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

  • Agneta Gulz
  • Magnus Haake
  • Annika Silvervarg
Conference paper

DOI: 10.1007/978-3-642-21869-9_16

Volume 6738 of the book series Lecture Notes in Computer Science (LNCS)
Cite this paper as:
Gulz A., Haake M., Silvervarg A. (2011) Extending a Teachable Agent with a Social Conversation Module – Effects on Student Experiences and Learning. In: Biswas G., Bull S., Kay J., Mitrovic A. (eds) Artificial Intelligence in Education. AIED 2011. Lecture Notes in Computer Science, vol 6738. Springer, Berlin, Heidelberg

Abstract

The paper discusses the addition of off-task socially oriented conver sational 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.

Keywords

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

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Agneta Gulz
    • 1
  • Magnus Haake
    • 2
  • Annika Silvervarg
    • 1
  1. 1.Department of Computer ScienceLinköping UniversitySweden
  2. 2.Department of Design SciencesLund UniversitySweden