Markov Chains and Student Academic Progress II.
Date
2009-04Author
Porath, Jessica
Department
achievement--Mathematical models
Advisor(s)
Reynolds, Donald F.
Metadata
Show full item recordAbstract
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.
Subject
Markov processes
College dropouts--Mathematical models
Posters
College students--Wisconsin--Eau Claire--Statistics
College graduates--Wisconsin--Eau Claire--Statistics
University of Wisconsin--Eau Claire--Statistics
Permanent Link
http://digital.library.wisc.edu/1793/36590Type
Presentation
Description
Color poster with text, equations, and graphs.