Workshop Schedule and Proceedings
Tentative Workshop Schedule
9:00 - 9:30: Introduction
9:30 - 10:30: CSEDM presentations #1 – Evaluations and Analytics (Chair: Andrew Lan)
Measuring Students' Programming Skill via Online Practice. Hongwen Guo, Mo Zhang, Amy Ko, Min Li, Benjamin Zhou, Jared Lim, Paul Pham and Chen Li (ETS, UW, GaTech)
Evaluating Correctness of Student Code Explanations: Challenges and Solutions. Arun Balajiee Lekshmi Narayanan and Peter Brusilovsky (UPitt)
Learning Analytics Based on the Number of Synchronous Viewings of Online Teaching Materials in a Face-to-Face Blended Course. Konomu Dobashi, Curtis P Ho, Catherine P Fulford, Christina Higa and Kris Hara (Aichi University, UHawaii)
10:30 - 11:00: Break and Networking
11:00 - 12:00: SPLICE: CS Education Research Technology and Data Infrastructures (Peter Brusilovsky and Ken Koedinger)
12:00 - 12:30: SPLICE discussions
12:30 - 1:30: Lunch break
1:30 - 2:30: CSEDM presentations #2 – Deployment Insights (Chair: Peter Brusilovsky)
A Preliminary Analysis of Students' Help Requests with an LLM-powered Chatbot when Completing CS1 Assignments. Ruiwei Xiao, Xinying Hou, Harsh Kumar, Steven Moore, John Stamper and Michael Liut (CMU, UToronto)
Using Intelligent Texts in A Computer Science Classroom: Findings from an iTELL Deployment. Scott Crossley, Joon Suh Choi, Wesley Morris, Langdon Holmes, David Joyner and Vaibhav Gupta (Vanderbilt, GaTech)
2:30 - 3:30: EDM Heat-up Talks
Grading and Clustering Student Programs That Produce Probabilistic Output. Presented by Jadon Geathers (Stanford)
Reexamining Learning Curve Analysis in Programming Education: The Value of Many Small Problems. Presented by Mehmet Arif Demirtas (UIUC)
Assessing the Promise and Pitfalls of ChatGPT for Automated CS1-driven Code Generation. Presented by Muhammad Fawad Akbar Khan (USU)
Evaluating Multi-Knowledge Component Interpretability of Deep Knowledge Tracing Models in Programming. Presented by Yang Shi (USU)
Who Should I Help Next? Simulation of Office Hours Queue Scheduling Strategy in a CS2 Course. Presented by Zhikai Gao (NCSU)
On Assessing the Faithfulness of LLM-generated Feedback on Student Assignments. Presented by Edward Gehringer (NCSU)
Investigating the Dynamic Change of Pre- and In-service Teachers’ Experiences, Attitudes, and Perceptions through CS Autobiography Using Topic Modeling. Presented by Shan Zhang (Florida)
3:30 - 4:00: Break and Networking
4:00 - 4:55: CSEDM presentations #3 – Methods (Chair: Bita Akram)
An Approach to Detect Abnormal Submissions for CodeWorkout Dataset. Alexander Hicks, Yang Shi, Arun Balajiee Lekshmi Narayanan, Wei Yan and Samiha Marwan (VT, USU, UPitt, NAU, UVa)
Applying Sequence Analysis to Understand the Debugging Process of Novice Programmers. Qianhui Liu and Luc Paquette (UIUC)
Automated Identification of Relevant Worked Examples for Programming Problems. Muntasir Hoq, Atharva Patil, Kamil Akhuseyinoglu, Peter Brusilovsky and Bita Akram (NCSU, UPitt)
4:55 - 5:10: Wrap up + Future of CSEDM
Accepted Papers
Research Papers
A Preliminary Analysis of Students' Help Requests with an LLM-powered Chatbot when Completing CS1 Assignments. [Paper]
Ruiwei Xiao, Xinying Hou, Harsh Kumar, Steven Moore, John Stamper and Michael Liut
Using Intelligent Texts in A Computer Science Classroom: Findings from an iTELL Deployment. [Paper]
Scott Crossley, Joon Suh Choi, Wesley Morris, Langdon Holmes, David Joyner and Vaibhav Gupta
Position Papers or Work-in-progress Papers
Evaluating Correctness of Student Code Explanations: Challenges and Solutions. [Paper]
Arun Balajiee Lekshmi Narayanan and Peter Brusilovsky
Learning Analytics Based on the Number of Synchronous Viewings of Online Teaching Materials in a Face-to-Face Blended Course. [Paper]
Konomu Dobashi, Curtis P Ho, Catherine P Fulford, Christina Higa and Kris Hara
Applying Sequence Analysis to Understand the Debugging Process of Novice Programmers. [Paper]
Qianhui Liu and Luc Paquette
Automated Identification of Relevant Worked Examples for Programming Problems. [Paper]
Muntasir Hoq, Atharva Patil, Kamil Akhuseyinoglu, Peter Brusilovsky and Bita Akram
Measuring Students' Programming Skill via Online Practice. [Paper]
Hongwen Guo, Mo Zhang, Amy Ko, Min Li, Benjamin Zhou, Jared Lim, Paul Pham and Chen Li
Descriptions of CS Tools/Datasets/Infrastructure
An Approach to Detect Abnormal Submissions for CodeWorkout Dataset. [Paper]
Alexander Hicks, Yang Shi, Arun Balajiee Lekshmi Narayanan, Wei Yan and Samiha Marwan