Markov Chains and Student Academic Progress II.

dc.contributor.advisor	Reynolds, Donald F.
dc.contributor.author	Porath, Jessica
dc.date.accessioned	2009-09-15T16:10:47Z
dc.date.available	2009-09-15T16:10:47Z
dc.date.issued	2009-04
dc.description	Color poster with text, equations, and graphs.	en
dc.description.abstract	With 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.sponsorship	University of Wisconsin--Eau Claire Office of Research and Sponsored Programs.	en
dc.identifier.uri	http://digital.library.wisc.edu/1793/36590
dc.language.iso	en_US	en
dc.relation.ispartofseries	USGZE AS589	en
dc.subject	Markov processes	en
dc.subject	College dropouts--Mathematical models	en
dc.subject	Posters	en
dc.subject	College students--Wisconsin--Eau Claire--Statistics
dc.subject	College graduates--Wisconsin--Eau Claire--Statistics
dc.subject	University of Wisconsin--Eau Claire--Statistics
dc.title	Markov Chains and Student Academic Progress II.	en
dc.type	Presentation	en
thesis.degree.discipline	achievement--Mathematical models	en

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