Applying Data Mining Techniques to e-Learning Problems

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Educational Data Mining: A Review of the State of the Art (2010, background): “large amounts of information about teaching–learning interaction are endlessly generated and ubiquitously available [60].”
Web usage mining for predicting final marks of students that use Moodle courses (2013, background): “Some examples of e-learning problems or tasks that data mining techniques have been applied to [16] are: dealing with the assessment of students’ learning performance, providing course adaptation and learning recommendations based on the students’ learning behavior, dealing with the evaluation of le”
Artificial intelligence for education: Knowledge and its assessment in AI-enabled learning ecologies (2020, background): “The emerging fields of educational data mining (Castro, Vellido, Nebot, & Mugica, 2007; Siemens & Bake, 2013) and learning analytics (DiCerbo & Behrens, 2014; Siemens, 2013) have begun to identify and test many of these opportunities.”