Computer Science – Artificial Intelligence
Scientific paper
2007-01-26
Computer Science
Artificial Intelligence
Contains 9 pages, 3 figures, 1 table. Text updated as of February 27, 2009. Submitted to a journal
Scientific paper
Distance 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.
Hadzilacos Th.
Kalles Dimitris
Koumanakos D.
Mitsionis V.
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