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

• Type: Journal
• Year: 2010
• Where: ICALT
• Authors: Stavros Valsamidis, Ioannis Kazanidis, Sotirios Kontogiannis, Alexandros Karakos
• Keywords: Course Evaluation, Course Evaluation Metrics, ICALT 2010, Machine Learning, OPEN EClass Platform