Extending a teachable agent with a social conversation module: effects on student experiences and learning

  • Authors:
  • Agneta Gulz;Magnus Haake;Annika Silvervarg

  • Affiliations:
  • Department of Computer Science, Linköping University, Sweden;Department of Design Sciences, Lund University, Sweden;Department of Computer Science, Linköping University, Sweden

  • Venue:
  • AIED'11 Proceedings of the 15th international conference on Artificial intelligence in education
  • Year:
  • 2011

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Abstract

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.