Developing a group model for student software engineering teams
Work 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 develo...
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ndltd-USASK-oai-usask.ca-etd-07052004-1400182013-01-08T16:31:33Z Developing a group model for student software engineering teams Winter, Mike F. User Modelling Group Modelling AIEd Work 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. Renihan, Patrick McCalla, Gordon I. Gutwin, Carl Greer, J. E. (Jim) Deters, Ralph University of Saskatchewan 2004-07-14 text application/pdf http://library.usask.ca/theses/available/etd-07052004-140018/ http://library.usask.ca/theses/available/etd-07052004-140018/ en unrestricted I hereby certify that, if appropriate, I have obtained and attached hereto a written permission statement from the owner(s) of each third party copyrighted matter to be included in my thesis, dissertation, or project report, allowing distribution as specified below. I certify that the version I submitted is the same as that approved by my advisory committee. I hereby grant to University of Saskatchewan or its agents the non-exclusive license to archive and make accessible, under the conditions specified below, my thesis, dissertation, or project report in whole or in part in all forms of media, now or hereafter known. I retain all other ownership rights to the copyright of the thesis, dissertation or project report. I also retain the right to use in future works (such as articles or books) all or part of this thesis, dissertation, or project report. |
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User Modelling Group Modelling AIEd Winter, Mike F. Developing a group model for student software engineering teams |
description |
Work 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. |
author2 |
Renihan, Patrick |
author_facet |
Renihan, Patrick Winter, Mike F. |
author |
Winter, Mike F. |
author_sort |
Winter, Mike F. |
title |
Developing a group model for student software engineering teams |
title_short |
Developing a group model for student software engineering teams |
title_full |
Developing a group model for student software engineering teams |
title_fullStr |
Developing a group model for student software engineering teams |
title_full_unstemmed |
Developing a group model for student software engineering teams |
title_sort |
developing a group model for student software engineering teams |
publisher |
University of Saskatchewan |
publishDate |
2004 |
url |
http://library.usask.ca/theses/available/etd-07052004-140018/ |
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AT wintermikef developingagroupmodelforstudentsoftwareengineeringteams |
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1716531808434126848 |