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ERIC Number: EJ1253796
Record Type: Journal
Publication Date: 2020-Jun
Pages: 15
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-0266-4909
EISSN: N/A
A Meta-Analysis of Research on Digital Game-Based Science Learning
Tsai, Yu-Ling; Tsai, Chin-Chung
Journal of Computer Assisted Learning, v36 n3 p280-294 Jun 2020
This meta-analysis investigates the relative effectiveness of game-based science learning against other instructional methods (Gameplay design) as well as against science game variants enriched with mechanisms (Game-mechanism design). An overall medium effect size for Gameplay design (k = 14, N[subscript es] = 14, g[subscript RE] = 0.646, p = 0.000), and an overall small-to-medium effect size for Game-mechanism design (k = 12, N[subscript es] = 13, adjusted g[subscript RE] = 0.270, p = 0.001) are reported. Further, the results of subgroup analyses suggest that students across educational levels all significantly benefit from game-based science learning although there is no significant difference between the subgroup mean effects. Further, learning and gaming mechanisms play equal roles significantly increasing students' scientific knowledge gains. With these promising results, however, high variance within the subgroups of educational levels and those of gaming mechanisms indicate that gaming mechanisms should be developed with care to meet students' different needs in different educational levels.
Wiley-Blackwell. 350 Main Street, Malden, MA 02148. Tel: 800-835-6770; Tel: 781-388-8598; Fax: 781-388-8232; e-mail: cs-journals@wiley.com; Web site: http://bibliotheek.ehb.be:2429/WileyCDA
Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A