Measuring Self-regulated Learning Skills through Social Interactions in a Teachable Agent Environment
Author
Keywords
Abstract

We have developed a learning environment where students teach a computer agent, using visual representations, and can monitor the agent’s learning progress by asking her questions and having her take quizzes. The system provides self-regulated learning and metacognitive support via dialog-embedded prompts from Betty, the teachable agent, and Mr. Davis, the mentor agent. Our primary goals have been to support learning of complex science topics in middle school classrooms and facilitate development of metacognitive skills to support future learning.

Year of Publication
2010
Journal
Research and Practice in Technology-Enhanced Learning (RPTEL)
Volume
5
Number of Pages
123–152
Attachments
Google Scholar | BibTeX | XML