Educational Data Mining from Student Interaction with an Educational Platform

• Lucas Barreto Federal University of Amazonas
• Edwin Monteiro Federal University of Amazonas
• Gabriel Leitão Federal University of Amazonas
• Thays Bentes Federal University of Amazonas
• Raimundo Barreto Federal University of Amazonas https://orcid.org/0000-0001-8494-4225

DOI: https://doi.org/10.5753/cbie.sbie.2020.1052

Abstract

The main aim of this paper is to propose a method of data analysis, based on educational data mining and some learning metrics, from the automatic collection of student interaction data with multiple choice questionnaires. These analyzes will serve as a basis for suggesting actions to be taken to improve the teaching/learning process. Experiments were conducted in several classes at a public high school although, in this paper, the focus will be on presenting the analysis of a single class. The experimental results show that the proposed method is promising, since it provides, for each student, the learning metrics, the priorities of the study topics and analysis based on the degree of doubts, the response time and topics with major and minor number of correct answers.

Keywords: educational data mining, learning analytics, data analysis, learning metrics

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