Data Mining for Computer Science Education

Computer Science Education

These projects explore how to better support students learning computer programming through mining their own and past students’ code submissions. We create innovative data mining techniques to provide (1) insights into their learning behaviours, (2) automated and immediate personalised hints when students are stuck.

Team members

Irena Koprinska & Kalina Yacef (CHAI, USyd), Bryn Jeffries & Vincent Gramoli (SIT, USyd), Sammi Chow & Jessica McBroom (USyd).

Industry Partner

GrokLearning (Sydney)