Use of Data Mining Techniques in Extracting Navigation Sequences from Students in a Massive Open Online Course (MOOC)
DOI:
https://doi.org/10.18264/eadf.v10i2.1070Abstract
Students have different goals, preferences and interaction actions, and in MOOCs, the navigational behavior can be useful for making discoveries related to learning. In this context, this paper reports a research carried out with the purpose of detecting the navigation sequences of 906 students enrolled in a MOOC with content related to the discipline of Chemistry, and identify the most accessed educational materials. We employ educational data mining techniques, using the Apriori algorithm. The results showed 18 frequent sequences, and indicated that the contents of the first module of the course received more access.
Keywords: MOOC. Data mining. Sequential patterns.
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