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Developing a group model for student software engineering teams

dc.contributor.advisorMcCalla, Gordon I.en_US
dc.contributor.committeeMemberRenihan, Patricken_US
dc.contributor.committeeMemberGutwin, Carlen_US
dc.contributor.committeeMemberGreer, J. E. (Jim)en_US
dc.contributor.committeeMemberDeters, Ralphen_US
dc.creatorWinter, Mike F.en_US
dc.date.accessioned2004-07-05T14:00:18Zen_US
dc.date.accessioned2013-01-04T04:42:12Z
dc.date.available2004-07-14T08:00:00Zen_US
dc.date.available2013-01-04T04:42:12Z
dc.date.created2004-05en_US
dc.date.issued2004-05-14en_US
dc.date.submittedMay 2004en_US
dc.description.abstractWork on developing team models for use in adaptive systems generally and intelligent tutoring systems more specifically has largely focused on the task skills or learning efficacy of teams working on short-term projects in highly-controlled virtual environments. In this work, we report on the development of a balanced team model that takes into account task skills, teamwork behaviours and team workflow that has been empirically evaluated via an uncontrolled real-world long-term pilot study of student software engineering teams. We also discuss the use of the the J4.8 machine learning algorithm with our team model in the construction of a team performance prediction system.en_US
dc.identifier.urihttp://hdl.handle.net/10388/etd-07052004-140018en_US
dc.language.isoen_USen_US
dc.subjectUser Modellingen_US
dc.subjectGroup Modellingen_US
dc.subjectAIEden_US
dc.titleDeveloping a group model for student software engineering teamsen_US
dc.type.genreThesisen_US
dc.type.materialtexten_US
thesis.degree.departmentComputer Scienceen_US
thesis.degree.disciplineComputer Scienceen_US
thesis.degree.grantorUniversity of Saskatchewanen_US
thesis.degree.levelMastersen_US
thesis.degree.nameMaster of Science (M.Sc.)en_US

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