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Extending a Teachable Agent with a Social Conversation Module – Effects on Student Experiences and Learning

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Author

Editor

  • Gautam Biswas
  • Susan Bull

Summary, in English

The paper discusses the addition of off-task socially oriented conversational abilities to an existing “teachable agent” (TA) in an educational game in mathematics. The purpose of this extension is to affect constructs known to promote learning, such as self-efficacy and engagement as well as enhance students’ experiences of interacting with the game. A comparison of students that played the game with the off-task interaction to those who played without it, shows trends that indicate that students who played the game with off-task interaction had a more positive experience of the game, and that they also learnt more, as reflected in the learning outcomes of their TAs.

Department/s

Publishing year

2011

Language

English

Pages

106-114

Publication/Series

Proceedings of Artificial Intelligence in Education, 2011 LNAI 6738

Document type

Conference paper

Publisher

Springer

Topic

  • Learning

Keywords

  • socially oriented conversation
  • off-task interaction
  • teachable agent
  • Educational game in mathematics
  • conversational pedagogical agent
  • SoTL

Conference name

The 15th International Conference on Artificial Intelligence in Education

Conference date

2011-06-27 - 2011-07-02

Conference place

Auckland, New Zealand

Status

Published

Project

  • Thinking in Time: Cognition, Communication and Learning