Developing Learning by Teaching Environments That Support Self-Regulated Learning

Abstract

AbstractBetty’s Brain is a teachable agent system in the domain of river ecosystems that combines learning by teaching and self-regulation strategies to promote deep learning and understanding. Scaffolds in the form of hypertext resources, a Mentor agent, and a set of quiz questions help novice students learn and self-assess their own knowledge. The computational architecture is implemented as a multi-agent system to allow flexible and incremental design, and to provide a more realistic social context for interactions between students and the teachable agent. An extensive study that compared three versions of this system: a tutor only version, learning by teaching, and learning by teaching with self-regulation strategies demonstrates the effectiveness of learning by teaching environments, and the impact of self-regulation strategies in improving preparation for learning among novice learners.KeywordsIntelligent Tutor SystemMetacognitive StrategyMentor AgentQualitative ReasoningTeachable AgentThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.