Students Behavior Assessment in a Ubiquitous Learning Environment

• Juliete A. R. Costa Instituto Federal de Educação, Ciência e Tecnologia do Sul de Minas Gerais
• Fabiano A. Dorça Federal University of Uberlândia - UFU https://orcid.org/0000-0003-3281-0246
• Rafael D. Araújo Federal University of Uberlândia https://orcid.org/0000-0003-0545-2519

DOI: https://doi.org/10.5753/cbie.sbie.2020.182

Abstract

Computers have been increasingly mixed in daily life. In the educational context, these devices give rise to the so-called Ubiquitous Learning Environments that enhance the learning process in a more dynamic and engaging context. This kind of system generates valuable data that can be exploited by data mining techniques. Therefore, this work analyzes data from a Ubiquitous Learning Environment with the help of the data clustering technique in order to observe students' behavior in learning sessions. Results have shown statistically significant differences in the found clusters and evidence of Self-Regulated Learning in one of the groups.

Keywords: Ubiquitous Educational Environment, Educational Data Mining, Self-Regulated Learning

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