Min Chi

Latest

• KC-Finder: Automated Knowledge Component Discovery for Programming Problems
• Code-DKT: A Code-based Knowledge Tracing Model for Programming Tasks.
• Cross-Lingual Adversarial Domain Adaptation for Novice Programming
• Just a Few Expert Constraints Can Help: Humanizing Data-Driven Subgoal Detection for Novice Programming
• More with less: Exploring how to use deep learning effectively through semi-supervised learning for automatic bug detection in student code.
• Immediate Data-Driven Positive Feedback Increases Engagement on Programming Homework for Novices
• The Impact of Data-driven Positive Programming Feedback: When it Helps, What Happens when it Goes Wrong, and How Students Respond
• What Time is It? Student Modeling Needs to Know
• Evaluating the Effectiveness of Parsons Problems for Block-based Programming
• Exploring the Impact of Worked Examples in a Novice Programming Environment
• One minute is enough: Early Prediction of Student Success and Event-level Difficulty during a Novice Programming Task
• The Impact of Granularity on the Effectiveness of Students ' Pedagogical Decision
• The Impact of Granularity on Worked Examples and Problem Solving
• Using the hint factory to compare model-based tutoring systems