Using clickers to predict students final courses grades, an artificial intelligence approach

F. Delahunty and A. Schliep

Technical report, Jan 2019. Extended Abstract for Conference on Teaching and Learning (KUL2019).

Clickers are useful for improving interaction in teaching. Here, we demonstrate how artificial intelligence can improve this usefulness even further by predicting final exam scores of students early in the semester. We also investigate how the number of attempts a student makes effect the correctness of the answer.

A reprint is available as PDF.

Further publications by Alexander Schliep.