Abstract
This paper presents a method for discovering interesting patterns in an e-learning system using a clustering method based on variable precision rough set theory and association rules. The information from each cluster is then used to generate interesting rules in order to help teachers in the learning process and to understand students’ behavior. To accomplish this, a database with students enrolled for a “Database” course is analyzed and the presented method discovers rules of the students’ behavior regarding the assignments, course quizzes, and also the rules of student’s interaction with teacher and other students.
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Udristoiu, A.L., Udristoiu, S. (2016). Discovering Interesting Patterns in an e-Learning System. In: Li, Y., et al. State-of-the-Art and Future Directions of Smart Learning. Lecture Notes in Educational Technology. Springer, Singapore. https://doi.org/10.1007/978-981-287-868-7_51
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DOI: https://doi.org/10.1007/978-981-287-868-7_51
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