Developing Learning by Teaching Environments That Support Self-Regulated Learning

  • Gautam Biswas
  • Krittaya Leelawong
  • Kadira Belynne
  • Karun Viswanath
  • Daniel Schwartz
  • Joan Davis
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3220)

Abstract

Betty’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.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Gautam Biswas
    • 1
  • Krittaya Leelawong
    • 1
  • Kadira Belynne
    • 1
  • Karun Viswanath
    • 1
  • Daniel Schwartz
    • 2
  • Joan Davis
    • 2
  1. 1.Dept. of EECS & ISISVanderbilt UniversityNashvilleUSA
  2. 2.School of EducationStanford UniversityStanfordUSA

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