Game-Based Learning Can Enhance Students’ Understanding of AI Ethics

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Abstract

As AI technologies advance and become more integrated into society, it is crucial for students to develop a strong understanding of AI ethics. However, interventions specifically targeting AI ethics are scarce, as are those using game-based learning in AI literacy education, presenting an opportunity to explore the potential of game-based learning for teaching AI ethics. In this paper, we report the results of a pilot study in which we investigated the usefulness of a game-based learning environment titled MediaWatch - AI Ethics. The game was designed to foster an understanding of AI ethics. The study was conducted with 40 Finnish 9th-grade students who played MediaWatch - AI Ethics for about ten minutes during the regular school day. Pre-and post-test measurements were used to assess changes in students’ understanding of AI ethics and epistemic curiosity, while in-game measurements were used to examine self-efficacy and epistemic curiosity during gameplay. The findings revealed that even a short duration of gameplay can positively influence students’ understanding of AI ethics, suggesting that game-based learning is a promising approach to AI ethics education. However, the game did not significantly impact students’ epistemic curiosity or self-efficacy. The results contribute to the discussion of approaches to foster AI literacy and encourage further exploration of game-based learning in AI ethics instruction.
Original languageEnglish
Title of host publicationGames and Learning Alliance
Subtitle of host publication13th International Conference, GALA 2024, Berlin, Germany, November 20–22, 2024, Proceedings
EditorsAvo Schönbohm, Francesco Bellotti, Antonio Bucchiarone, Francesca de Rosa, Manuel Ninaus, Alf Wang, Vanissa Wanick, Pierpaolo Dondio
PublisherSpringer
Pages47-56
ISBN (Electronic)978-3-031-78269-5
ISBN (Print)978-3-031-78268-8
DOIs
Publication statusPublished - 2024
Publication typeA4 Article in conference proceedings
EventInternational Conference on Games and Learning Alliance - Berlin, Germany
Duration: 20 Nov 202422 Nov 2024

Publication series

NameLecture Notes in Computer Science
Volume15348
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceInternational Conference on Games and Learning Alliance
Country/TerritoryGermany
CityBerlin
Period20/11/2422/11/24

Publication forum classification

  • Publication forum level 1

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