Yang Shi

Latest

• Interpretable Code-Informed Student Modeling for Computer Science Education
• Proceedings of the 8th Workshop on Educational Data Mining in Computer Science Education @ EDM'24
• Continuous student modeling for programming in the classroom: challenges, methods, and evaluation
• Investigating the Impact of On-Demand Code Examples on Novices' Open-Ended Programming Experience
• KC-Finder: Automated Knowledge Component Discovery for Programming Problems
• Proceedings of the 7th Workshop on Educational Data Mining in Computer Science Education @ LAK'23
• Code-DKT: A Code-based Knowledge Tracing Model for Programming Tasks.
• Identifying Common Errors in Open-Ended Machine Learning Projects
• Proceedings of the 6th Workshop on Educational Data Mining in Computer Science Education @ EDM'22
• Automatic Student Code Modeling and Analysis
• Classroom Impact
• Just a Few Expert Constraints Can Help: Humanizing Data-Driven Subgoal Detection for Novice Programming
• Early Performance Prediction using Interpretable Patterns in Programming Process Data
• Identifying Struggling Students in Novice Programming Course with Knowledge Tracing
• More with less: Exploring how to use deep learning effectively through semi-supervised learning for automatic bug detection in student code.
• Proceedings of the 5th Workshop on Educational Data Mining in Computer Science Education @ EDM'21
• Toward Semi-Automatic Misconception Discovery Using Code Embeddings
• Comparing Feature Engineering Approaches to Predict Complex Programming Behaviors
• Proceedings of the 4th Workshop on Educational Data Mining in Computer Science Education @ EDM'20