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Koli Calling 2022: Koli, Finland
- Ilkka Jormanainen, Andrew Petersen:
Koli Calling '22: 22nd Koli Calling International Conference on Computing Education Research, Koli 2022, Koli, Finland, November 17-20, 2022. ACM 2022, ISBN 978-1-4503-9616-5
Misconceptions and Difficulty
- Shriram Krishnamurthi
, Anika Bahl
Problematic and Persistent Post-Secondary Program Performance Preconceptions. 1:1-1:6 - Siddhartha Prasad
Making Hay from Wheats: A Classsourcing Method to Identify Misconceptions. 2:1-2:7 - Morten Bastian
Comparing estimates of difficulty of programming constructs. 3:1-3:12
Computing Programs
- Hannu Jaakkola
On Supervising Master's Theses in Industry Context. 4:1-4:10 - Fiona Redmond
With a Rise in Computing Disciplines Comes a Greater Choice of Computing Degrees in Higher Education. 5:1-5:11
K-12
- Minji Kong
Exploring K-8 Teachers' Preferences in a Teaching Augmentation System for Block-Based Programming Environments. 6:1-6:12 - Chamindi K. Samarasekara
Teachers' Views on the Implementation of a New High School Computing Curriculum. 7:1-7:10 - Michèlle Friend
Solve This! K-12 CS Education Teachers' Problems of Practice. 8:1-8:13 - Amy Isvik
Characterizing High School Participants' Motivations and Outcomes in a Service-Oriented Summer Internship. 9:1-9:12
Non-Academic Learning Environments
- Emilia F. Gan
How Gender, Ethnicity, and Public Presentation Shape Coding Perseverance after Hackathons. 10:1-10:11 - Luis Morales-Navarro
Is Computational Empowerment Promoted in the Hour of Code? Analyzing Opportunities for Conceptual, Creative, and Critical Engagement in the Design of Introductory Computing Activities. 11:1-11:6 - Fabian Graap
Informal Learning in Computer Science Museums and Exhibitions: What Visitors' Long-Term Memories Can Tell Us About Exhibits as Possible Learning Opportunities. 12:1-12:6
Systems and Tools
- Yana Malysheva
An Algorithm for Generating Explainable Corrections to Student Code. 13:1-13:11 - Filip Strömbäck
A Weak Memory Model in Progvis: Verification and Improved Accuracy of Visualizations of Concurrent Programs to Aid Student Learning. 14:1-14:12 - Ryan Hardt
A System to Motivate Sustained Lecture Video Engagement in Small Private Online Courses. 15:1-15:12
Understanding Students
- Amanpreet Kapoor
Categorizing Research on Identity in Undergraduate Computing Education. 16:1-16:13 - Matthew Barr
Why Students Drop Computing Science: Using Models of Motivation to Understand Student Attrition and Retention. 17:1-17:6 - Pawel Grabarczyk
On the Effect of Onboarding Computing Students without Programming-Confidence or -Experience. 18:1-18:8 - Diana Kirk
Refining a Risk Framework for Student Group Projects. 19:1-19:11
Improving Instruction
- Olivier Goletti
An Analysis of Tutors' Adoption of Explicit Instructional Strategies in an Introductory Programming Course. 20:1-20:12 - Bailey Kacsmar
Improving Interactive Instruction: Faculty Engagement Requires Starting Small and Telling All. 21:1-21:6
Assessment and Evaluation
- Marie Schröder, Gregor Große-Bölting
Deriving Competency-Based Evaluation Criteria for Ethics Assignments in Computer Science. 22:1-22:6 - Carl Christopher Haynes-Magyar
The Impact of Solving Adaptive Parsons Problems with Common and Uncommon Solutions. 23:1-23:14 - Ashish Aggarwal
Exploring the Differences in Students' Behavioral Engagement With Quizzes and Its Impact on their Performance in a Flipped CS1 Course. 24:1-24:11 - Francisco Enrique Vicente Castro
Experiences With and Lessons Learned on Deadlines and Submission Behavior. 25:1-25:13
Posters and Demos
- Jordan Allison
Network Packet Analysis as a Unit of Assessment: Identifying Emotet. 26:1-26:2 - Sami Sarsa
Finding Significant p in Coffee or Tea: Mildly Distasteful. 27:1-27:2 - Imke de Jong
Developing a Self-efficacy Scale for Computational Thinking (CT-SES). 28:1-28:2 - Charles Koutcheme
Towards Open Natural Language Feedback Generation for Novice Programmers using Large Language Models. 29:1-29:2 - Juho Leinonen
Trends From Computing Education Research Conferences: Increasing Submissions and Decreasing Acceptance Rates. 30:1-30:2 - Imke de Jong
Examining the Use of Computational Thinking Skills When Solving Bebras Tasks. 31:1-31:2 - Cansu Tatar
High School Students' Sense-making of Artificial Intelligence and Machine Learning. 32:1-32:2 - Markus Norrby
A Case Study on Programming in Finnish General Upper Secondary Education. 33:1-33:2 - Ashish Aggarwal
Unison Live: Automated Feedback, Grading, and Analytics LTI Application. 34:1 - Ismaila Temitayo Sanusi
Promoting Machine Learning Concept to Young Learners in a National Science Fair. 35:1-35:2 - Nadine Dittert
Kids can code - An interdisciplinary approach to programming for pre-service teachers. 36:1-36:2 - Bernhard Standl
Pre-Service Computer Science Teachers' Computational Thinking Attitudes and Performance on Python Tasks. 37:1-37:2
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