engleski

Assessing the impact of prior knowledge and Moodle activities in programming courses by data and text mining

This research consists of three parts and each concerns different programming course but with related objectives. We examine possible impacts on a detected increase in the passing rate within Moodle and prior knowledge data, inspect the influence of self-assessments and video lectures, as supportive activities, on the learning performance in comparison with the graded elements and, finally, we analyze student text reports in order to find useful knowledge and to verify their predictive power on final success in the course.

educational data mining; association; classification; text mining; Moodle; programming

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