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Educational data mining (EDM) aims to find useful patterns in large volumes of data from teaching/learning environments, increasing academic results. However, EDM requires previous and deep knowledge of data mining methods and techniques, involving several computing paradigms, preprocessing and results’ interpretation. In this paper, Moodle Predicta, an educational data mining desktop tool is presented. This software is developed in Java and enables non-expert data mining users to enjoy benefits from EDM, within the Moodle system. Divided in two modules, Moodle Predicta allows: (i) visualization of Moodle courses data; and (ii) predict students’ performance.

Moodle Predicta: A Data Mining Tool for Student Follow Up