What Can Moment-by-Moment Learning Curves Tell About Students' Self-Regulated Learning?

• In Event: What Can Multimodal Data Streams Reveal About Students’ Self-Regulated Learning?

Abstract

This paper explores what “moment-by-moment learning curves” reveal about students’ self-regulated learning. Students learning using adaptive educational technologies (AET) on tablets leave rich traces of data that capture many details of their learning process. Moment-by-moment learning curves indicate a student's learning with each practice opportunity for a specific skill. In this study, we found that different forms of learning curves are associated differently with students‘ effort, accuracy and learning. Immediate drop and immediate peak are related with higher post-test scores, close and separate multiple spikes are related with higher effort and immediate drop with higher learner accuracy. As such moment-by-moment learning curves provide a powerful tool to advance our understanding of how students regulate their learning.

Authors

• Inge Molenaar, Radboud University Nijmegen

• Anne Horvers