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ORCIDCSEDU@EDM 2024: Atlanta, GA, USA
- Yang Shi, Peter Brusilovsky, Bita Akram, Thomas W. Price, Juho Leinonen, Ken Koedinger, Andrew S. Lan:
Proceedings of 8th Educational Data Mining in Computer Science Education Workshop (CSEDM 2024) co-located with the 17th Educational Data Mining Conference (EDM 2024), Atlanta, GA, USA, July 14, 2024. CEUR Workshop Proceedings 3796, CEUR-WS.org 2024
Preface
- Preface.
Full Papers
- Ruiwei Xiao, Xinying Hou, Harsh Kumar, Steven Moore, John C. Stamper, Michael Liut:
A Preliminary Analysis of Students' Help Requests with an LLM-powered Chatbot when Completing CS1 Assignments. - Scott A. Crossley, Joon Suh Choi, Wesley Morris, Langdon Holmes, David Joyner, Vaibhav Gupta:
Using Intelligent Texts in a Computer Science Classroom: Findings from an iTELL Deployment.
Short Papers
- Arun Balajiee Lekshmi Narayanan, Peter Brusilvosky:
Evaluating Correctness of Student Code Explanations: Challenges and Solutions. - Konomu Dobashi, Curtis P. Ho, Catherine P. Fulford, Christina Higa, Kris Hara:
Learning Analytics Based on the Number of Synchronous Viewings of Online Teaching Materials in a Face-to-Face Blended Course. - Qianhui Liu, Luc Paquette:
Applying Sequence Analysis to Understand the Debugging Process of Novice Programmers. - Muntasir Hoq, Atharva Patil, Kamil Akhuseyinoglu, Bita Akram, Peter Brusilovsky:
Automated Identification of Relevant Worked Examples for Programming Problems. - Hongwen Guo, Mo Zhang, Amy J. Ko, Min Li, Benjamin Zhou, Jared Ordona Lim, Paul K. D. Pham, Chen Li:
Measuring Students' Programming Skill via Online Practice.
Descriptions
- Alex Hicks, Yang Shi, Arun Balajiee Lekshmi Narayanan, Wei Yan, Samiha Marwan:
An Approach to Detect Abnormal Submissions for CodeWorkout Dataset.
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