University of Oulu

Malmberg, J., Saqr, M., Järvenoja, H., & Järvelä, S. (2022). How the Monitoring Events of Individual Students Are Associated With Phases of Regulation: A Network Analysis Approach. Journal of Learning Analytics, 9(1), 77-92.

How the monitoring events of individual students are associated with phases of regulation : a network analysis approach

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Author: Malmberg, Jonna1; Saqr, Mohammed2; Järvenoja, Hanna1;
Organizations: 1Department of Educational Sciences and Teacher Education, Learning and Educational Technology Research Unit (LET), Pentti Kaiteran katu 1, P.O.Box 8000, Oulu, Finland
2University of Eastern Finland, School of Computing, Joensuu, Yliopistokatu 2, fi-80100 Joensuu, Finland
Format: article
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 1.2 MB)
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Language: English
Published: Society for Learning Analytics Research, 2022
Publish Date: 2023-05-24


The current study uses a within-person temporal and sequential analysis to understand individual learning processes as part of collaborative learning. Contemporary perspectives of self-regulated learning acknowledge monitoring as a crucial mechanism for each phase of the regulated learning cycle, but little is known about the function of the monitoring of these phases by individual students in groups and the role of motivation in this process. This study addresses this gap by investigating how monitoring coexists temporally and progresses sequentially during collaborative learning. Twelve high school students participated in an advanced physics course and collaborated in groups of three for twenty 90-minute learning sessions. Each student’s monitoring events were first identified from the videotaped sessions and then associated with the regulation phase. In addition, the ways in which students acknowledged each monitoring event were coded. The results showed that cyclical phases of regulation do not coexist. However, when we examinedtemporal and sequential aspects of monitoring, the results showed that the monitoring of motivation predicts the monitoring of task definition, leading to task enactment. The results suggest that motivation is embedded inregulation phases. The current study sheds light on idiographic methods that have implications for individual learning analytics.

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Series: Journal of learning analytics
ISSN: 1929-7750
ISSN-E: 1929-7750
ISSN-L: 1929-7750
Volume: 9
Issue: 1
Pages: 77 - 92
DOI: 10.18608/jla.2022.7429
Type of Publication: A1 Journal article – refereed
Field of Science: 516 Educational sciences
Funding: This research is connected to the GenZ project(, a strategic profiling project in human sciences at the University of Oulu. The project is supported by the Academy of Finland (project number 318930) and the University of Oulu.
Copyright information: The Journal of Learning Analytics works under a Creative Commons License, Attribution -NonCommercial-NoDerivs 3.0 Unported (CC BY-NC-ND 3.0).