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David Williamson Shaffer

David W. Shaffer

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affiliation: University of Wisconsin-Madison, Department of Educational Psychology, USA

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2020 – today

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2024
[j22]
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Jina Kang, Yiqiu Zhou, Robin Jephthah Rajarathinam, Yuanru Tan, David Williamson Shaffer:
Unveiling joint attention dynamics: Examining multimodal engagement in an immersive collaborative astronomy simulation. Comput. Educ. 213: 105002 (2024)
[j21]
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Abigail R. Wooldridge, Pascale Carayon, Peter Hoonakker, Bat-Zion Hose, David W. Shaffer, Thomas Brazelton, Ben L. Eithun, Deborah A. Rusy, Joshua Ross, Jonathan E. Kohler, Michelle M. Kelly, Scott R. Springman, Ayse P. Gurses:
Team Cognition in Handoffs: Relating System Factors, Team Cognition Functions and Outcomes in Two Handoff Processes. Hum. Factors 66(1): 271-293 (2024)
[j20]
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Andrew R. Ruis, Carol Barford, Jais Brohinsky, Yuanru Tan, Matthew Bougie, Zhiqiang Cai, Tyler J. Lark, David Williamson Shaffer:
iPlan: A Platform for Constructing Localized, Reduced-Form Models of Land-Use Impacts. Multimodal Technol. Interact. 8(4): 30 (2024)
[c80]
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Conrad Borchers, Yeyu Wang, Shamya Karumbaiah, Muhammad Ashiq, David Williamson Shaffer, Vincent Aleven:
Revealing Networks: Understanding Effective Teacher Practices in AI-Supported Classrooms using Transmodal Ordered Network Analysis. LAK 2024: 371-381
2023
[j19]
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Yizhou Fan, Yuanru Tan, Mladen Rakovic, Yeyu Wang, Zhiqiang Cai, David Williamson Shaffer, Dragan Gasevic:
Dissecting learning tactics in MOOC using ordered network analysis. J. Comput. Assist. Learn. 39(1): 154-166 (2023)
[j18]
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Mladen Rakovic, Nora'ayu Ahmad Uzir, Wannisa Matcha, Brendan R. Eagan, Jelena Jovanovic, David Williamson Shaffer, Abelardo Pardo, Dragan Gasevic:
Network Analytics to Unveil Links of Learning Strategies, Time Management, and Academic Performance in a Flipped Classroom. J. Learn. Anal. 10(3): 64-86 (2023)
[c79]
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Linxuan Zhao, Yuanru Tan, Dragan Gasevic, David Williamson Shaffer, Lixiang Yan, Riordan Alfredo, Xinyu Li, Roberto Martínez Maldonado:
Analysing Verbal Communication in Embodied Team Learning Using Multimodal Data and Ordered Network Analysis. AIED 2023: 242-254
[c78]
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Lixiang Yan, Yuanru Tan, Zachari Swiecki, Dragan Gasevic, David Williamson Shaffer, Linxuan Zhao, Xinyu Li, Roberto Martínez Maldonado:
Characterising Individual-Level Collaborative Learning Behaviours Using Ordered Network Analysis and Wearable Sensors. ICQE 2023: 66-80
[c77]
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Andrew R. Ruis, Yuanru Tan, Jais Brohinsky, Binrui Yang, Yeyu Wang, Zhiqiang Cai, David Williamson Shaffer:
Thin Data, Thick Description: Modeling Socio-Environmental Problem-Solving Trajectories in Localized Land-Use Simulations. ICQE 2023: 349-364
[c76]
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Yeyu Wang, Mamta Shah, Francisco A. Jimenez, Cheryl Wilson, Muhammad Ashiq, Brendan R. Eagan, David Williamson Shaffer:
Developing Nursing Students' Practice Readiness with Shadow Health® Digital Clinical Experiences^rmTM: A Transmodal Analysis. ICQE 2023: 365-380
[c75]
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Zhiqiang Cai, Brendan R. Eagan, David Williamson Shaffer:
Negative Reversion: Toward Intelligent Co-raters for Coding Qualitative Data in Quantitative Ethnography. ICQE 2023: 426-437
[c74]
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Zhiqiang Cai, Cody Marquart, Brendan R. Eagan, Yaxuan Xiao, David Williamson Shaffer:
A Lightweight Interactive Regular Expression Generator for Qualitative Coding in Quantitative Ethnography. ICQE 2023: 455-469
[c73]
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Yeyu Wang, Andrew R. Ruis, David Williamson Shaffer:
Qualitative Parameter Triangulation: A Formulated Approach to Parameterize Multimodal Models. CrossMMLA@LAK 2023: 30-35
[i1]
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  - journals/corr/abs-2312-10826
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Conrad Borchers, Yeyu Wang, Shamya Karumbaiah, Muhammad Ashiq, David Williamson Shaffer, Vincent Aleven:
Revealing Networks: Understanding Effective Teacher Practices in AI-Supported Classrooms using Transmodal Ordered Network Analysis. CoRR abs/2312.10826 (2023)
2022
[j17]
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Dragan Gasevic, Samuel Greiff, David Williamson Shaffer:
Towards strengthening links between learning analytics and assessment: Challenges and potentials of a promising new bond. Comput. Hum. Behav. 134: 107304 (2022)
[c72]
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Zhiqiang Cai, Cody Marquart, David W. Shaffer:
Neural Recall Network: A Neural Network Solution to Low Recall Problem in Regex-based Qualitative Coding. EDM 2022
[c71]
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Andrew J. Schoen, Nathan Thomas White, Curt Henrichs, Amanda Siebert-Evenstone, David W. Shaffer, Bilge Mutlu:
CoFrame: A System for Training Novice Cobot Programmers. HRI 2022: 185-194
[c70]
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Zhiqiang Cai, Brendan R. Eagan, Cody Marquart, David Williamson Shaffer:
LSTM Neural Network Assisted Regex Development for Qualitative Coding. ICQE 2022: 17-29
[c69]
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  - conf/icqe/ChoiR0ES22
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Jaeyoon Choi, Andrew R. Ruis, Zhiqiang Cai, Brendan R. Eagan, David Williamson Shaffer:
Does Active Learning Reduce Human Coding?: A Systematic Comparison of Neural Network with nCoder. ICQE 2022: 30-42
[c68]
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  - conf/icqe/KnowlesB0S22
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Mariah A. Knowles, Amanda Barany, Zhiqiang Cai, David Williamson Shaffer:
Multiclass Rotations in Epistemic Network Analysis. ICQE 2022: 58-70
[c67]
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David Williamson Shaffer, Andrew R. Ruis:
Is QE Just ENA? ICQE 2022: 71-86
[c66]
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  - conf/icqe/TanRM0KS22
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Yuanru Tan, Andrew R. Ruis, Cody Marquart, Zhiqiang Cai, Mariah A. Knowles, David Williamson Shaffer:
Ordered Network Analysis. ICQE 2022: 101-116
[c65]
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Yeyu Wang, Andrew R. Ruis, David Williamson Shaffer:
Modeling Collaborative Discourse with ENA Using a Probabilistic Function. ICQE 2022: 132-145
2021
[c64]
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  - conf/icqe/LevineES21
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Peter Levine, Brendan R. Eagan, David Williamson Shaffer:
Deliberation as an Epistemic Network: A Method for Analyzing Discussion. ICQE 2021: 17-32
[c63]
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David Williamson Shaffer, Brendan R. Eagan, Mariah A. Knowles, Clara Porter, Zhiqiang Cai:
Zero Re-centered Projection: An Alternative Proposal for Modeling Empty Networks in ENA. ICQE 2021: 66-79
[c62]
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Yuanru Tan, Cesar Hinojosa, Cody Marquart, Andrew R. Ruis, David Williamson Shaffer:
Epistemic Network Analysis Visualization. ICQE 2021: 129-143
2020
[j16]
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  - journals/chb/SwieckiRFS20
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Zachari Swiecki, Andrew R. Ruis, Cayley Farrell, David Williamson Shaffer:
Assessing individual contributions to Collaborative Problem Solving: A network analysis approach. Comput. Hum. Behav. 104: 105876 (2020)
[c61]
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  - conf/chi/MichaelisSSM20
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Joseph E. Michaelis, Amanda Siebert-Evenstone, David Williamson Shaffer, Bilge Mutlu:
Collaborative or Simply Uncaged? Understanding Human-Cobot Interactions in Automation. CHI 2020: 1-12
[c60]
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  - conf/icls/BauerSKS0PGF020
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Elisabeth Bauer, Michael Sailer, Jan Kiesewetter, David Williamson Shaffer, Claudia Schulz, Jonas Pfeiffer, Iryna Gurevych, Martin R. Fischer, Frank Fischer:
Pre-Service Teachers' Diagnostic Argumentation: What is the Role of Conceptual Knowledge and Cross-Domain Epistemic Activities? ICLS 2020
[c59]
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Zhiqiang Cai, Amanda Siebert-Evenstone, Brendan R. Eagan, David Williamson Shaffer:
Using Topic Modeling for Code Discovery in Large Scale Text Data. ICQE 2020: 18-31
[c58]
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David Williamson Shaffer, Andrew R. Ruis:
How We Code. ICQE 2020: 62-77
[c57]
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  - conf/icqe/BowmanSCWELS20
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Dale Bowman, Zachari Swiecki, Zhiqiang Cai, Yeyu Wang, Brendan R. Eagan, Jeff T. Linderoth, David Williamson Shaffer:
The Mathematical Foundations of Epistemic Network Analysis. ICQE 2020: 91-105
[c56]
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  - conf/icqe/BrohinskyMWRS20
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Jais Brohinsky, Cody Marquart, Junting Wang, Andrew R. Ruis, David Williamson Shaffer:
Trajectories in Epistemic Network Analysis. ICQE 2020: 106-121
[c55]
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  - conf/icqe/FogelSMCWBSERS20
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Ariel Fogel, Zachari Swiecki, Cody Marquart, Zhiqiang Cai, Yeyu Wang, Jais Brohinsky, Amanda Siebert-Evenstone, Brendan R. Eagan, Andrew R. Ruis, David Williamson Shaffer:
Directed Epistemic Network Analysis. ICQE 2020: 122-136
[c54]
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Yeyu Wang, Zachari Swiecki, Andrew R. Ruis, David Williamson Shaffer:
Simplification of Epistemic Networks Using Parsimonious Removal with Interpretive Alignment. ICQE 2020: 137-151
[c53]
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  - conf/icqe/PhillipsSKGS20
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Michael Phillips, Amanda Siebert-Evenstone, Aaron Kessler, Dragan Gasevic, David Williamson Shaffer:
Professional Decision Making: Reframing Teachers' Work Using Epistemic Frame Theory. ICQE 2020: 265-276
[c52]
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  - conf/icqe/Siebert-Evenstone20
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Amanda Siebert-Evenstone, Joseph E. Michaelis, David Williamson Shaffer, Bilge Mutlu:
Safety First: Developing a Model of Expertise in Collaborative Robotics. ICQE 2020: 304-318
[c51]
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  - conf/icqe/MisiejukSKVS20
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Kamila Misiejuk, Jennifer Scianna, Rogers Kaliisa, Karl Vachuska, David Williamson Shaffer:
Incorporating Sentiment Analysis with Epistemic Network Analysis to Enhance Discourse Analysis of Twitter Data. ICQE 2020: 375-389
[c50]
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Zachari Swiecki, David Williamson Shaffer:
iSENS: an integrated approach to combining epistemic and social network analyses. LAK 2020: 305-313
[c49]
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  - conf/lak/EaganBWS20
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Brendan R. Eagan, Jais Brohinsky, Jingyi Wang, David Williamson Shaffer:
Testing the reliability of inter-rater reliability. LAK 2020: 454-461

2010 – 2019

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2019
[j15]
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Zachari Swiecki, Andrew R. Ruis, Dipesh Gautam, Vasile Rus, David Williamson Shaffer:
Understanding when students are active-in-thinking through modeling-in-context. Br. J. Educ. Technol. 50(5): 2346-2364 (2019)
[j14]
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Dragan Gasevic, Srecko Joksimovic, Brendan R. Eagan, David Williamson Shaffer:
SENS: Network analytics to combine social and cognitive perspectives of collaborative learning. Comput. Hum. Behav. 92: 562-577 (2019)
[c48]
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Brendan R. Eagan, Zachari Swiecki, Cayley Farrell, David W. Shaffer:
The Binary Replicate Test: Determining the Sensitivity of CSCL Models to Coding Error. CSCL 2019
[c47]
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Andrew R. Ruis, Amanda Siebert-Evenstone, Rebecca Pozen, Brendan R. Eagan, David W. Shaffer:
Finding Common Ground: A Method for Measuring Recent Temporal Context in Analyses of Complex, Collaborative Thinking. CSCL 2019
[c46]
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Amanda Siebert-Evenstone, David W. Shaffer:
Location, Location, Location: The Effects of Place in Place-Based Simulations. CSCL 2019
[c45]
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Hanall Sung, Shengyang Cao, Andrew R. Ruis, David W. Shaffer:
Reading for Breadth, Reading for Depth: Understanding the Relationship Between Reading and Complex Thinking Using Epistemic Network Analysis. CSCL 2019
[c44]
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Zachari Swiecki, Zheming Lian, Andrew R. Ruis, David W. Shaffer:
Does Order Matter? Investigating Sequential and Cotemporal Models of Collaboration. CSCL 2019
[c43]
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Zhiqiang Cai, Amanda Siebert-Evenstone, Brendan R. Eagan, David Williamson Shaffer, Xiangen Hu, Arthur C. Graesser:
nCoder+: A Semantic Tool for Improving Recall of nCoder Coding. ICQE 2019: 41-54
[c42]
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Amanda Siebert-Evenstone, David Williamson Shaffer:
Cause and Because: Using Epistemic Network Analysis to Model Causality in the Next Generation Science Standards. ICQE 2019: 223-233
[c41]
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Zachari Swiecki, Cody Marquart, Arjun Sachar, Cesar Hinojosa, Andrew R. Ruis, David Williamson Shaffer:
Designing an Interface for Sharing Quantitative Ethnographic Research Data. ICQE 2019: 334-341
2018
[j13]
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Sean Andrist, Andrew R. Ruis, David Williamson Shaffer:
A network analytic approach to gaze coordination during a collaborative task. Comput. Hum. Behav. 89: 339-348 (2018)
[j12]
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Andras Csanadi, Brendan R. Eagan, Ingo Kollar, David Williamson Shaffer, Frank Fischer:
When coding-and-counting is not enough: using epistemic network analysis (ENA) to analyze verbal data in CSCL research. Int. J. Comput. Support. Collab. Learn. 13(4): 419-438 (2018)
[c40]
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Zhiqiang Cai, Art Graesser, Leah Windsor, Qinyu Cheng, David W. Shaffer, Xiangen Hu:
Impact of Corpus Size and Dimensionality of LSA Spaces from Wikipedia Articles on AutoTutor Answer Evaluation. EDM 2018
[c39]
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Andrew R. Ruis, Amanda Siebert-Evenstone, Rebecca Pozen, Brendan R. Eagan, David Williamson Shaffer:
A Method for Determining the Extent of Recent Temporal Context in Analyses of Complex, Collaborative Thinking. ICLS 2018
[c38]
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Zachari Swiecki, David W. Shaffer:
Toward a Taxonomy of Team Performance Visualization Tools. ICLS 2018
[c37]
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Aroutis Foster, Mamta Shah, Amanda Barany, Mark Eugene Petrovich Jr., Jessica Cellitti, Migela Duka, Zachari Swiecki, Amanda Siebert-Evenstone, Hannah Kinley, Peter Quigley, David Williamson Shaffer:
Virtual Learning Environments for Promoting Self Transformation: Iterative Design and Implementation of Philadelphia Land Science. iLRN 2018: 3-22
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Tiffany Herder, Zachari Swiecki, Simon Skov Fougt, Andreas Lindenskov Tamborg, Benjamin Brink Allsopp, David Williamson Shaffer, Morten Misfeldt:
Supporting teachers' intervention in students' virtual collaboration using a network based model. LAK 2018: 21-25
2017
[j11]
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Golnaz Arastoopour Irgens, Naomi C. Chesler, Jeffrey T. Linderoth, David Williamson Shaffer:
Data-enabled cognitive modeling: Validating student engineers' fuzzy design-based decision-making in a virtual design problem. Comput. Appl. Eng. Educ. 25(6): 1001-1017 (2017)
[j10]
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Jenny Saucerman, Andrew R. Ruis, David Williamson Shaffer:
Automating the Detection of Reflection-on-Action. J. Learn. Anal. 4(2) (2017)
[j9]
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Kristine Lund, Matthieu Quignard, David Williamson Shaffer:
Gaining Insight by Transforming Between Temporal Representations of Human Interaction. J. Learn. Anal. 4(3) (2017)
[j8]
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Amanda Lee Siebert-Evenstone, Golnaz Arastoopour Irgens, Wesley Collier, Zachari Swiecki, Andrew R. Ruis, David Williamson Shaffer:
In Search of Conversational Grain Size: Modeling Semantic Structure using Moving Stanza Windows. J. Learn. Anal. 4(3) (2017)
[c35]
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Andras Csanadi, Brendan R. Eagan, David W. Shaffer, Ingo Kollar, Frank Fischer:
Collaborative and Individual Scientific Reasoning of Pre-Service Teachers: New Insights Through Epistemic Network Analysis (ENA). CSCL 2017
[c34]
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Brendan R. Eagan, Bradley Rogers, Ronald C. Serlin, Andrew R. Ruis, Golnaz Arastoopour Irgens, David Williamson Shaffer:
Can We Rely on IRR? Testing the Assumptions of Inter-Rater Reliability. CSCL 2017
[c33]
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Zhiqiang Cai, Brendan R. Eagan, Nia Dowell, James W. Pennebaker, Arthur C. Graesser, David W. Shaffer:
Epistemic Network Analysis and Topic Modeling for Chat Data from Collaborative Learning Environment. EDM 2017
[c32]
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Dipesh Gautam, Zachari Swiecki, David W. Shaffer, Vasile Rus, Arthur C. Graesser:
Modeling Classifiers for Virtual Internships Without Participant Data. EDM 2017
[c31]
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Vasile Rus, Dipesh Gautam, Dale Bowman, Arthur C. Graesser, David W. Shaffer:
Markov Analysis of Students' Professional Skills in Virtual Internships. FLAIRS 2017: 116-121
2016
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David Williamson Shaffer, Wesley Collier, Andrew R. Ruis:
A Tutorial on Epistemic Network Analysis: Analyzing the Structure of Connections in Cognitive, Social, and Interaction Data. J. Learn. Anal. 3(3): 9-45 (2016)
[c30]
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Vasile Rus, Dipesh Gautam, Zach Swiecki, David W. Shaffer, Art Graesser:
Assessing Student-Generated Design Justifications in Virtual Engineering Internships. EDM 2016: 496-501
[c29]
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Wesley Collier, Andrew R. Ruis, David Williamson Shaffer:
Local Versus Global Connection Making in Discourse. ICLS 2016
[c28]
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Amanda Siebert-Evenstone, Golnaz Arastoopour, Wesley Collier, Zachari Swiecki, Andrew R. Ruis, David Williamson Shaffer:
In Search of Conversational Grain Size: Modeling Semantic Structure Using Moving Stanza Windows. ICLS 2016
2015
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Elizabeth Bagley, David Williamson Shaffer:
Stop talking and type: comparing virtual and face-to-face mentoring in an epistemic game. J. Comput. Assist. Learn. 31(6): 606-622 (2015)
[j5]
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Alyssa Friend Wise, David Williamson Shaffer:
Why Theory Matters More than Ever in the Age of Big Data. J. Learn. Anal. 2(2): 5-13 (2015)
[c27]
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Golnaz Arastoopour, David Williamson Shaffer:
Epistemography and Professional CSCL Environment Design. CSCL 2015
2014
[c26]
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Simon Knight, Golnaz Arastoopour, David Williamson Shaffer, Simon Buckingham Shum, Karen Littleton:
Epistemic Networks for Epistemic Commitments. ICLS 2014
[c25]
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Golnaz Arastoopour, Simon Buckingham Shum, Wesley Collier, Paul A. Kirschner, Simon Knight, David Williamson Shaffer, Alyssa Friend Wise:
Analytics for Learning and Becoming in Practice. ICLS 2014
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Haiying Li, Ying Duan, Danielle N. Clewley, Brent Morgan, Arthur C. Graesser, David Williamson Shaffer, Jenny Saucerman:
Question Asking During Collaborative Problem Solving in an Online Game Environment. Intelligent Tutoring Systems 2014: 617-618
2013
[c23]
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Jin Wang, Haiying Li, Zhiqiang Cai, Fazel Keshtkar, Arthur C. Graesser, David Williamson Shaffer:
AutoMentor: Artificial Intelligent Mentor in Educational Game. AIED 2013: 940-941
[c22]
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Golnaz Arastoopour Irgens, David Williamson Shaffer:
Measuring Social Identity Development in Epistemic Games. CSCL (1) 2013: 42-48
[c21]
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Golnaz Arastoopour, Naomi C. Chesler, David Williamson Shaffer:
A Simulation-Based Approach for Increasing Women in Engineering. CSCL (2) 2013: 217-218
[c20]
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Padraig Nash, David Williamson Shaffer:
Epistemic Trajectories: Mentoring in a Game Design Practicum. CSCL (1) 2013: 352-359
[c19]
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David Williamson Shaffer, Chandra Hawley Orrill, Golnaz Arastoopour:
Measuring Collaborative Thinking Using Epistemic Network Analysis. CSCL (2) 2013: 456-459
[c18]
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Brent Morgan, Fazel Keshtkar, Arthur C. Graesser, David Williamson Shaffer:
Automating the Mentor in a Serious Game: A Discourse Analysis Using Finite State Machines. HCI (29) 2013: 591-595
2012
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Elizabeth Bagley, David Williamson Shaffer:
Epistemic Mentoring in Virtual and Face-to-Face Environments. ICLS 2012
[c16]
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Chandra Hawley Orrill, David Williamson Shaffer:
Exploring Connectedness: Applying ENA to Teacher Knowledge. ICLS 2012
2011
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Padraig Nash, David Williamson Shaffer:
Mentor modeling: the internalization of modeled professional thinking in an epistemic game. J. Comput. Assist. Learn. 27(2): 173-189 (2011)
[c15]
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Cynthia D'Angelo, Golnaz Arastoopour, Naomi C. Chesler, David Williamson Shaffer:
Collaborating in a Virtual Engineering Internship. CSCL 2011
2010
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Elizabeth Bagley, David Williamson Shaffer:
The epistemography of urban and regional planning 912: appropriation in the face of resistance. ICLS (1) 2010: 81-88
[c13]
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Padraig Nash, David Williamson Shaffer:
Mentor modeling: the internalization of modeled professional thinking in an epistemic game. ICLS (1) 2010: 269-276
[c12]
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David Hatfield, David Williamson Shaffer:
The epistemography of journalism 335: complexity in developing journalistic expertise. ICLS (1) 2010: 628-635

2000 – 2009

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2009
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Elizabeth Bagley, David Williamson Shaffer:
When People Get in the Way: Promoting Civic Thinking Through Epistemic Gameplay. Int. J. Gaming Comput. Mediat. Simulations 1(1): 36-52 (2009)
2008
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David Hatfield, David Williamson Shaffer, Elizabeth Bagley, Aran Nulty, Padraig Nash:
Reflection in professional play. ICLS (3) 2008: 245-252
2007
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Tak-Wai Chan, Ana Paiva, David Williamson Shaffer, Kinshuk, Jie-Chi Yang:
DIGITEL 2007, The First IEEE International Workshop on Digital Game and Intelligent Toy Enhanced Learning, Proceedings, 26-28 March 2007, Jhongli, Taiwan. IEEE Computer Society 2007, ISBN 978-0-7695-2801-4 [contents]
2006
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David W. Shaffer:
Epistemic frames for epistemic games. Comput. Educ. 46(3): 223-234 (2006)
[c10]
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Richard Halverson, David Williamson Shaffer, Kurt Squire, Constance Steinkuehler:
Theorizing Games in/and Education. ICLS 2006
[c9]
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David Hatfield, David Williamson Shaffer:
Press Play: Designing an Epistemic Game Engine for Journalism. ICLS 2006
[c8]
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David Williamson Shaffer, Kurt Squire:
The Pasteurization of Education. ICLS 2006
[c7]
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Gina Navoa Svarovsky, David Williamson Shaffer:
Berta's Tower: Developing Conceptual Physics Understanding One Exploratoid at a Time. ICLS 2006
[c6]
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Gina Navoa Svarovsky, David Williamson Shaffer:
Engineering Girls Gone Wild: Developing an Engineering Identity in Digital Zoo. ICLS 2006
2005
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David Williamson Shaffer, Katherine A. Clinton:
Why all CSL is CL: distributed mind and the future of computer supported collaborative learning. CSCL 2005: 592-601
2004
[j1]
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David Williamson Shaffer, James A. Gordon, Nancy L. Bennett:
Learning, Testing, and the Evaluation of Learning Environments in Medicine: Global Performance Assessment in Medical Education. Interact. Learn. Environ. 12(3): 167-178 (2004)
[c4]
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Kelly L. Beckett, David Williamson Shaffer:
We Built This City: Developing Students' Understanding of Ecology Through the Professional Practice of Urban Planning. ICLS 2004
[c3]
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David Williamson Shaffer:
Epistemic Frames and Islands of Expertise: Learning from Infusion Experiences. ICLS 2004
[c2]
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Gina Navoa Svarovsky, David Williamson Shaffer:
Berta's Tower: Understanding Physics Through Virtual Engineering. ICLS 2004

1990 – 1999

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1997
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David Williamson Shaffer:
Design, collaboration, and computation: the design studio as a model for computer supported collaboration in mathematics. CSCL 1997: 253-258

Coauthor Index

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