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dc.contributor.authorRingenbach, Michaelen_US
dc.description.abstractThis paper seeks to identify one of the key problems faced by academic institutions seeking accreditation. The accreditation process requires academic institutions to conduct a self-study analyzing how well a given program is meeting the learning outcomes the accreditation board uses in its assessment. This self-study by schools often contains qualitative or subjective data and does not directly correlate the learning outcomes being measured to student performance. The lack of quantitative measurements at a granular level means that it is difficult for the academic institution to prove that it was effective in meeting a particular outcome. I propose in this paper a tool that is both efficient and effective in capturing quantitative data at the student level. The tool maps specific coursework to learning outcomes and shows how students performed towards that outcome over the duration of a particular course or program. Additionally, the data collected by the tool can be used to assess course and program design.en_US
dc.publisherVirginia Techen_US
dc.rightsI 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 Virginia Tech 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.en_US
dc.titleCollecting Student Data for Accreditation Assessmenten_US
dc.contributor.departmentComputer Scienceen_US
dc.description.degreeMaster of Scienceen_US
thesis.degree.nameMaster of Scienceen_US
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen_US
thesis.degree.disciplineComputer Scienceen_US
dc.contributor.committeechairEdwards, Stephen H.en_US
dc.contributor.committeememberPérez-Quiñones, Manuel A.en_US
dc.contributor.committeememberRibbens, Calvin J.en_US

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