A Prototype for Educational Planning Using Course Constraints to Simulate Student Populations

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dc.creatorHadzilacos, T.
dc.creatorKalles, D.
dc.creatorKoumanakos, D.
dc.creatorMitsionis, V.
dc.date2007-01-26
dc.date2009-03-11
dc.date.accessioned2026-07-07T12:50:57Z
dc.date.available2026-07-07T12:50:57Z
dc.descriptionDistance learning universities usually afford their students the flexibility to advance their studies at their own pace. This can lead to a considerable fluctuation of student populations within a program's courses, possibly affecting the academic viability of a program as well as the related required resources. Providing a method that estimates this population could be of substantial help to university management and academic personnel. We describe how to use course precedence constraints to calculate alternative tuition paths and then use Markov models to estimate future populations. In doing so, we identify key issues of a large scale potential deployment.
dc.descriptionContains 9 pages, 3 figures, 1 table. Text updated as of February 27, 2009. Submitted to a journal
dc.identifierhttps://arxiv.org/abs/cs/0701174
dc.identifierhttp://arxiv.org/abs/cs/0701174
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/222847
dc.subjectArtificial Intelligence
dc.subjectComputers and Society
dc.subjectData Structures and Algorithms
dc.subjectSymbolic Computation
dc.titleA Prototype for Educational Planning Using Course Constraints to Simulate Student Populations
dc.typetext

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