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Download full textGarcia, Enrique; Romero, Cristobal; Ventura, Sebastian; Gea, Miguel; de Castro, Carlos – International Working Group on Educational Data Mining, 2009
This paper describes a collaborative educational data mining tool based on association rule mining for the continuous improvement of e-learning courses allowing teachers with similar course's profile sharing and scoring the discovered information. This mining tool is oriented to be used by instructors non experts in data mining such that, its…
Descriptors: Data Analysis, Electronic Learning, Teacher Collaboration, Instructional Improvement
