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dc.contributor.advisorReynolds, Donald F.
dc.contributor.authorPorath, Jessica
dc.descriptionColor poster with text, equations, and graphs.en
dc.description.abstractWith data obtained from student enrollment records, absorbing Markov chains are used to model the academic progress of students attending the University of Wisconsin-Eau Claire over a specific period of time. Useful statistics, such as the length of time a student enrolling in UWEC as a freshman can expect to spend before graduating, are derived from the Markov model. With this information, the University may more accurately measure the academic progress of its students, and thus better reflect on its own institutional effectiveness.en
dc.description.sponsorshipUniversity of Wisconsin--Eau Claire Office of Research and Sponsored Programs.en
dc.relation.ispartofseriesUSGZE AS589en
dc.subjectMarkov processesen
dc.subjectCollege dropouts--Mathematical modelsen
dc.subjectCollege students--Wisconsin--Eau Claire--Statistics
dc.subjectCollege graduates--Wisconsin--Eau Claire--Statistics
dc.subjectUniversity of Wisconsin--Eau Claire--Statistics
dc.titleMarkov Chains and Student Academic Progress II.en
dc.typePresentationen modelsen

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    Posters of collaborative student/faculty research presented at CERCA

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