CSEDM 2025
9th Educational Data Mining in Computer Science Education (CSEDM) Workshop

Table of Contents

Preface

• Preface
  Bita Akram, Yang Shi, Peter Brusilovsky, Thomas Price, Ken Koedinger, Paulo Carvalho, Shan Zhang, Andrew Lan, Juho Leinonen
  Summary: There were 17 papers submitted for peer-review to this workshop. Out of these, 6 papers were accepted to the research papers track, 3 to the position papers or work-in-progress track and 2 to the description track.

Full Papers

• Reinforcement Learning for Programming Feedback: Aligning Small Language Models Without Human Preferences
  Charles Koutcheme, Nicola Dainese, Arto Hellas
• Investigating the Impact and Student Perceptions of Guided Parsons Problems for Learning Logic with Subgoals
  Sutapa Dey Tithi, Xiaoyi Tian, Min Chi, Tiffany Barnes
• Grouping and Differentiating Programming Exercises Using Minimal Programming Constructs
  Ka Weng Pan, Bryn Jeffries, Irena Koprinska
• Explainable AI in the Loop: An Instructor-Transformer Collaboration for Improving Explainability and Reliability of Feedback in Introductory Programming Classrooms
  Muntasir Hoq, Bradford Mott, Seung Lee, Jessica Vandenberg, Narges Norouzi, James Lester, Bita Akram
• Example Explorers and Persistent Finishers: Exploring Student Practice Behaviors in a Python Practice System
  Allison Poh, Anurata Prabha Hridi, Jordan Barria-Pineda, Peter Brusilovsky, Bita Akram
• Leveraging Large Language Models to Promote AI-Infused STEM Problem-Solving for Middle School Students
  Ananya Rao, Krish Piryani, Shiyan Jiang, Tiffany Barnes, Jennifer Albert, Marnie Hill, Bita Akram

Short Papers

• Exploring the Link between Cognitive Abilities and Data Science Skills using Alternative Raven's Progressive Matrices
  Farshid Farzan, Hasan Mashrique, Andrew M. Olney
• Can Motivated Students Do More Activities?
  Arun-Balajiee Lekshmi-Narayanan, Michael W. Asher, Peter Brusilovsky, Paulo F. Carvalho
• Combining Log Data and Collaborative Dialogue Features to Predict Project Quality in Middle School AI Education
  Conrad Borchers, Xiaoyi Tian, Kristy Elizabeth Boyer, Maya Israel

Descriptions

• A Specification For CS Education Dataset Documentation
  Samiha Marwan, Austin C. Bart, Thomas W. Price
• AlgoAce: Retrieval-Augmented Generation for Assistance in Competitive Programming
  Anav Agrawal, Jill-Jênn Vie