Markov Chains and Student Academic Progress.

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dc.contributor.advisorReynolds, Donald F.
dc.contributor.authorPorath, Jessica
dc.date.accessioned2009-02-09T15:16:00Z
dc.date.available2009-02-09T15:16:00Z
dc.date.issued2009-02-09T15:16:00Z
dc.descriptionColor poster with text and graph describing research conducted by Jessica Porath, advised by Donald F. Reynolds.en
dc.description.abstractWith data obtained from 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 amount 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.identifier.urihttp://digital.library.wisc.edu/1793/32181
dc.language.isoen_USen
dc.relation.ispartofseriesUSGZE AS589en
dc.subjectMarkov processesen
dc.subjectUniversity of Wisconsin--Eau Claire--Statisticsen
dc.subjectCollege graduates--Wisconsin--Eau Claire--Statisticsen
dc.subjectCollege students--Wisconsin--Eau Claire--Statisticsen
dc.subjectPostersen
dc.subjectCollege dropouts--Mathematical models
dc.titleMarkov Chains and Student Academic Progress.en
dc.typePresentationen
thesis.degree.disciplineachievement--Mathematical models

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