engleski

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

Educational Data Mining and Learning Analytics are used in order to find out what impacts student success most, since increase in the passing rate has been detected. The research is conducted on the dataset compounded of two parts: the first part is extracted from the Learning Management System (LMS) Moodle logs, while the second part is related to prior knowledge and students' preparation for the study. Classification methods, associative rule mining and text mining are used to detect connections between Moodle course activities in relation to final grades.

classification; prior knowledge; educational data mining; text mining; associative rule analysis

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