Modeling and Measuring Self-Regulated Learning in Teachable Agent Environments
Author
Abstract

Our learning-by-teaching environment has students take on the role and responsibilities of a teacher to a virtual student named Betty. The environment is designed to help students learn and understand science topics for themselves as they teach and monitor their agent. This process is supported by adaptive scaffolding and feedback through interactions with the teachable agent and a mentor agent. This paper discusses the results of a comparative study conducted in an 8th-grade science classroom, where students received two kinds of metacognitive and learning strategy feedback.

Year of Publication
2011
Journal
Journal of e-Learning and Knowledge Society
Volume
7
Start Page
19
Number of Pages
19-35
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