A Review of Learners' Self-Regulated Learning Behavior Analysis Using Log-Data Traces

Damayanti, Anindya and Kusumawardani, Sri Suning and Wibirama, Sunu (2023) A Review of Learners' Self-Regulated Learning Behavior Analysis Using Log-Data Traces. In: 2023 IEEE 12th International Conference on Engineering Education, ICEED 2023, 29 Agustus 2023 - 30 Agustus 2023, Shah Alam.

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Abstract

There is a recent trend of investigating self-regulated learning (SRL) using trace-based methodologies. The result of the SRL analysis can be used to provide appropriate interventions to maintain participation during online learning. There are many analytical methods that can be used to analyze the SRL process in various online learning settings. However, to the best knowledge of the authors, little attention has been paid to the literature study on SRL using trace-based methodologies. Here, we conducted a literature review to provide more insight into the investigation of the SRL process using trace data collected by an online learning system. This study reviewed relevant literature from three databases: ScienceDirect, IEEE Xplore, and Scopus from 2018 to 2022. We chose 33 articles to be reviewed and analyzed. The results show that the combination of two or more analytical methods can provide a wider insight into the SRL process. Different learning modalities use an online learning system with many features that activate different behaviors. Therefore, challenges are explored for future research.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: educational data mining,learning analytics,machine learning,process mining,self-regulated learning
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Engineering > Electrical and Information Technology Department
Depositing User: Rita Yulianti Yulianti
Date Deposited: 02 Apr 2024 06:31
Last Modified: 02 Apr 2024 06:31
URI: https://ir.lib.ugm.ac.id/id/eprint/444

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