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Proceedings Paper

Using KDD to analyze the impact of curriculum revisions in a Brazilian university
Author(s): Karin Becker; Cinara Guellner Ghedini; Egidio Loch Terra
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Paper Abstract

This work presents an experience on the use of KDD (Knowledge Discovery in Databases) to identify and understand whether curriculum revisions can affect students in a Brazilian university. Presently, there is no framework to define the notion of impact caused by curriculum revisions, and the use of KDD can bring significant contributions, given the amount of data involved. The paper describes the analysis framework defined so far for measuring the impact of curriculum revisions, and reports the results obtained after the analysis of students records related to five distinct degrees. The results obtained so far indicate that individual revisions quite often do not affect students, being sometimes even beneficial to them. However, considering the set of revisions they face during their academic lifetime, it is possible to generalize that many students are lightly harmed. This harm influences the number of extra-classes they have to take to fulfill the requirements for obtaining a given degree, but the time required to graduate is not affected by revisions.

Paper Details

Date Published: 6 April 2000
PDF: 8 pages
Proc. SPIE 4057, Data Mining and Knowledge Discovery: Theory, Tools, and Technology II, (6 April 2000); doi: 10.1117/12.381760
Show Author Affiliations
Karin Becker, Pontificia Univ. Catolica do Rio Grande do Sul (Brazil)
Cinara Guellner Ghedini, Pontificia Univ. Catolica do Rio Grande do Sul (Brazil)
Egidio Loch Terra, Pontificia Univ. Catolica do Rio Grande do Sul (Brazil)


Published in SPIE Proceedings Vol. 4057:
Data Mining and Knowledge Discovery: Theory, Tools, and Technology II
Belur V. Dasarathy, Editor(s)

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