Data Challenge

2nd CSEDM Data Challenge

The 2nd CSEDM Data Challenge has been launched at the 5th CSEDM Workshop. The goal of the challenge is to develop new modeling techniques to predict students' learning outcomes in CS/programming classrooms, based on their submissions to and performance on past programming problems. We hope to bring together researchers at the intersection of AI/ML, Educational Data Mining (EDM), Learning Analytics and Computing Education to develop advances that can directly impact CS classrooms. This year's challenge features a larger dataset and multiple submission tracks.

A working (and incomplete) draft of the challenge can be found here.

Part of this years CSEDM Workshop highlighted the Data Challenge, and provide space for attendees to ask questions, identify potential collaborators and present in-progress work.

This challenge builds on the 1st Data Challenge, where participants competed to create the best student model to predict programming performance. We had four entries and one winner, which were presented at the 2nd CSEDM Workshop.

For any questions about the 2nd CSEDM Data Challenge, contact Thomas Price at twprice@ncsu.edu.