Educational Data Mining

Adaptive, Immediate Feedback (AIF) for Novice Programmings
Automatically providing real-time, formative feedback, that is specific, immediate, positive and corrective, for novices as they program in Snap! block-based programming environment.
Adaptive, Immediate Feedback (AIF) for Novice Programmings
Assessing Open-Ended Programming through Dynamic Analysis
Analyzing student code with complex inputs and graphical outputs through dynamic analysis to enable automated assessment.
Assessing Open-Ended Programming through Dynamic Analysis
Automatic Student Code Modeling and Analysis
Using Machine Learning to classify student code, detect bugs by students, and model student progress.
Automatic Student Code Modeling and Analysis
Example-based Feedback
Using examples to support students as they program.
Example-based Feedback
Open-ended Programming Projects
Automated tools to help students plan and implement creative, open-ended programming projects.
Open-ended Programming Projects
iSnap: Data-driven Hints for Block-based Programming
iSnap supports students automatically with hints, feedback and self-explanations.
Code
iSnap: Data-driven Hints for Block-based Programming