Learning Analytics Through Serious Games: Data Mining Algorithms for Performance Measurement and Improvement Purposes
dc.contributor.author
dc.date.accessioned
2019-03-21T07:53:30Z
dc.date.available
2019-03-21T07:53:30Z
dc.date.issued
2018
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dc.description.abstract
Learning analytics is an emerging discipline focused on the measurement, collection, analysis and reporting of learner interaction data through the E-learning contents. Serious game provides a potential source for relevant educational user data; it can propose an interactive environment for training and offer an effective learning process. This paper presents methods and approaches of educational data mining such as EM and K-Means to discuss the learning analytics through serious games, and then we provide an analysis of the player experience data collected from the educational game 'ELISA' used to teach students of biology the immunological technique for determination of ANTI-HIV antibodies. Finally, we propose critically evaluation of our results including the limitations of our study and making suggestions for future research that links learning analytics and serious gaming
dc.format.extent
19 p.
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application/pdf
dc.language.iso
eng
dc.publisher
International Association of Online Engineering (IAOE)
dc.relation.isformatof
Reproducció digital del document publicat a: https://doi.org/10.3991/ijet.v13i01.7518
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International Journal of Emerging Technologies in Learning (iJET), 2018, vol. 13, núm. 1, p. 46-64
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Articles publicats (D-IMAE)
dc.rights
Reconeixement 3.0 Espanya
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dc.source
Slimani, Abdelali Elouaai, Fatiha Elaachak, Lotfi Yedri, Othman Bakkali Bouhorma, Mohammed Sbert, Mateu 2018 Learning Analytics Through Serious Games: Data Mining Algorithms for Performance Measurement and Improvement Purposes International Journal of Emerging Technologies in Learning (iJET) 13 1 46 64
dc.title
Learning Analytics Through Serious Games: Data Mining Algorithms for Performance Measurement and Improvement Purposes
dc.type
info:eu-repo/semantics/article
dc.rights.accessRights
info:eu-repo/semantics/openAccess
dc.type.version
info:eu-repo/semantics/publishedVersion
dc.identifier.doi
dc.identifier.idgrec
029518
dc.type.peerreviewed
peer-reviewed
dc.identifier.eissn
1863-0383