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ICALT
2010
IEEE

Course Ranking and Automated Suggestions through Web Mining

11 years 8 months ago
Course Ranking and Automated Suggestions through Web Mining
—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 OPEN eClass platform of TEI Kavala. Keywords - E-learning; Data analysis; Suggestion rules
Stavros Valsamidis, Ioannis Kazanidis, Sotirios Ko
Added 25 Jan 2011
Updated 25 Jan 2011
Type Journal
Year 2010
Where ICALT
Authors Stavros Valsamidis, Ioannis Kazanidis, Sotirios Kontogiannis, Alexandros Karakos
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