Course Ranking and Automated Suggestions through Web Mining

Authors:
Stavros Valsamidis;Ioannis Kazanidis;Sotirios Kontogiannis;Alexandros Karakos
Affiliations:
-;-;-;-
Venue:
ICALT '10 Proceedings of the 2010 10th IEEE International Conference on Advanced Learning Technologies
Year:
2010

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Abstract

This paper introduces new metrics for course evaluation. It is also proposes a ranking algorithm that classifies courses based on the previous course evaluation metrics and suggests appropriate actions for course content improvement. The algorithm was tested and verified successfully in data originated from the eClass platform of TEI Kavala.