Exploring User Experience Evaluation in Mobile Educational Games: A Systematic Literature Review
This review investigates various models and frameworks for assessing user experience within mobile educational games (MEGs). Among the many studies surveyed, eight were thoroughly selected for their contributions to evaluating MEGs. From an extensive literature review, four primary models performed...
Published in: | 14th IEEE Symposium on Computer Applications and Industrial Electronics, ISCAIE 2024 |
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Institute of Electrical and Electronics Engineers Inc.
2024
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2-s2.0-85198905395 Yasin S.N.S.; Ibrahim R. Exploring User Experience Evaluation in Mobile Educational Games: A Systematic Literature Review 2024 14th IEEE Symposium on Computer Applications and Industrial Electronics, ISCAIE 2024 10.1109/ISCAIE61308.2024.10576446 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85198905395&doi=10.1109%2fISCAIE61308.2024.10576446&partnerID=40&md5=8cb8a91d418c35244a49cccd79d19240 This review investigates various models and frameworks for assessing user experience within mobile educational games (MEGs). Among the many studies surveyed, eight were thoroughly selected for their contributions to evaluating MEGs. From an extensive literature review, four primary models performed in evaluating MEG user experience: playability heuristics, MEEGA+, UEQ, and Pre-MEGa, with playability heuristics emerging as the most widely utilized model. While the review underscores the comprehensive nature of these models in evaluating MEGs, it identifies a notable gap concerning the assessment of educational content and mobile functionality, both crucial aspects of the MEG user experience. Consequently, the review proposes for further research to develop a more inclusive model capable of thoroughly evaluating user experience within MEGs. © 2024 IEEE. Institute of Electrical and Electronics Engineers Inc. English Conference paper |
author |
Yasin S.N.S.; Ibrahim R. |
spellingShingle |
Yasin S.N.S.; Ibrahim R. Exploring User Experience Evaluation in Mobile Educational Games: A Systematic Literature Review |
author_facet |
Yasin S.N.S.; Ibrahim R. |
author_sort |
Yasin S.N.S.; Ibrahim R. |
title |
Exploring User Experience Evaluation in Mobile Educational Games: A Systematic Literature Review |
title_short |
Exploring User Experience Evaluation in Mobile Educational Games: A Systematic Literature Review |
title_full |
Exploring User Experience Evaluation in Mobile Educational Games: A Systematic Literature Review |
title_fullStr |
Exploring User Experience Evaluation in Mobile Educational Games: A Systematic Literature Review |
title_full_unstemmed |
Exploring User Experience Evaluation in Mobile Educational Games: A Systematic Literature Review |
title_sort |
Exploring User Experience Evaluation in Mobile Educational Games: A Systematic Literature Review |
publishDate |
2024 |
container_title |
14th IEEE Symposium on Computer Applications and Industrial Electronics, ISCAIE 2024 |
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doi_str_mv |
10.1109/ISCAIE61308.2024.10576446 |
url |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85198905395&doi=10.1109%2fISCAIE61308.2024.10576446&partnerID=40&md5=8cb8a91d418c35244a49cccd79d19240 |
description |
This review investigates various models and frameworks for assessing user experience within mobile educational games (MEGs). Among the many studies surveyed, eight were thoroughly selected for their contributions to evaluating MEGs. From an extensive literature review, four primary models performed in evaluating MEG user experience: playability heuristics, MEEGA+, UEQ, and Pre-MEGa, with playability heuristics emerging as the most widely utilized model. While the review underscores the comprehensive nature of these models in evaluating MEGs, it identifies a notable gap concerning the assessment of educational content and mobile functionality, both crucial aspects of the MEG user experience. Consequently, the review proposes for further research to develop a more inclusive model capable of thoroughly evaluating user experience within MEGs. © 2024 IEEE. |
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Institute of Electrical and Electronics Engineers Inc. |
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English |
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Conference paper |
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scopus |
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Scopus |
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1814778502805716992 |