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Can a Teachable Agent Influence How Students Respond to Competition in an Educational Game?
Lund Univ, Sweden; Halmstad Univ, Sweden.
Uppsala Univ, Sweden.
Linköping University, Department of Computer and Information Science, Human-Centered systems. Linköping University, Faculty of Arts and Sciences.ORCID iD: 0000-0001-6997-3917
2017 (English)In: ARTIFICIAL INTELLIGENCE IN EDUCATION, AIED 2017, SPRINGER INTERNATIONAL PUBLISHING AG , 2017, Vol. 10331, p. 347-358Conference paper, Published paper (Refereed)
Abstract [en]

Learning in educational games is often associated with some form of competition. We investigated how students responded to winning or losing in an educational math game, with respect to playing with or without a Teachable Agent (TA). Students could choose between game modes in which the TA took a more passive or active role, or let the TA play a game entirely on its own. Based on the data logs from 3983 games played by 163 students (age 10-11), we analyzed data on students persistence, challenge-seeking and performance during gameplay. Results indicated that students showed greater persistence when playing together with the TA, by more often repeating a lost game with the TA, than a lost game after playing alone. Students challenge-seeking, by increasing the difficulty level, was greater following a win than following a loss, especially after the TA won on its own. Students gameplay performance was unaffected by their TA winning or losing but was, unexpectedly, slightly worse following a win by the student alone. We conclude that engaging a TA can make students respond more productively to both winning and losing, depending on the particular role the TA takes in the game. These results may inform more specific hypotheses as to the differential effects of competing and collaborating in novel, AI-supported social constellations, such as with TAs, on students motivation and ego-involvement in educational games.

Place, publisher, year, edition, pages
SPRINGER INTERNATIONAL PUBLISHING AG , 2017. Vol. 10331, p. 347-358
Series
Lecture Notes in Artificial Intelligence, ISSN 0302-9743
Keywords [en]
Educational game; Competition; Teachable agent; Social influence
National Category
Learning
Identifiers
URN: urn:nbn:se:liu:diva-149406DOI: 10.1007/978-3-319-61425-0_29ISI: 000434475300029ISBN: 978-3-319-61425-0 (print)OAI: oai:DiVA.org:liu-149406DiVA, id: diva2:1229217
Conference
18th International Conference on Artificial Intelligence in Education (AIED)
Available from: 2018-06-29 Created: 2018-06-29 Last updated: 2018-06-29

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf