Experimental Research: Simulations and Serious Games for Sustainability

dc.contributor.authorNguyen U.P.
dc.contributor.authorHallinger P.
dc.contributor.otherMahidol University
dc.date.accessioned2023-06-18T17:03:40Z
dc.date.available2023-06-18T17:03:40Z
dc.date.issued2022-01-01
dc.description.abstractA review of experimental studies accounts for the effectiveness of simulation-based learning in generating behavior and other variables towards sustainability. A set of 35 studies from 1997–2019 was derived from the bibliometric database on simulations and serious games (SSG) featuring education for sustainable development (ESD). Key findings highlighted the effects of SSG on sustainable variables. The SSG featured in experiments focused on either multiple or single dimensions of sustainability and appeared in academic, household and workplace settings. The experiments are overweighed with quasi-experimental designs, indicating the challenges to achieve random assignments. The majority of the simulation gaming interventions showed significant effects on knowledge, attitude and behavior towards sustainability. Interpreting the effects requires clear evidence, particularly when effect size indicators were likely to be ignored or skipped. Future researchers must use appropriate analytical tools and justify key results to achieve statistically significant effects of SSG on outcome variables.
dc.identifier.citationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol.13219 LNCS (2022) , 101-114
dc.identifier.doi10.1007/978-3-031-09959-5_9
dc.identifier.eissn16113349
dc.identifier.issn03029743
dc.identifier.scopus2-s2.0-85135879282
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/123456789/84379
dc.rights.holderSCOPUS
dc.subjectComputer Science
dc.titleExperimental Research: Simulations and Serious Games for Sustainability
dc.typeConference Paper
mu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85135879282&origin=inward
oaire.citation.endPage114
oaire.citation.startPage101
oaire.citation.titleLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
oaire.citation.volume13219 LNCS
oairecerif.author.affiliationCollege of Management Mahidol University
oairecerif.author.affiliationUniversity of Johannesburg

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