Can a teachable agent influence how students respond to competition in an educational game?

Björn Sjödén, Mats Lind, Annika Silvervarg

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceedingpeer-review

Abstract

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.

Original languageEnglish
Title of host publicationArtificial Intelligence in Education - 18th International Conference, AIED 2017, Proceedings
PublisherSpringer
Pages347-358
Number of pages12
Volume10331 LNAI
ISBN (Print)9783319614243
DOIs
Publication statusPublished - 2017
Event18th International Conference on Artificial Intelligence in Education, AIED 2017 - Wuhan, China
Duration: 2017 Jun 282017 Jul 1

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10331 LNAI
ISSN (Print)03029743
ISSN (Electronic)16113349

Conference

Conference18th International Conference on Artificial Intelligence in Education, AIED 2017
Country/TerritoryChina
CityWuhan
Period2017/06/282017/07/01

Subject classification (UKÄ)

  • Human Computer Interaction

Free keywords

  • Competition
  • Educational game
  • Social influence
  • Teachable agent

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