Best papers

Hao Yu, Danielle A. Allessio, William Rebelsky, Tom Murray, John J. Magee, Ivon Arroyo, Beverly P. Woolf, Sarah Adel Bargal and Margrit Betke; Affect Behavior Prediction: Using Transformers and Timing Information to Make Early Predictions of Student Exercise Outcome

Qianou Ma, Hua Shen, Kenneth Koedinger and Sherry Tongshuang Wu; How to Teach Programming in the AI Era? Using LLMs as a Teachable Agent for Debugging  

Ashwin T S and Gautam Biswas; Identifying and Mitigating Algorithmic Bias in Student Emotional Analysis

Salima Lamsiyah, Abdelkader El Mahdaouy, Aria Nourbakhsh and Christoph Schommer; A Reinforcement Learning-based Method for Educational Question Generation

Rafael Ferreira Mello, Luiz Rodrigues, Erverson Sousa, Hyan Batista, Mateus Lins, Andre Nascimento and Dragan Gasevic; Automatic Detection of Narrative Rhetorical Categories and Elements on Middle School Written Essays

Atharva Naik, Jessica Ruhan Yin, Anusha Kamath, Qianou Ma, Sherry Tongshuang Wu, Charles Murray, Majd Sakr and Carolyn P. Rose; Generating Situated Reflection Triggers About Alternative Solution Paths: A Case Study in Generative AI for Computer-Supported Collaborative Learning

Hao Yu, Danielle A. Allessio, William Rebelsky, Tom Murray, John J. Magee, Ivon Arroyo, Beverly P. Woolf, Sarah Adel Bargal and Margrit Betke; Affect Behavior Prediction: Using Transformers and Timing Information to Make Early Predictions of Student Exercise Outcome

Qianou Ma, Hua Shen, Kenneth Koedinger and Sherry Tongshuang Wu; How to Teach Programming in the AI Era? Using LLMs as a Teachable Agent for Debugging

Atharva Naik, Jessica Ruhan Yin, Anusha Kamath, Qianou Ma, Sherry Tongshuang Wu, Charles Murray, Majd Sakr and Carolyn P. Rose; Generating Situated Reflection Triggers About Alternative Solution Paths: A Case Study in Generative AI for Computer-Supported Collaborative Learning

Alexander Scarlatos, Digory Smith, Simon Woodhead and Andrew Lan; Improving the Validity of Automatically Generated Feedback via Reinforcement Learning

Chenwei Cui, Amro Abdalla, Derry Wijaya, Scott Solberg and Sarah Adel Bargal; Large Language Models for Career Readiness Prediction

Napol Rachatasumrit, Daniel Weitekamp and Kenneth Koedinger; Good Fit Bad Policy: Why Fit Statistics are a Biased Measure of Knowledge Tracer Quality

Chen Sun, Louis Major, Nariman Moustafa, Rebecca Daltry and Aidan Friedberg; Learner Agency in Personalised Content Recommendation: Investigating Its Impact in Kenyan Pre-Primary Education

Rushil Thareja, Deep Dwivedi, Ritik Garg, Shiva Baghel, Mukesh Mohania and Jainendra Shukla; EDEN: Enhanced Database Expansion in eLearning: A Method for Automated Generation of Academic Videos

Aashish Ghimire and John Edwards; From Guidelines to Governance: A Study of AI Policies in Education

Chidimma Opara; StyloAI: Distinguishing AI-Generated Content with Stylometric Analysis

Isadora Salles, Paola Mejia Domenzain, Vinitra Swamy, Julian Blackwell and Tanja Käser; Interpret3C: Interpretable Student Clustering Through Individualized Feature Selection

Hugo Damasceno, Leonardo Rocha and Antonio Serra; G-Learn: A Graph Machine Learning Content Recommendation System for Virtual Learning Environments 

Jiarui Rao, Conrad Borchers and Jionghao Lin; Coursera-REC Chatbot: Personalized MOOCs Recommendation using RAG-facilitated LLM

Qianou Ma, Hua Shen, Ken Koedinger and Sherry Tongshuang Wu; How to Teach Programming in the AI Era? HypoCompass: Using LLMs as a Teachable Agent for Debugging

Fatma Miladi; Valéry Psyché; Daniel Lemire. Interactive Conversational Agent Based on Generative AI: Towards Enhancing Engagement and Learning Outcomes in MOOCs