Comparing Behavioral Data Versus Self-Reported Use of Learning Strategies in a Multiperspective Hypermedia Learning Environment

• In Event: Environment, Achievement, and Self-Regulated Learning: A Discussion

Abstract

Researchers have demonstrated the importance of self-regulated learning (SRL) to academic success, in numerous disciplines. However, more research is needed regarding various forms of measuring SRL, and in particular, whether and how offline and online measures differ in their predictive validity. In our study, we compared parallel self-reported measures of strategy use with trace data of learning behaviors to determine which predicted academic performance on an art history learning task in a multi-perspective hypermedia learning environment. German university students (n = 233) took an art history knowledge pretest, studied a 20-piece art collection hosted within the learning environment, and completed a posttest. A regression revealed that trace data were statistically significantly predictive of performance but self-reported strategy use was not.

Authors

• Rebekah Freed, University of North Carolina - Chapel Hill

• Dalila Dragnic-Cindric, Digital Promise

• Matthew L. Bernacki, University of North Carolina Chapel Hill

• Franz Wortha, Universität Greifswald

• Robert D Plumley, University of North Carolina - Chapel Hill

• Rebekah F Duke, University of North Carolina - Chapel Hill

• Maike Tibus, University of Tübingen

• Peter Gerjets

• Jeff A. Greene, University of North Carolina - Chapel Hill