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dc.contributor.authorNiemelä, Marko, Kärkkäinen, Tommi
dc.contributor.authorÄyrämö, Sami
dc.contributor.authorRonimus, Miia
dc.contributor.authorRichardson, Ulla
dc.contributor.authorLyytinen, Heikki
dc.date.accessioned2020-02-19T12:25:41Z
dc.date.available2020-02-19T12:25:41Z
dc.date.issued2020
dc.identifier.citationNiemelä, M., Äyrämö, S., Ronimus, M., Richardson, U., & Lyytinen, H. (2020). Game learning analytics for understanding reading skills in transparent writing system. <i>British Journal of Educational Technology</i>, <i>51</i>(6), 2376-2390. <a href="https://doi.org/10.1111/bjet.12916" target="_blank">https://doi.org/10.1111/bjet.12916</a>
dc.identifier.otherCONVID_34656136
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/67896
dc.description.abstractSerious games are designed to improve learning instead of providing only entertainment. Serious games analytics can be used for understanding and enhancing the quality of learning with serious games. One challenge in developing computerized support for learning is that learning of skills varies between players. Appropriate algorithms are needed for analyzing the performance of individual players. This paper presents a novel clustering-based profiling method for analyzing serious games learners. GraphoLearn, a game for training connections between speech sounds and letters, serves as the game-based learning environment. The proposed clustering method was designed to group the learners into profiles based on game log data. The obtained profiles were statistically analyzed. For instance, the results revealed one profile consisting of 136 players who had difficulties with connecting most of the target sounds and letters, whereas learners in the other profiles typically had difficulties with specific sound-letter pairs. The results suggest that this profiling method can be useful for identifying children with a risk of reading disability and the proposed approach is a promising new method for analyzing serious game log data.en
dc.format.mimetypeapplication/pdf
dc.languageeng
dc.language.isoeng
dc.publisherWiley-Blackwell
dc.relation.ispartofseriesBritish Journal of Educational Technology
dc.rightsIn Copyright
dc.subject.otherGraphoLearn
dc.subject.otherlearning analytics
dc.subject.otherserious games
dc.subject.otherletter knowledge
dc.subject.otherreading difficulties
dc.titleGame learning analytics for understanding reading skills in transparent writing system
dc.typearticle
dc.identifier.urnURN:NBN:fi:jyu-202002192125
dc.contributor.laitosPsykologian laitosfi
dc.contributor.laitosInformaatioteknologian tiedekuntafi
dc.contributor.laitosSoveltavan kielentutkimuksen keskusfi
dc.contributor.laitosDepartment of Psychologyen
dc.contributor.laitosFaculty of Information Technologyen
dc.contributor.laitosCentre for Applied Language Studiesen
dc.contributor.oppiainePsykologiafi
dc.contributor.oppiainePsychologyen
dc.type.urihttp://purl.org/eprint/type/JournalArticle
dc.description.reviewstatuspeerReviewed
dc.format.pagerange2376-2390
dc.relation.issn0007-1013
dc.relation.numberinseries6
dc.relation.volume51
dc.type.versionacceptedVersion
dc.rights.copyright© 2020 British Educational Research Association
dc.rights.accesslevelopenAccessfi
dc.relation.grantnumber311877
dc.relation.grantnumber274050
dc.relation.grantnumber315550
dc.relation.grantnumber6066
dc.subject.ysotietokoneavusteinen oppiminen
dc.subject.ysolukihäiriöt
dc.subject.ysohyötypelit
dc.subject.ysooppimispelit
dc.subject.ysooppimisvaikeudet
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p7221
jyx.subject.urihttp://www.yso.fi/onto/yso/p5301
jyx.subject.urihttp://www.yso.fi/onto/yso/p29628
jyx.subject.urihttp://www.yso.fi/onto/yso/p23092
jyx.subject.urihttp://www.yso.fi/onto/yso/p5302
dc.rights.urlhttp://rightsstatements.org/page/InC/1.0/?language=en
dc.relation.doi10.1111/bjet.12916
dc.relation.funderSuomen Akatemiafi
dc.relation.funderSuomen Akatemiafi
dc.relation.funderSuomen Akatemiafi
dc.relation.funderFondation Botnarfi
dc.relation.funderAcademy of Finlanden
dc.relation.funderAcademy of Finlanden
dc.relation.funderAcademy of Finlanden
dc.relation.funderFoundation Botnaren
jyx.fundingprogramProfilointi, SAfi
jyx.fundingprogramAkatemiaohjelma, SAfi
jyx.fundingprogramAkatemiaohjelma, SAfi
jyx.fundingprogramMuutfi
jyx.fundingprogramResearch profiles, AoFen
jyx.fundingprogramAcademy Programme, AoFen
jyx.fundingprogramAcademy Programme, AoFen
jyx.fundingprogramOthersen
jyx.fundinginformationThis study was supported by a grant from the Academy of Finland for the Unesco professor Heikki Lyytinen (decision numbers 292493 and 311737), the professor Tommi Kärkkäinen (decision numbers 311877 and 315550), and the professor Ulla Richardson (decision number 274050). The study was also supported by a grant from the Foundation Botnar for the professor Ulla Richardson (decision number 6066). All the authors gratefully acknowledge the postdoctoral researcher Harri Ketamo for the valuable discussions related to serious games and data analytics.


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