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The factors effecting students' PC game types preferences

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dc.contributor.authorsUstunel, Hakan; Meral, Mustafa; Ucar, Erdem; Umut, Ilhan
dc.contributor.editorUzunboylu, H
dc.date.accessioned2022-03-12T04:16:58Z
dc.date.accessioned2026-01-11T07:01:45Z
dc.date.available2022-03-12T04:16:58Z
dc.date.issued2012
dc.description.abstractThe aim of this study is to investigate the attitude of students' pc game and theme preferences (action, strategy, sports etc.). The data were collected from 722 students at the age of 11-14 in Istanbul and was analyzed using by Weka 3.7.0 that is a popular suite of machine learning software. At this point some classifiers and learning algorithms were used for determining which students play which types of games. the study reveals that there is a relation between students PC game types preferences and their demographic characteristics and the independent variables. The software predicts the game types truly in acceptable ratio.
dc.identifier.doi10.1016/j.sbspro.2012.06.761
dc.identifier.issn1877-0428
dc.identifier.urihttps://hdl.handle.net/11424/223478
dc.identifier.wosWOS:000342764800158
dc.language.isoeng
dc.publisherELSEVIER SCIENCE BV
dc.relation.ispartofCYPRUS INTERNATIONAL CONFERENCE ON EDUCATIONAL RESEARCH (CY-ICER-2012)
dc.relation.ispartofseriesProcedia Social and Behavioral Sciences
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectMachine learning
dc.subjectlearning algorithms computer games
dc.subjectgame themes
dc.subjectGENDER-DIFFERENCES
dc.subjectPLAY
dc.titleThe factors effecting students' PC game types preferences
dc.typeconferenceObject
dspace.entity.typePublication
oaire.citation.endPage949
oaire.citation.startPage943
oaire.citation.titleCYPRUS INTERNATIONAL CONFERENCE ON EDUCATIONAL RESEARCH (CY-ICER-2012)
oaire.citation.volume47

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