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Title Off-task Engagement in a Teachable Agent based Math Game
Author/s Betty Tärning, Magnus Haake, Agneta Gulz
Department/s Cognitive Science
Full-text Full text is not available in this archive
Publication/Series Proceedings of the 19th International Conference on Computers in Education (ICCE-2011)
Publishing year 2011
Document type Conference
Conference name The 19th International Conference on Computers in Education
Conference location Chiang Mai, Thailand.
Status published
Quality controlled yes
Editor T Hirashima
Language English
Publisher Asia-Pacific Society for Computers in Education, Chiang Mai, Thailand.
Abstract English A previous study compared two student groups that played a mathematics game based on a teachable agent. One group played with, and the other without, the inclusion of a social conversation module: a chat between the student and the teachable agent. Results were that students who used the game with the chat included had a more positive experience of the game and learned more in the sense of teaching their agent better. However, patterns dif¬fered between sub-groups of students. Low-achievers did not prefer the game with the chat included, whereas high- and mid-achievers did, but simultaneously low-achievers tended to chat more. Low-achievers tended not to use the options of not starting the chat or quitting a chat beforehand as much as high- and mid-achievers did. In this paper we pursue a more de¬tailed analysis of the students’ conversational behavior in the chat. The analytic focus is on the notion of engagement. Results point towards differences between the student groups in their engagement in the off-task conversation, that in turn can help explain the previous somewhat paradoxical result.
Subject Technology and Engineering
Social Sciences
Keywords engagement, low- and high-achievers, natural language dialogue, off-task conversation, teachable agent, learning, quality of conversation
Project Cognition, Communication and Learning
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