Fun to Enhance Learning, Motivation, Self-efficacy, and Intention to Play in DGBL

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

3 Citaten (Scopus)

Samenvatting

Digital Game-Based Learning (DGBL) has been attracting increasing attention from researchers and educators, especially as related studies suggest it can enhance learning and positively affect students’ motivation, attitude, self-efficacy, and intention to play similar games. However, research into DGBL is not explicit about the role of fun in DGBL. In our study we hypothesized that the perceived fun while playing with an educational game has a positive impact on children’s measured- and perceived learning, motivation, attitude, self-efficacy and intention to play similar games. We conducted an online survey study with secondary school students (N = 28, mean age = 13.54) before and after playing with an online educational game on the topic of biology. The results indicate that the fun they experience while playing the game has a significant and positive effect on the perceived learning, the change in students’ motivation and self-efficacy, and the intention to play similar games. However, no significant effect was found on the measured learning and the change in attitude towards the subject. Our findings partially support the contention that making DGBL more fun improves learning. Future research should seek further empirical evidence in other topic areas and for different ages, and to explore how DGBL can help improve attitudes towards the topic as well.
Originele taal-2Engels
TitelEntertainment Computing – ICEC 2021 - 20th IFIP TC 14 International Conference, ICEC 2021, Proceedings
RedacteurenJannicke Baalsrud Hauge, Jannicke Baalsrud Hauge, Jorge C.S. Cardoso, Licínio Roque, Pedro A. Gonzalez-Calero
UitgeverijSpringer
Pagina's28-45
Aantal pagina's18
ISBN van elektronische versie978-3-030-89394-1
ISBN van geprinte versie978-3-030-89393-4
DOI's
StatusGepubliceerd - 22 okt. 2021

Publicatie series

NaamLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13056 LNCS
ISSN van geprinte versie0302-9743
ISSN van elektronische versie1611-3349

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