Analysis of the student's learning trajectory in distance learning through process mining

• Adriana J. Unger Virtual University of the State of São Paulo http://orcid.org/0000-0001-5743-5724
• Daniel A. L. Junior Virtual University of the State of São Paulo
• Felipe O. Lima Virtual University of the State of São Paulo https://orcid.org/0000-0002-3655-094X
• Iago C. Geraldo Virtual University of the State of São Paulo https://orcid.org/0000-0002-6348-7034
• Sheila K. Venero Virtual University of the State of São Paulo http://orcid.org/0000-0001-6571-4408
• Rosana R. A. Ambrosio Virtual University of the State of São Paulo https://orcid.org/0000-0003-4980-2277

DOI: https://doi.org/10.5753/sbie.2022.225733

Abstract

Thanks to the use of virtual learning environments in distance education, user actions can be recorded in event logs, capturing student activities at different levels of granularity. In this scenario, process mining applications can reveal students’ learning paths, helping to discover, monitor, and improve educational processes. This article presents the mining of educational processes in a Brazilian virtual university to analyze the processes carried out by the students during their learning path. The analysis of interactions between students and content modules showed which activities generated more student engagement and helped to understand how students learn.

Keywords: Learning analytics, Distance learning, Educational process mining

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