns. The picture of current activities that emerges is a
potpourri of programs and activities that together represent an enormous expenditure of energy and political
capital but that exhibit an equally striking lack of coordination. The OERI centers are, for the most part, on too
small a scale to make a difference. The regional labs are supposed to bridge the gap between research and
practice, but they are only modestly coordinated with the centers. Moreover, the very distinctions
between the missions of research centers and practitioner-oriented labs are likely to be a bar to the effectiveness of
the OERI program. The National Science Foundation, in leaving the design of the SSI to each grantee, was not in a
position to infuse the program with the cognitive and learning research it has supported over the years nor to build
on the work of its sister agencies, the Department of Education and NICHD. To the extent that they exist, outside
evaluations of the current programs suggest that, while each has been able to accomplish useful things, none has
fulfilled its potential. The PCAST proposal may also represent the same danger—reasonable but too uncoordinated
and too small to make a real difference in the nation's education systems.
Can the energy, the creativity, the insights, and the lessons learned from the many research programs and
reform efforts be more effectively focused? We do not claim to have the blueprint in hand for accomplishing this
task. What we do have is an idea for a vehicle, a program of use-inspired research that is strategic enough to
reinforce and extend what is good in current research and reform efforts and to create a synergy among the
organizations—federal, state, and private—that until now has been lacking.
The next two chapters lay out the elements of that idea : A strategic plan for education research and its
utilization
2
Focusing Our Efforts: Four Key Questions
At the heart of the committee's deliberations was the issue of focus: Could the 16 members, drawn from very
different parts of the education enterprise, reach agreement on a limited number of questions around which to build a
large-scale research program? The early views of committee members ranged from agnostic to skeptical. The
group considered a wide range of research topics, searching for those with the greatest potential for improving
student learning. Over time, various members made compelling cases for specific lines of research. As the
discussion matured, so did the selection criteria.
In setting its priorities, the committee asked, "Which questions, had we answers to them, would make a
significant difference in student learning?" After extensive debate, the committee reached consensus on four key
questions that warrant intensive, focused research efforts. These topics are presented as questions from the
perspective of the school.
• How can advances in research on human cognition, development, and learning be incorporated into
educational practice?
• How can student engagement in the learning process and motivation to achieve in school be
increased?
• How can schools and school districts be transformed into organizations that have the capacity to
continuously improve their practices?
• How can the use of research knowledge be increased in schools and school districts?
This list is intentionally short. The priorities it sets are consistent with, but significantly more focused than,
the agenda
for education research set by the U.S. Department of Education and its National Education Research Policy and
Priorities Board. To be sure, the research literature covers many additional domains of knowledge; the reform
movement embodies other worthy goals for American education, such as civic responsibility and arts experience.
The committee chose these topics because they lie at the heart of education: together they hold potential for
significantly improving student learning. They speak directly to the problems that teachers and school officials
face every day. They address the most pressing concerns of parents and the general public. They have links to
substantial bodies of underutilized research. They work together as a set—they could yield a mutually reinforcing
set of answers. Not least, the four questions offer a conceptual framework that could weave together many existing
research programs and reform efforts. The resources and energy invested in this strategic program of research
could have a high payoff for American education.
1 This section draws heavily on the discussion of the science of learning and its implications for educational practice in How
People Learn: Brain, Mind, Experience, and School (National Research Council, 1999a) and How People Learn: Bridging
Research and Practice (National Research Council, 1999b).
from diverse disciplines, including cognitive science, developmental psychology, linguistics, anthropology,
neuroscience, philosophy, and information science.
Advances in the study of mind and brain, cognition, and development provide a rich context for thinking
about education. What has been learned from all of these fields offers a new understanding of human learning and
the characteristics of organized knowledge that can be used to promote effective comprehension and productive
thinking. Cognitive science theories and experiments help in understanding the mind's functioning and the
development of competence. The physical organ, the brain, is more visible than ever before, thanks to new
neuroimaging and other technologies. Neuroscientists can actually see pictures of brain changes over time and
brain variations during different activities and among different individuals. Developmental scientists have found
imaginative ways to study the cognition of infants and small children; their work reveals infants as active, hungry
learners with strong predispositions toward language and number and the ability to make distinctions between
animate beings and inanimate objects.
Advances in the study of mind and brain, cognition, and development provide a rich context for thinking about
education
One of the most important influences on contemporary learning theory comes from basic research on how
experts learn and think in contrast to the ways novice learners approach new tasks and go about solving problems.
For example, one of the characteristics of expert learners is that they consciously use mental devices to keep
themselves on task and to obtain feedback about their learning, including the extent of their understanding, what
else they need to know, if they need to repeat a step because they didn't quite ''get it,'' and so on. These strategies
of thinking about thinking—metacognition—can facilitate and enhance any learners' efforts to attain understanding
(Simon, 1996).
This knowledge about the efficacy of metacognitive processes indicates how marked a departure current
learning theory has made from the behaviorist models that prevailed for much of the twentieth century. The earlier
theories focused on the relationships between observable stimuli and observable responses; little consideration was
given to the processes of the learner's mind or the social and cultural context in which learning takes place. Yet the
process of explicating higher order skills and the most effective means of cultivating such skills ". . . is precisely
what we need to establish [as] a scientific foundation
for the new agenda of extending thinking and reasoning abilities to all segments of the population" (Resnick,
1987a:7).
Today's learning scientists have shown that knowledge is the product of both an individual's cognitive
activities and the supporting human culture (Stigler et al., 1989; Bruner, 1990, 1996; D'Andrade, 1995; Cole,
1996; Shore, 1996; Geertz, 1997; Strauss and Quinn, 1997). There is broad consensus that the context of cultural
and social norms and expectations influence people's acquisition and uses of knowledge in powerful ways.
The portrait of human learning that is emerging from the new science of learning suggests approaches to
pedagogy, instruction, curriculum, and assessment that differ significantly from those common in today's schools
(National Research Council, 1999; Resnick and Klopfer, 1989). The path from learning research to effective
classroom practice, however, is neither simple nor straightforward. It will require an intensive research effort,
including school-based research.
There are many tantalizing avenues a Strategic Education Research Program might explore. The rest of this
section discusses several of these avenues.
Young learners are far from the empty vessels to which they have often been compared
fying students' prior knowledge, including misconceptions and misunderstandings, can teachers use instruction to
move their students on to more accurate and more sophisticated levels of understanding (see the review by Mestre,
1994).
In other words, students come to school with preconceptions about how the world works. If that initial
understanding is not engaged, students may fail to grasp the new information or concepts, or may learn for
purposes of the test, but fail to transfer the learning to new situations (see National Research Council, 1999:Ch. 4).
The challenge for teachers is to build on children's early learning and promote the growth of conceptual
knowledge. Teachers need to make time to hear their students' ideas and questions. They need to be on the lookout
for the misconceptions that characterize children's immature thought and frame their learning. They need to be
prepared to assess children's thinking abilities, to decide when to make connections between existing knowledge
and school learning and when to help the child overcome misconceptions or naive understandings.
Teachers need to make time to hear their students' ideas and questions
that can be used to solve them (Larkin, 1983). Helping students to recognize and build on knowledge structures is a
crucial goal of teaching.
A student's capacity to function within a conceptual field will mature as he or she is helped to mesh different
kinds of information, use them as a springboard for abstract thinking, and apply more rigorous forms of reasoning
(Webb and Romberg, 1992). Curriculum can be thought of as a way to familiarize learners with the landscape of a
knowledge domain or subject matter, so that they can negotiate the new terrain on their own and make effective
use of its resources (Greeno, 1991). They need the kinds of learning activities that will help them talk, write, and
think about the subject matter. By talking and listening to each others' thinking, learners gain the vocabulary,
syntax, and rhetoric—the discourse—needed to understand and describe the knowledge structures associated with
specific subjects and specific problems. They can gain greater capacity for metacognition—thinking about and
gaining insight into their own thinking and learning processes. Helping students evaluate and regulate their own
learning, using communication with peers and teachers as part of the process, can be effective in various domains
(Carey, 1996; Treisman, 1996). Educational technologies can help students develop models of what they are
learning. They make the learners' reasoning processes public and inspectable (Schauble, 1996; Chapman, 1996).
Educational technologies can help students develop models of what they are learning
develop a much finer sense of what might be called the conditions of applicability of their knowledge. They know
when to use it and when it is not appropriate, how to fine-tune it to make it appropriate to different circumstances,
and how to develop strategies for addressing scenarios that differ from the primary case [Anderson et al., 1996;
Ericcson, and Charness, 1994; Cognition and Technology Group at Vanderbilt (CTGV), 1997].
There are many implications for schooling in the research on transfer of learning. Much remains to be worked
out in practice. A teacher's focus needs to be on helping students make connections between new and old
knowledge. This means, in part, helping students approach learning situations in a deliberate fashion. A learner
needs to see the relevance of the cognitive processes she or he controls, including processes of comparison,
evaluating same/different distinctions, categorizing the new problem in terms of what seems familiar or
unfamiliar, and so forth. The goal is to help students think about the specific challenges associated with new
material, anticipate difficulties, evaluate feedback, and explain things to themselves to gauge their own progress
toward understanding.
Researchers who study how environments support learning and development argue that the human being at
any point of development learns within the framework of meaningfulness. Researchers in the Vygotskian tradition
believe that anchoring learning in specific situations taps a critical source of meaning, and they encourage
connections between learning and one's
personal history. "Whether dealing in remembering, or the development of mathematical knowledge and problem
solving within a cultural group . . . [we] need to ground theoretical statements and empirical claims in a unit of
psychological analysis that corresponds to the lived events of everyday life" (Cole, 1996:220).
Cole's is one among a variety of new approaches in developmental science to call for more attention to
settings (the ecology) in the study of learning and behavior (Bronfenbrenner and Morris, 1998). This represents a
clear departure from older approaches to cognition that focused almost exclusively on the internal processes of an
individual mind. The social perspective emphasizes the practical and social grounding of cognition in the
structures of everyday activities and relationships (Suchman, 1987; Lave, 1988a, 1988b; Rogoff, 1990; Lave and
Wenger, 1991; Wertsch 1991; Hutchins, 1995; Nardi, 1996). It focuses attention on a number of mechanisms of
learning that did not emerge in earlier studies of individual cognition, on the internalization of social processes
during learning. This research also has provided insight on how learning is guided and supported ("scaffolded") by
more experienced individuals and how learners play an active role in their own development (Rogoff and
Wertsch, 1984; Rogoff, 1986, 1990; Resnick, 1987b; Lave, 1988a, 1988b; Brown et al., 1989; Lave and Wenger,
1991).
The social perspective has had a significant effect on how classroom learning is studied, and it has produced
research on local variations in classroom activities and organization (Heber, 1981; Heath, 1983; Rohlen, 1983;
Cazden, 1988; Tobin et al., 1989). The social perspective has also focused scholarly attention on understudied
populations of learners and revealed learning differences among children of differing social class and learning
variations associated with race and ethnicity (Ginsburg, 1997; Brice-Heath, 1981, 1983).
A final variant on the theme of cognition as a social process is the idea of distributed cognition. When
scientists hold laboratory meetings to discuss a project and share their ideas, experiences, successes, failures, and
ideas for next steps, they share a knowledge of a subject that propels the discussion beyond procedural details to
the substantive issues. Professionals and scientists frequently use a collegial mode of inquiry and interaction,
having found that the exchange of ideas will lead to quicker and more effective solutions than individual work
alone.
Professionals and scientists frequently use a collegial mode of inquiry and interaction
Distributed cognition could prove to be an important construct for developing more successful ways of
organizing classrooms and instruction. It is often cited as part of the promise of new computer-based educational
technologies (Pea, 1993; Cognition and Technology Group at Vanderbilt, 1998). There is some evidence that this
approach to learning can be an effective mechanism for classroom learning (National Research Council, 1999;
Brown and Campione, 1994). In classrooms designed to encourage this approach to children's learning,
researchers have discovered that even locating and defining a problem is often a joint enterprise (Wertsch et al.,
1980). While some aspects of problem solving take place "in the head," many others take place "in the world."
Bits and pieces of the approach are visible in many schools in the use of aides and volunteers in the
classroom, team teaching within and between schools, and the inclusion of community members and academic or
industrial specialists in school activities. There have been some exciting experiments with programs like
cooperative learning, but there is much to be learned about how to translate the insights from the research on
distributed learning into programs that improve student learning in the average school.
Why do some individuals persist even when they are struggling, while others quit at the first sign of difficulty?
The issue is of fundamental importance. No amount of research and no attempts at reform are likely to
strengthen learning unless students themselves are willing to work hard. The challenges of today's world require a
level of knowledge and expertise that cannot be acquired without effort, even by the most able students. From the
early grades, learners must exert themselves to pay attention, to carry out assignments, to study and review
challenging material, and they must somehow be motivated to do these things.
In general, more is known about how learning takes place than about the conditions and incentives that
motivate students to expend effort and to achieve special goals. Although there is a lot of research on motivation,
there is no commonly accepted unifying theory or even a set of agreed-upon principles and no systematic
application of what is known to educational practice. This lack of knowledge is especially troubling in light of
strong evidence that the great majority of American students are not paying as much attention to schoolwork or
exerting as much effort as they could. A survey conducted by Public Agenda (1997), Getting By: What American
Teenagers Really Think About Their Schools, indicated that two-thirds of teenagers readily admit that they could
do much better in school if they tried. Half of the teenagers surveyed by Public Agenda say their schools fail to
challenge them to do their best.
Teenagers readily admit that they could do much better in school if they tried
Other studies support these findings. For the Mood of American Youth (National Association of Secondary
School Principals, 1996), American teenagers were surveyed about their attitudes toward various aspects of their
daily life; the survey revealed far more positive attitudes toward friends, sports, and social activities than toward
classes and learning. Does this matter? A study from the U.S. Department of Education's National Education
Longitudinal Survey:88 investigated the relation between eighth graders' engagement with learning (including
attendance, class participation, extra-curricular involvement, and several indicators of a students' identification
with the school) and their school achievement. The survey shows a strong positive relationship between the degree
to which school matters to students and the outcomes of schooling, and these relationships persist even when
racial, socioeconomic, and home-language differences are controlled (U.S. Department of Education, 1990).
It is clear from this data, to say nothing of the everyday observations of teachers, that there is great variation
in the motivation (willingness to expend effort) that students bring to their studies and, furthermore, that a very
substantial proportion of children in schools expend only modest amounts of energy and time on learning.
Achievement data indicate that a significant minority of children in schools expend only minimal effort on
acquiring the skills and knowledge needed to participate fully in society as adults. If ways can be found to increase
the amount of effort that students, and particularly young stu
Motivation to achieve is strongly related to . . . beliefs about the nature of intelligence and how it is acquired
Cross-cultural research lends support to this view. An extensive study of elementary education in Japan,
China, and the United States suggests that higher achievement in Asian countries results, at least in part, from a
belief in the power of effort on the part of teachers, parents, and students (Stevenson and Stigler, 1992). This study
emphasizes the role of parents, noting that U.S. parents are far less likely to subscribe to effort-based notions of
achievement. The researchers note the propensity of U.S. parents to communicate low standards and accept less
than optimal performance.
Children tend to solidify a sense of who they are academically and where they stand in relation to their peers
when they are in the primary grades (Carnegie Task Force, 1996). The notions they form about their own
capabilities, based on messages received from their family, school, community, and the popular media, can
strongly influence their motivation to succeed and their later success. Societal messages about fixed aptitude
associated with groups (by race, ethnicity, or gender) can be particularly oppressive. For example, African
American students appear to resist intellectual but not athletic competition; constant messages about the academic
inferiority of black students negatively affect black students' perceptions, resulting
for many in avoidance of intellectually competitive environments (Howard and Hammond, 1985). A relationship
between attributions of fixed aptitude to ethnic groups and students' performance has been demonstrated
experimentally (Steele, 1992; Steele, 1997; Steele and Aronson, 1995).
Figure 1
Variables that may affect student motivation. SOURCE: Adapted from materials developed by committee member
David A. Goslin.
If parental beliefs about the nature of intelligence and learning influence children's engagement in learning
generally, parent's attitudes can also influence children's school performance in specific subjects or domains. The
most studied domain is literacy (DeBaryshe, 1995; Spiegel, 1994). Researchers have shown that intrinsic
motivation for reading is more likely to develop in homes where literacy is viewed as a source of entertainment
and pleasure (Baker et al., 1995). This is an important finding, since studies of reading and motivation show that
for school-age children, positive attitudes toward reading correlate with higher levels of reading achievement
(Baker and Wigfield, in press).
Teachers' attitudes and expectations also influence students' motivation and achievement. In the late 1960s
and 1970s there
were numerous studies of teacher expectations, including observational studies of classrooms, to determine
how teachers interact with students that they perceive to be high or low achievers. One study (Brophy and Good,
1974) found that about one-third of classroom teachers show patterns of highly differentiated behavior: they call
on low achievers less often to answer classroom questions or perform demonstrations, wait less time for them to
answer questions, praise them less frequently after successful responses, criticize them more frequently for
incorrect responses, and do not stay with them in failure situations (by providing clues or asking follow-up
questions). Another study (Kerman, 1979) identified behaviors that teachers in Los Angeles were more likely to
use with students whom they perceived to be high achievers; when they instructed those teachers to purposefully
use those behaviors with low achievers, the result was improved performance.
Much remains to be discovered about the influence of adults' attitudes and expectations on children's
motivation and engagement. More knowledge is also needed about how parents'
and teachers' expectations arise; how their expectations relate to children's actual performance; how their behavior
communicates expectations, evaluations, and rewards; and how that behavior affects children. Parents obviously
influence their children's learning, but much more needs to be known about whether parent behaviors and attitudes
can be changed, the kinds of interventions that can change them, and how much these interventions would
ultimately improve student motivation and student learning (Baker et al., 1995).
There is also room for greater methodological rigor. Almost 20 years ago there was a warning that the
educational literature ''contains its share of loose thinking about expectations of lower-class and minority-group
children, much of it based on fantasy rather than hard evidence'' (Entwisle and Hayduk, 1982:164). The warning is
as cogent today, as parents and policy makers look to standards-based reform to change the expectation levels for
all students in order to motivate them to work harder and achieve more. The interaction effects are likely to be far
more complicated than the public enthusiasm admits of. Without rigorous study and evaluation, standards-based
reform is likely to become just another innovation that failed.
Motivating by Design
A distinction is commonly made between motivation generated by the intrinsic interest or value of the
material being studied and the creation of motivation through the use of extrinsic incentives, such as praise,
grades, stars, or other rewards (Stipek, 1993). There is reason to think that both factors can be purposefully
manipulated to increase student engagement. One line of research shows that intrinsic motivation can be enhanced
through involvement in activities that are varied, engaging, social, and "authentic" (that is, related to real-world
purposes or uses). For example, project-based learning, which allows small groups of students to work together on
extended projects, can increase students' motivation to learn (Brown and Campione, 1996). Discovery learning, an
approach developed by cognitive scientists to encourage students to discover for themselves concepts and
connections which underlie a body of knowledge, can be more engaging than a traditional lecture (Simon, 1996).
But not every subject can be made intrinsically interesting to every student. If they are to expend sufficient
effort on their
schoolwork, most students sometimes need extrinsic incentives. Instructional designers have introduced specific
strategies to increase student motivation. For example, cooperative learning methods have provided rewards to
heterogeneous groups based on the performance of all of their members. This incentive system motivates students
to encourage and support each other's learning (Slavin, 1995). If children are put in school environments that press
them to invent, explain, justify, and seek out information, it will help socialize them to an effort-based notion of
intelligence and thus promote achievement motivation (Resnick et al., 1996:19–20). Rewarding students on the
basis of improvement over their own past performance has also been found to be an effective incentive system
(Natriello, 1987; Slavin, 1980).
Analysis and experimentation are also focusing on the culture and structure of the school. A large-scale study
of high school students found that their motivation depends to a great extent on the quality of the relationships they
experience. Students thrive when schools are organized in ways that assure continuity in their relationships with
teachers and other adults (Lee and Smith, 1994). Ongoing work in District 2 in New York City, describes the
measures designed to provide students with "an identification with the aims of schooling, a sense of belonging
within a learning community, and a commitment—even a sense of responsibility—to participate actively in all
learning activities" (Resnick et al., 1996:33). One design element is for instructional activities to focus on
developing competence rather than just displaying current levels of ability.
Students thrive when schools are organized in ways that assure continuity in their relationships with teachers and
other adults
These studies show something of the promise that the choice of pedagogical approach and the design of the
instructional environment and materials can be positive factors in motivating students. They are a promising
avenue for further research.
(including Theodore Sizer, Arthur Powell, and David Cohen) have stressed the weakness of incentives for serious
learning in the culture as a whole (Sizer, 1992). The role of tracking and retention in grade as levers of
disengagement has also received a good deal of attention (Shepherd and Smith, 1989; Oakes, 1990, 1995). "A
volatile mismatch exists between the organization and curriculum of middle grade schools and the intellectual,
emotional, and interpersonal needs of young adolescents. [This situation] increases adolescents' levels of risk and
their vulnerability to a wide array of socioemotional problems and self-destructive behavior" (Felner et al.,
1997:521).
There has been much less research on motivation in the first decade of life, despite substantial evidence that
the problem of disengagement begins very early (Astone and McLanahan, 1991; Finn, 1989). Dropping out is not
an isolated event that happens in high school; it is the culmination of a process of disengagement from school that
can often be traced back to children's earliest encounters with school (Entwisle and Hayduck, 1982). In particular,
the propensity to dropout has been linked to absenteeism in the primary grades, a history of poor academic
performance in the early years, problems with social adjustment, and children's behavioral style, particularly
aggressiveness (Ensminger and Slusarcick, 1992; Lloyd, 1978; Kaplan and Luck, 1977). There are strong ties
between retention in grade in primary school and later dropping out, even with measures of academic performance
controlled (Stroup and Robins, 1972; Lloyd, 1978; Cairns et al., 1989).
The transition into full-time schooling (entry into first grade) constitutes a critical period for children's
academic development (Entwisle and Alexander, 1989, 1993). Research suggests that most children, including
those considered to be "at risk" of academic problems, begin school with high hopes; yet by the time they reach
grade four, many have lost their self-confidence. Years of Promise , a report by the Carnegie Task Force on
Learning in the Primary Grades (1996:4), put it this way: "Something happens to many American children as they
progress to and through the elementary grades—something elusive and disturbing: over the years, they lose their
natural curiosity and their enthusiasm for learning." The effects of early disengagement can be devastating,
especially in light of research showing that in the primary grades, children "are launched into achievement
trajectories that they follow for the rest of their school
years" (Alexander and Entwisle, 1988:1). Some studies conclude that it is possible to identify future dropouts as
early as the third grade (Lloyd, 1978).
Discovery learning gets students to work on interesting situations that motivate them to discover for themselves
certain underlying concepts and connections. Research on curiosity tells us that people will stop attending to a
stimulus if it is so simple it becomes boring, or so complex it appears chaotic and meaningless. A well-designed
discovery learning experience can introduce children to what scientists do and how they go about doing it and can be
more motivating than a traditional lecture approach. But discovery learning is not an automatic motivator. Research
indicates that in order to be effective, discovery learning experiences must strike the right balance between simplicity
and complexity, build on the previous knowledge and experience of the learner, and offer opportunities for discovery
at a pace that sustains student interest.
In sum, the existing knowledge base on motivation, though not inconsequential, is fragmented and has large
gaps. It is clear that parents' and teachers' attitudes and expectations in
fluence students' motivation and achievement, but there is much still to be learned about how their attitudes and
expectations can be changed and the ways in which those expectations relate to children's actual performance.
Motivation and engagement in the learning process are influenced by individual differences in students'
development and interests, as well as by cognitive, affective, behavioral, sociocultural, and institutional factors;
increased understanding is needed of the relative importance of, and relationships among the various influences.
And little is known about the long-term effect on different students of instructional strategies designed to increase
engagement and motivation, including those that make use of new technologies. Research suggests that motivation
is related to the culture of a school and its students' identification with its aims and commitments, but more
information is needed about the kinds of classrooms, schools, and school districts that achieve and sustain high
motivation.
A strategic program of research in the field of motivation could synthesize the many strands of motivation
research, seeding the process of integration and theory building, promoting and linking theory-based intervention
programs designed to increase student engagement and motivation, along with longitudinal studies of their
effectiveness.
and even identifying the emerging questions before issues turn into entrenched problems.
Two strands of research address the problem of creating schools and school districts that have the capacity to
enhance student learning, one on business organizations and one on schools and other educational institutions. In
the for-profit sector, recent research on organizational effectiveness has centered on an organization's capacity to
learn—that is, to acquire and distribute knowledge and to change in response to shifting conditions. From seminal
work by March and Simon (1958), an expanding literature has documented the evolution, characteristics, and
processes of a "learning organization" (Argyris and Schon, 1996; Kochan and Useem, 1992) and the type of
"quality management" needed to create and sustain it (Deming, 1986). Among the useful ideas to emerge is that an
organization predisposed to learn will develop processes for making tacit knowledge explicit so that knowledge
—observations about manufacturing glitches or service problems, about work habits, about customers and
suppliers—can be gathered, sifted, and applied.
The literature on learning organizations has focused attention on the idea of organizational culture. The work
of industrial anthropologists, for example, has documented relationships between the way work is organized and
the ability of organizations to be flexible and responsive to changing conditions. Researchers in organizational
development have drawn on work in cognitive science, political science, psychology, sociology, and anthropology
to study the relationship between group learning and individual learning and between culture and cognition
(Simon, 1996; Brown and Duguid, 1996; Brown et al., 1989; Hutchins, 1995). In this sense, many of the ideas
underlying studies of organizational learning are very much in accord with research on the nature of learning and
motivation, discussed above.
None of this work is likely to produce a how-to manual for running a school or school district, but it does
provide a useful framework for exploring the issues of aligning the institutional and bureaucratic aspects of
education with teaching and learning goals. In addition, there are a large number of case studies from the learning
organization movement that might provide fruitful analogies to illuminate the processes and problems of change in
education organizations.
The second strand of research relevant to continuous improvement includes work in recent decades that has
sought to identify the characteristics of effective schools (Murphy et al., 1985). Studies of school restructuring,
including a number of large-scale, long-term studies, have provided insight on the effects of various reform
strategies, the interactions among them, and the conditions under which they succeeded in improving student
learning (Felner et al., 1997; Newmann and Associates, 1996).
There is a growing consensus that policy and structural changes alone will not significantly improve student
learning; capacity building at the local school is essential (Consortium for Policy Research in Education, 1996;
Elmore, 1996; Tyack and Cuban, 1995; McLaughlin, 1991a, 1991b). High levels of student achievement flourish
when the culture of the school and its organizational structure are compatible and are mutually supportive of the
hard work of students and teachers (Newmann and Associates, 1996; Elmore and Burney, 1997). A structural
change in the length of classes from 45 minutes to 90 minutes, for example, will have little effect on increasing
student achievement unless teachers know and use pedagogical techniques that engage students in active learning
experiences (e.g., examination and discussion with peers of primary source materials, collaborative problem
solving) and students are prepared for active learning.
Policy and structural changes alone will not significantly improve student learning
While the literature associated with organizational development describes learning organizations, research on
schools often speaks of learning communities. Drawing on theory and practice in developmental psychology and
cognitive science, this research proposes that children learn best in the context of caring and collaborative
relationships (Carnegie Task Force on Learning in the Primary Grades, 1996). In response to these ideas, some
communities are creating smaller schools (or schools within schools), where students are well known by their
teachers.
An associated theme is the development of a professional community among teachers and administrators,
among school districts and schools, characterized by such things as shared values, collaboration, shared decision
making, professional development, and taking collective responsibility for students' learning. One study of
successful professional communities in five inner-city schools analyzed both the characteristics of their
professional relationships that appear to contribute to their success and the supportive structural conditions—time
to meet and talk, interdependent teaching roles, the power to make decisions (Louis et al., 1995a, 1995b).
Elmore and colleagues (Elmore and Burney, 1997) argue that a well-developed professional community is
one of the most important elements in restructuring schools to increase their capacity to implement a demanding
intellectual curriculum. Newmann and Wehlage (1995:30) identified three characteristics of professional
communities associated with higher levels of student achievement: clarity of shared purpose; collaboration to
implement the shared purpose; and collective responsibility for student learning (see also Ball, 1997; Putnam and
Borko, 1997; Resnick et al., 1991). The sustained collaborative work of teachers, researchers, and administrators
at the school and district level in reform experiments is beginning to provide empirical evidence that supports the
notion of professional community.
There are numerous examples of the importance of a well-developed professional community to make
structural changes effective. Instituting participatory decision making, for example, produces only superficial
changes in a school's power relations (Malen et al., 1990; see also Weiss, 1995). But in schools that have a strong
moral commitment to high intellectual standards for students, shared decision making supports the professional
community, which in turn is related to student achievement (Newmann and Associates, 1996). School size is
another example. Small secondary schools in particular can have a positive influence on student achievement
gains (Lee and Smith, 1995; Lee et al., 1995). Size appears to promote respect and trust between teachers and
students, but the effect is most likely to be achieved in schools where teachers assume collective responsibility for
student learning and there is a highly developed professional community in the school (Newmann and Associates,
1996).
A professional community in a school is an obvious community, but teachers and administrators are also
members of the professional communities within a school district. One Philadelphia district made an effort to
develop a common culture among the professionals in elementary, middle, and high schools so that continuous
support for student achievement could transcend the individual school building level (Newburg, 1991).
The idea that school districts should nurture culture and professional communities within itself is relatively
new. Yet, as the literature on organizational culture and organizational change makes clear, coherence and
alignment of goals and community norms are critically important for systemic reform initiatives.
Schools and school districts in many parts of the country are engaged in strenuous efforts to transform
themselves. There is much that is interesting, and some experiments are exciting, as the ongoing study of District 2
in New York City (Resnick et al., 1996) illustrates. Yet there is a fragmented quality to all of this activity that the
existing research base cannot knit together. Education research needs to find a new paradigm if it is to produce
major advances in our understanding of how schools and school districts function and how they can be made more
effective as organizations. This will require the collaboration of researchers in organizational sociology, social
psychology, political science, and education. It is, despite recent calls for a new academic discipline called
"change science" (Wilson and Barsky, 1998:246), a collaboration unlikely to occur on its own, but which is
conceivable within the framework of the Strategic Education Research Program described in Chapter 3.
that teachers tend to be wary of research, believing—not without reason—that for the most part it has little
potential for improving practice, is too remote from the classroom, fails to reflect their needs, and is not user
friendly. In one survey of teachers, less than half of them agreed that education research gave them practical
suggestions for improving instruction (Fleming, 1988).
These findings are troubling, not least because much of the research on cognitive development, motivation,
and organizational change argues for instructional practices and systemic reform models that differ dramatically
from traditional schooling. But these ideas have reached a very small percentage of the children now enrolled in
the nation's 87,000 elementary and secondary schools (Elmore, 1996).
Some studies on this topic are characterized as "research to practice" studies; some are known as studies of
"knowledge utilization in policy," and others as "policy implementation in practice." The problem with each of
these formulations is that the relationships between research and its use are neither linear nor punctuated. Instead,
the relationships are diffuse and complex, characterized at least by "sustained interactivity" (e.g., Huberman,
1989) and often characterized by processes labeled ''knowledge creep" and ''decision accretion" (Weiss, 1980,
1987).
Furthermore, research does not provide answers to all the questions of practice (Weiss, 1998a). What counts
as knowledge when it comes to improving education is not merely the work product of those who identify
themselves as researchers or evaluators. Important kinds of knowledge also arise in the insights and experience of
policy analysts and policy makers and among teachers and administrators in schools. The use of knowledge
emerging from research, policy, or practice is heavily constrained by the interactions of the different professional
communities within the local context (McLaughlin, 1991b; McDonnell and Elmore, 1991).
One of the most important and consistent consensual findings in the knowledge-use literature is that the
stereotypical "knowledge use" situation that people expect when first thinking about knowledge contributions to
policy or practice is inaccurate. It is seldom the case that a specific social problem is solved by a decision to use
the results of a research study. Naive assumptions about using research to find "what works"
across the board are bound to bring disappointment (Weiss, 1998b). Commenting on the links between research
knowledge and policy, Weiss (1991:308) notes:
It probably takes an extraordinary concatenation of circumstances for research to influence policy decisions directly: a
well-defined decision situation, a set of policy actors who have responsibility and jurisdiction for making the
decision, an issue whose resolution depends at least to some extent on information, identification of the requisite
informational need, research that provides the information in terms that match the circumstances within which
choices will be made, research findings that are clear-cut, unambiguous, firmly supported, and powerful, that reach
decision makers at the time they are wrestling with the issues, that are comprehensible and understood, and that do
not run counter to strong political interests.
Knowledge use is more likely to be a process of "enlightenment" that is gradual, indirect, and interactive,
characterized by incremental changes that aggregate over time to become significant structural and substantive
changes (Kirst and Jung, 1991). If information passes the filters in a social institution and is incorporated into
practices or policy, the original "knowledge" becomes part of a broad system, informing views of what is or is not
important, contributing to an implicit framework for devising solutions, and adding to a propensity to implement
or customize different practices within the institution (cf. McLaughlin, 1991b). Given these complexities about
knowledge use in education (or other social systems), is there any reason to believe that research findings
discovered in one context are generalizable to other contexts? There is a school of thought that challenges the
whole idea on the grounds that all findings are conditional and contingent, valid only in the immediate context from
which they arose. This committee is more sanguine about the prospects of social science. There is enough
commonality across people, programs, and organizations to make a functioning social world. Generalization is a
reasonable—and necessary—pursuit (Weiss, 1998b). In this pursuit, we believe there are two distinct lines of
inquiry and one mode of operation that are strong candidates for a strategic education research and utilization
plan; they are outlined in the rest of this section.
Knowledge use is more likely to be a process of "enlightenment" that is gradual, indirect, and interactive
• What dissemination channels are most effective in reaching policy audiences of different types (e.g.,
legislators, bureaucrats, administrators, school boards)?
• What are the conditions under which policy makers seek research or are receptive to research findings?
The research to date suggests that it is during crises that policy makers look to research for help, when the
issues are new and people have not made commitments on way or another, or when issues have been
fought to a stalemate.
• If researchers knew better how to communicate with policy makers, would they be more receptive to
research? Are there intermediaries who could be effective in developing better communications with
education policy makers—e.g., think tanks, advisory commissions, consultants, the mass media? Under
what circumstances are advisory commissions effective?
• Teacher research: The prevailing assumption is that teachers find research too unconnected to the
classroom; but some teachers have undertaken research in their own classrooms.
—What conditions are necessary for teachers to undertake valid research: Collaborations with researchers?
More control over their own time? School or school system support?
—If teachers do their own research, do they trust it? Do they use it? Does it make a difference to their
practice?
—If research findings about how people learn and how learners can be motivated are incorporated into
teacher preparation, how much do the findings influence teachers' practice?
—Can positive effects be achieved with the existing teacher corps through in-service training?
—Does such training make teachers more receptive to other research?
• Research-based curricula:
—Can sophisticated research-based learning strategies such as the development of metacognitive skills be
integrated into curriculum materials in a way that produces positive outcomes for student learning?
—If teachers are provided with curricula that are based on solid research on learning and motivation, are
there observable effects on teaching practices and on student outcomes?
—What sorts of research-based curriculum materials are most effective in supporting teachers' acquisition of
new pedagogical ideas, new teaching methods?
• Is research that is the product of the collaborative efforts of researchers, practitioners, and policy makers
more salient to the needs of the user communities?
• Are the research results generated by such collaborative projects more likely to be used in practice? Are
teachers more open to the results? Are the results more effectively used?
• Do such collaborations help with the communication problem? Does the research get more effectively
packaged so that it will engage policy makers directly? Are the findings of such collaborations easier for
teachers to comprehend and integrate into their current thinking?
CODA
The Challenge of Schools and School Districts with Diverse and Disadvantaged Students
Students who live in high-poverty and culturally diverse areas experience conditions at home, at school, and
in the community that correlate with low academic achievement (U.S. Department of Education, 1996). The
conditions endemic in many urban areas—high concentrations of poverty, family instability, crime,
unemployment—complicate the process of education enormously. While test scores do not tell the whole story,
they paint a bleak picture of the experience of poor children. Once a school has more than 40 percent low-income
students, there are few programs that have a significant effect on achievement levels. Going to some schools risks
failure in something as crucial as learning to read (National Research Council, 1998). Unless there is major change
in the effectiveness of such schools, the situation can only become more critical. Demographic trends indicate that
the growth of the youth population over the next 30 years will be concentrated in these at-risk areas.
Is it possible to address the questions we have identified for the SERP in high-poverty and culturally diverse
contexts, given the intensity of the problems facing children, parents, and schools? The committee feels strongly
that this is the challenge that makes the large investment of talent, time, and resources that SERP would entail
worthwhile. The program should be consciously designed to address the challenges faced by educators and
students in such school systems. Successes will not only provide lessons that are appropriate for students in any
school, but will be the most compelling argument for the use of research in education.
3
Getting Answers: Designing a Strategic Research Program
Designing a strategic research program for education is a difficult task. Improving the contribution of
knowledge to education practices requires more than is encompassed in research-to-practice formulas as
traditionally conceived. The challenge is understanding how to make improvements, understanding when
knowledge can contribute to education. Moreover, the knowledge needed when it comes to improving social
systems like education is not only the product of those who identify themselves as researchers; important kinds of
knowledge also come from the halls of policy and from school teachers and administrators. Yet the kind of
collaborative creativity that is the key to solving most complex problems—including that of improving student
learning—is as difficult to effect among these separate professional cultures as it is essential (Pressman and
Wildavsky, 1973; McLaughlin, 1991b; McDonnell and Elmore, 1991).
This strategic plan envisions building a collaborative effort focused on a small set of very important problems
to improve the contribution of scientific knowledge to education. It will require participants with diverse expertise
and viewpoints to develop a workable common language and a shared agenda. A program of research that aims to
be strategic cannot apply the model of individual, field-initiated research projects that has characterized education
research in recent decades: it must be much more focused and coherent. At the same time, the directed, highly
specified approach to research that has been so effective in military research and development (R&D) and certain
other high-technology fields is not well suited to this task—the research effort must be more flexible, more able to
learn incrementally.
The National Institutes of Health (NIH) research program offers a more promising model: by drawing on the
two research traditions, it combines central program direction designed to advance public health with robust
field-initiated project development. In doing so, NIH has embraced an approach to research that has advanced
fundamental understanding of biomedical processes (e.g., the mechanisms that transform healthy cells into
malignant ones), while also being responsive to public calls for better medical treatments—the so-called war on
cancer (Stokes, 1997:137–138). But there are important aspects of medical research that reduce the salience of the
NIH model to education. Perhaps most striking is that there are no equivalents of pharmaceutical companies to
support education research. And an educational intervention is not like a drug or a serum: in education, even when
you have a promising intervention, it has to be incorporated into a highly complex social system.
Given the decentralized character of education and the diffuseness of the federal research effort, the problem
is how to get sustained attention over a decade or more by the best researchers to a program that is attuned to the
needs of the policy and practice communities. The committee considered a range of possible mechanisms, but
ultimately found the MacArthur networks of greatest interest. Envisioned as an "experiment in scientific
organization," the MacArthur Foundation's Program on Mental Health and Human Development has been in
existence for nearly two decades and has created 13 interdisciplinary networks (supported with long-term funding)
devoted to addressing key challenges in the fields of mental and physical development and health (Kahn, 1993;
Bevan, 1989; Prager and Kahn, 1994).1
At the core of the MacArthur model is the insight that complex social problems can only be effectively
addressed through interdisciplinary research. Yet both academic structures and incentive systems and federal
funding mechanisms militate against sustained investigations that transcend disciplinary boundaries. The networks
were devised as a way to promote effective collaboration across the biological, behavioral, and social sciences, to
encourage scientists from many disciplines to make common cause to understand complex social processes and to
translate that understanding into practical benefits (Kahn, 1993:iii).
Foundation funds are used primarily to facilitate communication and collaboration among the network
members (technology, meetings, etc.), as well as some collaborative research projects. The foundation does not
typically support projects being conducted by individual members of the teams, but it does fund some big network
projects. In the case of the Successful Midlife Development Network, for example, the foundation provided
funding for a major survey that has generated a wealth of data for all members of the network (and others) to
exploit.
The 13 MacArthur networks evolved over the years as the foundation learned from experience. Some were
more successful than others; some endured while others did not; some
1 In addition to published sources, the committee benefited from personal communications from people involved with the
MacArthur networks, including Orville Brim, Grace Costellazo, John Monahan, Dennis Prager, Ann Marie Palincsar, and Ruth
E. Runeborg.
became the springboard for rich interdisciplinary collaborations while the influence of others was transitory. A
great deal was learned about intellectual collaboration and about the elements of success. And there is evidence
that the networks have produced an array of innovative methods, significant data sets, and important findings.
Perhaps most important, network members describe the excitement and creativity unleashed by collaborations
across areas of expertise, which challenge the old assumptions and mental ploys that often hamper innovative
research.
The plan that follows is obviously deeply indebted to the MacArthur networks, but there are some differences
worth noting. The MacArthur networks had a strong basic research orientation, although the foundation was also
deeply concerned about applications. The SERP plan would reverse the emphasis. And in an important sense the
SERP idea is more ambitious—and risky—for it expands the goal of collaboration beyond scientific disciplines to
include the expertise of policy and practice. If successful interdisciplinary collaboration requires researchers to
adapt to one another's professional culture, intellectual traditions, and analytical methods—and the MacArthur
experience shows that this is not easy, then how much more challenging it will be to create successful
collaborations of scientists, practitioners, and policy makers. It is, nevertheless, essential if the potential of
education research to improve practice is to be realized.
A final point for consideration has to do with the balance of research support. The MacArthur program was a
high-leverage design that assumed that network members would have other sources of support for their individual
research. SERP would not be able to depend on all network members, for example, practitioners, having
independent support for their time spent on SERP activities. Nevertheless, SERP is designed to leverage existing
investments in research. It would aim, for example, to draw in the technology centers of the National Science
Foundation (NSF) and the regional laboratories and R&D centers of the Office of Education Research and
Improvement (OERI) of the U.S. Department of Education as partners in advancing the work of the SERP
networks.
• The Learning and Instruction Network addresses the question: How can advances in research on
human cognition, development, and learning be incorporated into educational practice?
• The Student Motivation Network addresses the question: How can student engagement in the learning
process and motivation to achieve in school be increased?
• The Transforming Schools Network addresses the question: How can schools and school districts be
transformed into organizations that have the capacity to continuously improve their practices?
• The Utilization Network addresses the question: How can the use of research be increased in school and
school districts?
The committee accorded a special status to the utilization network. While all of the networks will be
committed to promoting and studying the use of research findings relevant to the hub questions, this network will
try to develop general principles for theory and practical guidance on how to remove barriers and facilitate the use
of research knowledge in education practice. It will work closely with one or more of the other three networks on
particular projects, using them as cases for learning and experimentation. Also important is for all four networks to
confront the questions and serious problems that arise in attempting to implement research's best ideas in schools
serving poor or underachieving students. If SERP can figure out how to substantially improve student learning in
schools with the most problems, it will be the key to getting every teacher, school, and school district interested in
using research.
Core Components
Each network would have a director who devotes half time to the network. The director should be chosen on
the basis of ability to address the network's hub question and skill at leading a team with members from diverse
backgrounds. The commitment and leadership of the directors will probably be the single most important factor in
making SERP work. The core membership in the networks would range from 7 to 15 people from different
institutions and from different disciplines and professions. It is essential that the network members be creative,
committed, and productive people, open to the possibilities of collaborative work and ready, as Kahn (1993:19)
put it, to ''make a sustained effort to link their work and their ideas to those of others.''
At the outset of SERP, each network director would work with a governing board of the whole to develop a
general 12-year plan. The keystone of each network plan would be a synthesis of the state of knowledge and the
extent of knowledge utilization within its domain.
The MacArthur experience suggests that the members of each network would need to meet as a group at least
four times a year. The network as a whole would work together to design and evaluate projects that advance the
network objectives, solving problems and maximizing the chances for impact on the network's hub questions.
Between network meetings, the members would communicate regularly by telephone and computer
communications and work as needed in subgroups with task forces on specific projects.
practice, and policy relevant to the network's hub question. A basic version would be developed during the start-up
period for the network. A part of each network meeting and each network activity would be spent revising that
synthesis through the incorporation of new developments from the network's activities, the interlocking networks
of SERP, and the field at large.
An essential design element of SERP is that it is cumulative in nature—that new work takes advantage of and
builds on earlier findings. The ongoing synthesis represents a concrete expression of that cumulation of
understanding. The syntheses will identify and analyze:
• Strengths of the research base: What is known? With what level of confidence?
• Gaps in knowledge: Cases of problems that have been well documented (by practitioners, policy makers,
or researchers) for which the existing knowledge base provides few workable solutions.
• Unused and underused knowledge: Cases where there is authoritative professional consensus on research
findings or best practices, but applications have not yet been developed or are not as widespread as they
should be.
• Incipient knowledge in the field: Cases where there is progress toward consensus on research findings or
best practices, but further development and research are needed before applications can be confidently
promoted.
• Productive conflicts in the field: Cases where the development of data, instruments, or theory would
resolve conflicting claims and permit research and development to proceed.
• Barriers to and facilitators of utilization: The social, institutional, and individual factors that can work
either as barriers or facilitators of the use of research findings. Each network will track specific cases
concerning its hub question but will also plan joint work with the utilization network to identify and
address potential barriers or facilitators.
• Priorities for the network: On the basis of the analysis described in the first five parts of the synthesis,
agreement on the areas of greatest need and greatest opportunity for making progress on the hub
question. Planned objectives for the network will be stated.
Each year's synthesis is a crucial step in the strategic planning process, but is not an end in itself. Based on
this synthesis, each network plan would identify the areas of greatest need and greatest scientific opportunity and
develop activities (both research and implementation) that have the greatest potential for making progress on the
hub question. Planned objectives could be organized in a nested set with very specific yearly objectives for the
first 4-year phase and more general ones for later phases.
Network Activities
Each network would undertake to meet the objectives identified in its strategic plan. Working within and
across networks, the members would carry out a variety of activities.
Furthering Research
Each network will carry out research activities in its domain, consistent with the mission of SERP. This work
might be done solely by network members or, more likely, by task forces headed by at least two members of a
network with others from outside of network. The quality of the design and the results would be the responsibility
of the sponsoring network. Undertakings might include, for example, reanalyzing existing data sets to shape a new
hypothesis; replicating or expanding an effective but limited study; or conducting a study that tests a hypothesis
under different conditions. Ideally, SERP would offer the opportunity and funding for centralized large-scale data
collections. All network research would be expected to look beyond the traditional disciplinary boundaries and to
take advantage of the full array of research fields, findings, and methods relevant to each hub question. Network
research would also be expected to be informed by the needs and perspectives of the users and to meet accepted
standards of excellence.
Strengthening Practice
Task forces convened by networks could carry out activities aimed at enhancing instructional prac
tice in K-12, consistent with the SERP mission. These might include, for example, running brief pilot studies to
gauge the viability of a proposed multiyear project; coordinating with developers and practitioners to develop or
evaluate promising materials; or sponsoring a design competition to produce several good solutions for well-
defined problems in schools. All network activities and products will be expected to meet rigorous standards of
excellence within the disciplines and professions.
• workshops cosponsored by professional associations (e.g., American Federation of Teachers, the National
Education Association, the International Reading Association, the National Association of Elementary
School Principals, the Council of Chief State School Officers, the National Governor's Association);
• summer institutes cosponsored with universities and state departments of education;
• preprofessional courses offered through teacher education institutions;
• professional development sequences cosponsored with local school districts and state departments of
education;
• mid-career fellowships to expand the capabilities of researchers, practitioners, and policy makers by
immersion in the activities of the networks;
• data banks useful for researchers, practitioners, and policy makers who want to address questions about
cognitive development, learning, motivation, etc.; and
• instruments to measure learning that would be sensitive to changes in student performance and causally
related to changes in instructional situations.
These collaborations will unleash creativity and an excitement that could spread far beyond SERP
help weave together the programs of many different sponsoring agencies. The interdisciplinary character of the
network activities promises to produce innovative approaches, new ways of looking at education and learning that
can be incorporated by others and, if the MacArthur experience holds true, these collaborations will unleash
creativity and an excitement that could spread far beyond SERP.
If it is not intended to replace other education research and reform programs, a successful SERP could
nonetheless have a profound influence on research and practice. Its focus on four questions studied in national
networks over 15 years would affect the organization of knowledge in education. This has implications for such
things as graduate training, academic publishing, the allocation of new faculty positions. Furthermore, by building
better bridges between the practitioner and research communities, SERP could illuminate the most productive
avenues for investments in use-inspired research, and thus affect the research priorities of funding organizations.
GOVERNANCE
We make no attempt in this document to say where the governance of the Strategic Education Research
Program should reside, or even to say whether it should be public or private or some combination of the two; there
are too many potential participants and possible locations for that to be sensible at this stage. But it is an issue of
tremendous importance to the success of SERP. Could government provide leadership for a long-term, strategic
research program? Would an agency like the Department of Education's Office of Educational Research and
Improvement, which would seem a logical place to lodge such a program, have the political continuity or indeed
the authority to enter into the kinds of agreements needed to sustain a 15-year effort? Would some sort of
interagency partnership be feasible? Would a federal-state partnership offer advantages? Do the federal
procurement regulations afford the flexibility needed to empower the thoughtful research managers so vital to the
success of SERP? Would a consortium of foundations be a more likely alternative? Would leading foundations be
willing to give up some of their autonomy to join forces in a strategic
program. What are the serious bottlenecks likely to exist in the relevant public and private institutions, and can
they be overcome? Could a public-private partnership be constructed that would enable the sponsoring institutions
to make the most of the SERP idea.
All of these are questions for another day. Nevertheless, there must be a host organization, and we have given
thought to the characteristics that it will need to embody.
Host Organization
In order to assure continuity, focus, coordination, mutual reinforcement, and quality control, SERP will need
to be carried out under the auspices of a host organization. The host will need to be nationwide in scope, to have
the capacity and experience to work over time with multidisciplinary groups, and to influence the dispersed world
of education. Also, it will need to be prepared to make the connections between research, policy, and practice. The
host organization will need to have the status, structure, and longevity needed to initiate SERP and to administer,
monitor, and maintain it for a sustained period; it must also be able to provide the corporate structure needed for
legal, fiscal, human resource, development, and public interface functions.
The nature of the host organization will have implications for the location of the networks and their relation to
the host. It might be in a position to manage the networks in-house, or it could make sense to place their
management in other institutions, for example, the director's university, or a research organization, or an entity like
the OERI centers. The entire question of governance requires more thought and discussion by the interested
parties, with particular attention to arrangements that will promote the coherence of the overall program and its
ability to build cumulatively on the ongoing work.
The entire question of governance requires more thought and discussion by the interested parties
encies, stakeholders, and decision makers in education. We believe the governing board would need to have at
least 16 members, drawn in roughly equal proportion from four categories:
• policy makers—from local, state, and federal governments, and from nongovernment organizations
(businesses, professional organizations) that support improvement in education;
• practitioners—teachers, school-level administrators, and district-level staff;
• researchers—whose work is relevant the hub questions; and
• fundraisers—leaders in foundation, business, government, and other spheres who would shape the
campaign to generate financial support for SERP.
Policy Activities
The Governing Board would set overall policy for the Strategic Education Research Program. Among its
policy activities, the board would:
stantive written and financial report and a plan for the following year's activity. Each network would also
contribute to the board's 4-year reviews of SERP as a whole; these reports will be the building blocks for a
quadrennial SERP congress.
In defining the relationship between the networks and the host organization, a careful balance needs to be
struck between flexibility and coherence. The governing board and its staff would need to promote coherence and
integration of the network activities so that together they advance the SERP mission.
SERP Congress
The governing board would convene a national congress every 4 years, inviting the various stakeholders in
education to participate. Each of the four SERP networks would present an updated report on the state of the art
and conditions of knowledge use related to its hub question. Formal comment and discussion of these reports
would be prepared by other network directors, board members, and key scholars outside of the networks.
Following critical discussion at the congress, the board would prepare a response to the proceedings, charting new
plans as needed for the subsequent periods of SERP's operation.
The quadrennial congresses would be a useful device for focusing attention on the most promising advances
in research and development. The board might issue a series of reports addressed to diverse audiences for SERP
—practitioners, policy makers, and researchers—ensuring, in particular, that policy makers and practitioners have
the concrete detail and motivation to carry out changes that can improve student learning.
Development Activities
A central undertaking of the governing board would be to generate the financial support and political will to
carry out the Strategic Education Research Program. Both the size and the nature of SERP make it desirable to
build a coalition of funders, spread among the parties who have a stake in the fulfillment of its mission. The
federal government has long supported education research and would be an important member of the coalition.
There are also a number of foundations, old and new, that have a strong interest in education and numerous
business organizations concerned about the quality of tomorrow's workforce.
The states have, by and large, not had a strong tradition of funding education research. A high priority of the
SERP governing board should be to involve each of the 50 states and the District of Columbia so that state and
local policy makers and practitioners would be customers and shareholders in the program. This would, over time,
cement a circle of supply and demand with respect to getting good research used in education.
Time Frame
The success of a Strategic Education Research Program is predicated on the willingness of political leaders
and the public to make a long-term commitment to it. The committee strongly recommends that, if the program is
implemented, it be done with the expectation that SERP will continue for at least 15 years—2 preparatory years,
12 years of operation for four networks, and a final year devoted to completing projects and ensuring that the
impetus continues for using the best knowledge in education practice. (See timeline on page 65.) Research
initiatives in education have tended to be so abbreviated that the planned time frame may seem long, but it is
important to keep in mind that it is less than the time that it takes for one cohort of children to graduate from high
school.
During the 12 years that the networks would operate, reviews would take place at 4-year intervals. The host
organization and the SERP board would take advantage of the periodic reviews to make informed decisions about
continuing or correcting the course of each network. These reviews would ensure accountability and allow plans
for the next period to be refined.
NEXT STEPS
In the preface to this report, National Academy of Sciences' President Bruce Alberts conveys his enthusiasm
about the potential of the SERP idea and his hope that it will catalyze major new investments in educational
research—both by federal and state governments and by foundations. As a first step in that direction, the National
Academies propose to launch a year-
long national dialogue during which the idea for a Strategic Education Research Program is discussed with all the
professional groups concerned with education. The feasibility of the plan needs to be widely discussed. The
general design features suggested in this report need to be forged into workable specifications for a large-scale,
long-term research and development program. Above all, a year of dialogue is needed to see if this plan can
generate the kind of political will and financial commitment that will be needed for its operation.
We call upon the federal government, and in particular the Department of Education and the National Science
Foundation, major foundations whose mission includes improving education, state and local education leaders, and
education research organizations to join in this year of dialogue to see if, together, we can transform the SERP idea
into a productive collaboration to use the power of science to improve education in the United States.
Years 7–10 Networks Continue Building Their R&D Programs, Capacity-Building Activities, Links to Other Research
and Reform Programs
• Networks continue publication of annual synthesis documents
• Networks refine and elaborate strategic plan
Year 10 Board Holds Second SERP Congress, Publishes Proceedings and Targeted Reports
• Board makes decisions about continuation, redirection of networks
Years 11–14 Networks Continue Their R&D, Leveraging, and Capacity-Building Activities
Year 14 Board Holds Third SERP Congress
Year 15 SERP Winds Down and Hands Off to Successor Organizations or Activities
References
Anderson, J.R., L.M. Reder, and H.A. Simon 1996. Situated learning and education. Educational Researcher 25:4(May)5–11.
Alexander, K.L., and D.R. Entwisle 1988. Achievement in the First 2 Years of School: Patterns and Processes . Monographs of the Society for
Research in Child Development 53(2).
Argyris, C., and D.A. Schon 1996. Organizational Learning. Reading, MA: Addison-Wesley Pub. Co.
Astone, N.M., and S. McLanahan 1991. Family structure, parental practices and high school completion. American Sociology Review 56:309–
20.
Baker, L., R. Serpell, and S. Sonnenschein 1995. Opportunities for literacy learning in the homes of urban preschoolers. Pp. 236–252 in Family
Literacy: Connections in Schools and Communities , L.M. Morrow, ed. Newark, DE: International Reading Association.
Baker, L., and A. Wigfield in press. Dimensions of children's motivation for reading and their relations to reading activity and reading
achievement. Reading Research Quarterly.
Ball, D.L. 1997. Developing mathematics reform: What don't we know about teacher learning—but would make good working hypotheses?
Pp. 77–111 in Reflecting on Our Work: NSF Teacher Enhancement in K-6 Mathematics, S. Friel and G. Bright, eds. Lanham, MD:
University Press of America.
Bevan, W. 1989. Beyond the Territorial Solution: On Collaborative Methodology in Scientific Research. Chicago, IL: The John D. and
Catherine T. MacArthur Foundation.
Brice-Heath, S. 1981. Toward an ethnohistory of writing in American education. Pp. 25–45 in Writing: The Nature, Development and
Teaching of Written Communication (Vol. 1), M.F. Whiteman, ed. Hillsdale, NJ: Erlbaum.
1983. Ways with Words: Language, Life and Work in Communities and Classrooms. Cambridge, UK: Cambridge University Press.
Bronfenbrenner, U., and P.A. Morris 1998. The Ecology of developmental processes. Pp. 993–1028 in Handbook of Child Psychology, Fifth
Ed. Volume 1: Theoretical Models of Human Development, W. Damon, and R. M. Learner, eds. New York: Wiley.
Brophy, J.E., and T.L. Good 1974. Teacher-Student Relationships: Causes and Consequences. New York: Holt, Rinehart and Winston, Inc.
Brown, A.L., and J.C. Campione 1994. Guided discovery in a community of learners. Pp. 229–270 in Classroom Lessons: Integrating
Cognitive Theory and Classroom Practice , K. McGilly, ed. Cambridge, MA: MIT Press.
1996. Psychological theory and the design of innovative learning environments: On procedures, principles, and systems. Pp. 289–325 in
Innovations in Learning: New Environments for Education, L. Schauble and R. Glaser, eds. Mahwah, NJ: Lawrence Erlbaum
Associates.
Brown, J.S., and P. Duguid 1996. Universities in a digital age. Change 28(4):10–19.
Brown, J.S., A. Collins, and P. Duguid 1989. Situated cognition and the culture of learning. Educational Researcher 18:32–42.
Bruner, J. 1990. Acts of Meaning. Cambridge, MA: Harvard University Press
1996. The Culture of Education. Cambridge, MA: Harvard University Press.
Cairns, R.B., B. Cairns, and H. J. Neckerman 1989. Early school dropout: Configurations and determinants. Child Development 60(6):1437–
1452.
Carey, S. 1996. Science Education as Conceptual Change. Paper prepared for the Committee on Developments in the Science of Learning for
the Sciences of Science Learning: An Interdisciplinary Discussion. Department of Psychology, New York University.
Carnegie Task Force on Learning in the Primary Grades 1996. Years of Promise: A Comprehensive Learning Strategy for America's Children.
New York: Carnegie Corporation of New York.
Cazden, C.B. 1998. Classroom Discourse. Portsmouth, NH: Heinemann.
Chapman, O. 1996. Learning science involves language, experience, and modeling. Paper prepared for the Committee on Developments in the
Science of Learning for the Sciences of Science Learning: An Interdisciplinary Discussion. Department of Chemistry, University of
California at Los Angeles.
Cognition and Technology Group at Vanderbilt 1997. The Jasper Project: Lessons in Curriculum, Instruction, Assessment, and Professional
Development. Mahwah, NJ: Erlbaum.
1998. Designing environments to reveal, support, and expand our children's potentials. Pp. 313–350 in Perspectives on Fundamental
Processes in Intellectual Functioning. Vol. 1. S.A. Soraci and W. McIlvane, eds. Greenwich, CT: Ablex.
Cole, M. 1996. Cultural Psychology: A Once and Future Discipline. Cambridge, MA: Harvard University Press.
Consortium for Policy Research in Education 1996. Public Policy and School Reform: A Research Summary. CPRE Research Report Series,
Report #36. Philadelphia, PA: University of Pennsylvania and Consortium for Policy Research in Education.
Cousins, J.B., and M. Simon 1995. The nature and impact of policy-induced partnerships between research and practice communities.
Educational Evaluation and Policy Analysis 18(3):199–218.
Cross, C.T. 1989. Report on the Laboratory Review Panel on the Pending Laboratory Recompetition. Silver Spring, MD: Macro Systems, Inc.
D'Andrade, R.G. 1995. The Development of Cognitive Anthropology. Cambridge and New York: Cambridge University Press.
Dawson, G., and K.W. Fischer 1994. Human Behavior and the Developing Brain. New York: Guilford Press.
DeBaryshe, B.D. 1995. Maternal belief systems: Linchpin in the home reading process. Journal of Applied Developmental Psychology 16
(1):1–20.
Deming, W.E. 1986. Out of the Crisis. Cambridge, MA: MIT Center for Advanced Engineering Study.
Dweck, C.S., and E.S. Elliott 1983. Achievement motivation. Pp. 643–691 in Handbook of Child Psychology, Vol. 4. Socialization, Personality
and Social Development, E.M. Hetherington, ed. New York: John Wiley.
Education Week 1998. The urban challenge. Education Week 17(17):6.
Egan, K. 1997. The Educated Mind: How Cognitive Tools Shape Our Understanding . Chicago, IL: University of Chicago Press.
Elliott, E.S., and C.S. Dweck 1988. Goals: An approach to motivation and achievement. Journal of Personality and Social Psychology 54:5–
12.
Elmore, R.F. 1996. Getting to scale with successful education practices. Pp. 294–329 in Rewards and Reform: Creating Educational Incentives
That Work, S.H. Fuhrman and J.A. O'Day, eds. San Francisco, CA: Jossey-Bass Publishers.
Elmore, R.F., and D. Burney 1997. Investing in Teacher Learning: Staff Development and Instructional Improvement in Community School
District #2, New York City. CPRE/NCTAF Joint Report. New York: National Commission on Teaching and America's Future and
Consortium for Policy Research in Education.
Ensminger, M.E., and A.L. Slusarcick 1992. Paths to high school graduation or dropout: A longitudinal study of a first-grade cohort. Sociology
of Education 65(2):95–113.
Entwisle, D.R., and K.L. Alexander 1989. Early schooling as a "critical period" phenomenon. Pp. 27–55 in Sociology of Education and
Socialization. Vol. 8. K. Namboodiri and R.G. Corwin, eds. Greenwich, CT: JAI.
1993. Entry into school: The beginning school transition and educational stratification in the United States. Annual Review of Sociology
19:404–406.
Entwisle, D.R., and L.A. Hayduk 1982. Early Schooling: Cognitive and Affective Outcomes. Baltimore, MD: Johns Hopkins University Press.
Ericsson, K.A., and N. Charness 1994. Expert performance: Its structure and acquisition. American Psychologist 49:725–745.
Felner, R.D., D. Kasak, P. Mulhall, and N. Flowers 1997. The project on high performance learning communities: Applying the land-grant
model to school reform. Phi Delta Kappan March:520–527.
Finn, J.D. 1989. Withdrawing from school. Review of Educational Research 59(2)117–142.
Fleming, D.S. 1988. The Literature on Teacher Utilization of Research: Implications for the School Reform Movement. Andover, MA: The
Regional Laboratory for Educational Improvement of the Northeast and Islands.
Geertz, C. 1997. Learning with Bruner. The New York Review of Books April 10.
Ginsburg, H.P. 1997. Entering the Child's Mind: The Clinical Interview in Psychological Research and Practice. New York: Cambridge
University Press.
Goodlad, J.I. 1984. A Place Called School. New York: McGraw-Hill.
Greeno, J. 1991. Number sense as situated knowing in a conceptual domain. Journal for Research in Mathematics Education 22(3):170–218.
Greenough, W.T., J.E. Black, and C. Wallace 1987. Experience and brain development. Child Development 58:539–559.
Heath, S. 1983. Ways with Words: Language, Life, and Work in Communities and Classrooms. Cambridge, England: Cambridge University
Press.
Heber, M. 1981. Instruction versus conversation as opportunities for learning. In Communications in Development, W.P. Robinson, ed.
London: Academic Press.
Henderson, V.L., and C.S. Dweck 1990. Motivation and achievement. Pp. 308–329 in Adolescence: At the Threshold, S. Feldman and G.
Felder, eds. Cambridge, MA: Harvard University Press.
Howard, J., and R. Hammond 1985. Rumors of inferiority. New Republic September 9:18–23.
Huberman, M. 1989. Predicting conceptual effects in research utilization: Looking with both eyes. Knowledge in Society 2(3):6–24.
Hutchins, E. 1995. Cognition in the Wild. Cambridge, MA: MIT Press.
Kahn, R.L. 1993. An Experiment in Scientific Organization. Chicago, IL: The John D. and Catherine T. MacArthur Foundation.
Kaplan, J.L., and E.C. Luck 1977. The dropout phenomenon as a social problem. Educational Forum 42(1):41–56.
Kerman, S. 1979. Teacher expectations and student achievement. Phi Delta Kappan 60(10):716–718.
Kirst, M., and R. Jung 1991. The utility of a longitudinal approach in assessing implementation: A thirteen-year view of Title I, ESEA. Pp.
39–64 in Education Policy Implementation, A.R. Odden, ed. SUNY Series in Educational Leadership. Albany, NY: State University
of New York Press.
Klahr, D., and S.M. Carver 1988. Cognitive objectives in a LOGO debugging curriculum: Instruction, learning, and transfer. Cognitive
Psychology 20:362–404.
Kochan, T.A., and M. useem, eds. 1992. Transforming Organizations. New York: Oxford University Press.
Larkin, J.H. 1983. The role of problem representation in physics. Pp. 75–98 in Mental Models, D. Gentner and A.L. Stevens, eds. Hillsdale,
NJ: Erlbaum.
Lave, J. 1988a. The Culture of Acquisition and the Practice of Understanding. Report No. IRL 880-0007. Palo Alto, CA: Institute of Research
on Learning.
1988b. Cognition in Practice. Cambridge, England: Cambridge University Press.
Lave, J., and E. Wenger 1991. Situated Learning. Cambridge, England: Cambridge University Press.
Lee, V.E., and J.B. Smith 1994. High school restructuring and student achievement: A new study finds strong links. Issues in Restructuring
Schools, No. 7. Madison, WI: Center on Organization and Restructuring of Schools, Wisconsin Center for Educational Research,
University of Wisconsin.
1995. Effects of high school restructuring and size on gains in the achievement and engagement for early secondary students. Sociology of
Education 68(4):241–270.
Lee, V.E., J.B. Smith, and R.G. Croninger 1995. Another look at high school restructuring. In Issues in Restructuring Schools, No. 9.
Madison, WI: Center on Organization and Restructuring of Schools, Wisconsin Center for Educational Research, University of
Wisconsin.
Lloyd, D.N. 1978. Prediction of school failure from third-grade data. Educational and Psychological Measurement 38:1193–1200.
Louis, K.S., S.D. Kruse, and A.S. Bryk 1995a. Professionalism and community: What is it and why is it important in urban schools? In
Professionalism and Community: Perspectives on Reforming Urban Schools. K.S. Louis, D. Kruse, and Associates, eds. Thousand
Oaks, CA: Corwin Press, Inc.
1995b. An emerging framework for analyzing school-based professional community. In Professionalism and Community: Perspectives on
Reforming Urban Schools. K.S. Louis, D. Kruse, and Associates, eds. Thousand Oaks, CA: Corwin Press, Inc.
Malen, B., R. Ogawa, and J. Kranz 1990. What do we know about school based management? In Choice and Control in American Education,
Vol. 2, W.H. Clune and J. F. White, eds. New York: Falmer.
March, J.G., and H.A. Simon 1958. Organizations. New York: Wiley.
McDonnell, L.M., and R.F. Elmore 1991. Getting the job done: Alternative policy instruments. Pp. 157–185 in Education Policy
Implementation, A.R. Odden, ed. SUNY Series in Educational Leadership. Albany, NY: State University of New York Press.
McLaughlin, M.W. 1991a. Learning from experience: Lessons from policy implementation. Pp. 185–195 in Education Policy Implementation,
A.R. Odden, ed. Albany, NY: State University of New York Press.
1991b. The Rand agent study: Ten years later. Pp. 143–155 in Education Policy Implementation, A.R. Odden, ed. Albany, NY: State
University of New York Press.
Mervis, J. 1998. Mixed grades for NSF's Bold Reform of Statewide Education. Science 282(Dec. 4):1800–1805.
Mestre, J.P. 1994. Cognitive aspects of learning and teaching science. Pp. 3-1 to 3–53 in Teacher Enhancement for Elementary and Secondary
Science and Mathematics: Status, Issues, and Problems, S.J. Fitzsimmons and L.C. Kerpelman, eds. NSF 94-80. Arlington, VA:
National Science Foundation.
Murphy, J., P. Hallinger, and R. Mesa 1985. School effectiveness: Checking progress and assumptions, and developing a role for state and
federal government. Teachers College Record 86 (4 Summer 1995):615–641.
National Association of Secondary School Principals 1996. The Mood of American Youth. Reston, VA: National Association of Secondary
School Principals.
National Research Council 1992. Research and Education Reform: Roles for the Office of Educational Research and Improvement, R.C.
Atkinson and G.B. Jackson, eds. Committee on the Federal Role in Education Research, Commission on Behavioral and Social
Sciences and Education, National Research Council. Washington, DC: National Academy Press.
1998. Preventing Reading Difficulties in Young Children, C.E. Snow, M.S. Burns, and P. Griffin, eds. Committee on the Prevention of
Reading Difficulties in Young Children, Commission on Behavioral and Social Sciences and Education, National Research Council.
1999a. How People Learn: Brain, Mind, Experience, and School, J. Bransford, A. Brown, and R. Cocking, eds. Committee on Developments
in the Science of Learning, Commission on Behavioral and Social Sciences and Education, National Research Council. Washington,
DC: National Academy Press.
1999b. How People Learn: Bridging Research and Practice, S. Donovan, J. Bransford, and J. Pellegrino, eds. Committee on Learning
Research and Educational Practice, Commission on Behavioral and Social Sciences and Education, National Research Council.
Washington, D.C.: National Academy Press.
Nardi, B., ed. 1996. Context and Consciousness: Activity Theory and Human-Computer Interactions. Cambridge, MA: MIT Press.
Natriello, G. 1987. The impact of evaluation processes on students. Educational Psychologist 22:155–175.
Newburg, N. 1991. Bridging the gap: An organizational inquiry into an urban school district. In The Reflective Turn: Case Studies in and on
Educational Practice, D.A. Schoen, ed. New York: Teachers College Press.
Newmann, F.M., and Associates 1996. Authentic Achievement: Restructuring Schools for Intellectual Quality. San Francisco, CA: Jossey-Bass
Publishers.
Newmann, F. M., and G. Wehlage 1995. Successful School Restructuring: A Report to the Public and Educators by the Center on Organization
and Restructuring of Schools . Madison, WI: The Center on Organization and Restructuring of Schools.
Oakes, J. 1990. Multiplying Inequalities: The Effects of Race, Social Class and Tracking Opportunities to Learn Mathematics and Science.
Santa Monica, CA: The RAND Corporation.
1995. Tracking, Diversity, and Educational Equity: What's New in the Research? Report prepared for the Common Destiny Alliance
Consensus Panel Meeting, August. RAND, Santa Monica, CA.
O'Day, J.A., and M. S. Smith 1993. Systemic reform and educational opportunity. Pp. 250–312 in Designing Coherent Education Policy:
Improving the System, Susan H. Fuhrman, ed. San Francisco, CA: Jossey-Bass Publishers.
Pea, R.D. 1993. Distributed multimedia learning environments: The Collaborative Visualization Project. Communications of the ACM 36
(5):60–63.
Prager, D., and R.L. Kahn 1994. Interdisciplinary collaborations are a scientific and social imperative. The Scientist (July 11):12.
President's Committee of Advisors on Science and Technology 1997. The Use of Technology to Strengthen K-12 Education in the United
States. Washington, DC: President's Committee of Advisors on Science and Technology.
Pressman J., and A. Wildavsky 1973. Implementation. Berkeley, CA: University of California Press.
Public Agenda 1997. Getting By: What American Teenagers Really Think About Their Schools. New York: Public Agenda.
Putnam, R.T., and H. Borko 1997. Teacher learning: Implications of new views of cognition. Pp. 1223–1296 in The International Handbook of
Teachers and Teaching, Vol. 2, B.J. Biddle, TL. Good, and I.F. goodson, eds. Dordrecht, The Netherlands: Kluwer.
Redish, E.F. 1996. Discipline-Specific Science Education and Educational Research: The Case of Physics. Paper prepared for the Committee
on Developments in the Science of Learning for the Sciences of Science Learning: An Interdisciplinary Discussion. Department of
Physics and Astronomy, University of Maryland.
Resnick, L. 1987a. Education and Learning to Think. Commission on Behavioral and
Social Sciences and Education, National Research Council. Washington, DC: National Academy Press.
1987b. Learning in school and out. Educational Research 16:13–20.
Resnick, L.B., and L.E. Kloper 1989. Toward the thinking curriculum: Current cognitive research. Yearbook of the Association for Supervision
and Curriculum Development . Alexandria, VA: Association for Supervision and Curriculum Development.
Resnick, L.B., J.M. Levine, and S.D. Teasley, eds. 1991. Perspectives on Socially Shared Cognition. Washington, DC: American
Psychological Association.
Resnick, L.B., A.J. Alvarado, and R.F. Elmore 1996. Developing and Implementing High Performance Learning Communities. Proposal for
research prepared by the Learning Research and Development Center, University of Pittsburgh (Solitiation No. RC-96-1370).
Rohlen, T. 1983. Japan's High Schools. Berkeley, CA: University of California Press.
Rogoff, B. 1986. Adult assistance in children's learning. Pp. 27–40 in The Contexts of School-Based Literacy, T.E. Raphael, ed. New York:
Random House.
1990. Apprenticeship in Thinking: Cognitive Development in Social Context. New York: Oxford University Press.
Rogoff, B., and J.V. Wertsch, eds. 1984. Children's Learning in the "Zone of Proximal Development." San Francisco: Jossey-Bass.
Schauble, L. 1996. The Development of Model-Based Reasoning in Elementary School Students. Paper prepared for the Committee on
Developments in the Science of Learning for the Sciences of Science Learning: An Interdisciplinary Discussion. Wisconsin Center
for Education Research, University of Wisconsin, Madison.
Shepherd, L.A., and M.L. Smith, eds. 1989. Flunking Grades: Research and Policies on Retention. New York: Felner.
Shore, B. 1996. Culture in Mind: Cognition, Culture, and the Problem of Meaning . Oxford and New York: Oxford University Press.
Shore, R. 1997. Rethinking the Brain: New Insights into Early Development. New York: Families and Work Institute.
Simon, H.A. 1996. Observations on the Sciences of Science Learning. Remarks delivered at meeting of the Committee on Developments in the
Science of Learning for the Sciences of Science Learning: An Interdisciplinary Discussion, September 6, Washington, DC.
Department of Psychology, Carnegie Mellon University.
Sirotnik, K. 1983. What you see is what you get: Consistency, persistence, and mediocrity in classrooms. Harvard Educational
Review:53:16–31.
Sizer, T. 1992. Horace's Compromise: The Dilemma of the American High School . 3rd ed. Boston: Houghton Mifflin.
Slavin, R.E. 1980. Effects of individual learning expectations on student achievement. Journal of Educational Psychology 72(4):520–24.
1995. A model of effective instruction. The Educational Forum 59(Winter): 166–176.
Smith, M.S., and J. O'Day 1991. Systemic school reform. In The Politics of Curriculum and Testing , S. Furhman and B. Malen, eds. Bristol,
PA: Falmer Press.
Spiegel, D.L. 1994. A portrait of parents of successful readers. Fostering the Love of Reading: The Affective Domain in Reading Education.
Newark, DE: International Reading Association.
Steele, C.M. 1992. Race and the schooling of black Americans. Atlantic Monthly 262(4):68–78.
1997. A threat in the air: How stereotypes shape the intellectual identities and performance of women and African Americans. American
Psychologist 52:613–629.
Steele, C.M., and J. Aronson 1995. Stereotype threat and the intellectual test performance of African-Americans. Journal of Personality and
Social Psychology 69:797–811.
Stevenson, H.W., and J.W. Stigler 1992. The Learning Gap: Why Our Schools Are Failing and What We Can Learn from Japanese and
Chinese Education. New York: Simon and Schuster.
Stigler, J., R. Shweder, and G. Herdt, eds. 1989. Cultural Psychology: The Chicago Symposia on Culture and Development . New York:
Cambridge University Press.
Stipek, D.J. 1993. Motivation to Learn: From Theory to Practice. Boston, MA: Allyn and Bacon.
Stokes, D.E. 1997. Pasteur's Quadrant: Basic Science and Technological Innovation . Washington, DC: Brookings Institution Press.
Strauss, C., and N. Quinn 1997. A Cognitive Theory of Cultural Meaning. Cambridge and New York: Cambridge University Press.
Stroup, A.L., and L.N. Robins 1972. Elementary school predictors of high school dropouts among black males. Sociology of Education 45
(2):212–212.
Suchman, L. 1987. Plans and Situated Actions: The Problem of Human-Machine Communication . Cambridge and New York: Cambridge
University Press.
Tobin, J.J., D. Wu, and D. Davidson 1989. Preschool in Three Cultures: China, Japan and the United States . New Haven: Yale University
Press.
Treisman, P.U. 1996. Enabling Broader Access to Algebraic Understanding. Paper prepared for the Committee on Developments in the
Science of Learning for the Sciences of Science Learning: An Interdisciplinary Discussion. Dana Center for Mathematics and Science
Education, University of Texas.
Turnbull, B.J., H. McCollum, M.B. Haslam, and K. Colopy 1994. Regional Educational Laboratories: Some Key Accomplishments and
Limitations in the Program's Work. Washington, DC: Policy Studies Associates.
Tyack, D., and L. Cuban 1995. Tinkering Toward Utopia: A Century of Public School Reform. Cambridge, MA: harvard University Press.
U.S. Department of Education 1990. A Profile of the American Eighth Grader: NELS:88 Student Descriptive Summary. NCES 90-45-8.
Washington, DC: U.S. Government Printing Office.
1996. Urban Schools: The Challenge of Location and Poverty. NCES 96-184. Washington, DC: U.S. Government Printing Office.
1997. Digest of Education Statistics, 1997. Washington, DC: U.S. Government Printing Office.
1998. Office of Education Research and Improvement Draft Report. October.
Vosniadou, S., and W.F. Brewer 1989. The Concept of the Earth's Shape: A Study of Conceptual Change in Childhood. Unpublished paper,
Center for the Study of Reading, University of Illinois, Champaign.
Vygotsky, L.S. 1978. Mind in Society. Cambridge, MA: Harvard University Press.
Webb, N., and T. Romberg 1992. Implications of the NCTM Standards for mathematics assessment. In Mathematics Assessment and
Evaluation, T. Romberg, ed. Albany, NY: State University of New York Press.
Weiss, C.H. 1980. Knowledge creep and decision accretion. Knowledge: Creation, Diffusion, and Utilization 1(3):381–404.
1987. Evaluating social programs: What have we learned. Society 25(1) 40–45.
1991. Policy research: Data, ideas, or arguments. Pp. 307–332 in Social Sciences and Modern States: National Experiences and Theoretical
Crossroads. P. Wagner, C.H. Weiss, B. Wittrock, and H. Wollmann, eds. Cambridge: Cambridge University Press.
1995. The haphazard connection: Social science and public policy. International Journal of Education Research 23(2):137–150.
1998a. Improving the use of evaluations: Whose job is it anyway? Advances in Educational Productivity 7:263–276.
1998b. Have we learned anything new about the use of evaluation? American Journal of Evaluation 19:21–33.
Wertsch, J. 1991. Voices of the Mind. Cambridge, MA: Harvard University Press.
Wertsch, J., G.D. McNamee, J.B. McLane, and N. Budwig 1980. The adult-child dyad as a problem-solving system. Child Development
51:1215–1221.
Wilson, K.G., and C.K. Barsky 1998. Applied research and development: Support for continuing improvement in education. Daedalus 127
(4):233–258.