University of Oulu

Malmberg, J., Saqr, M., Järvenoja, H., Haataja, E., Pijeira-Díaz, H.J., Järvelä, S. (2022). Modeling the Complex Interplay Between Monitoring Events for Regulated Learning with Psychological Networks. In: Giannakos, M., Spikol, D., Di Mitri, D., Sharma, K., Ochoa, X., Hammad, R. (eds) The Multimodal Learning Analytics Handbook. Springer, Cham.

Modeling the complex interplay between monitoring events for regulated learning with psychological networks

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Author: Malmberg, Jonna1; Saqr, Mohammed2; Järvenoja, Hanna1;
Organizations: 1University of Oulu, Oulu, Finland
2University of Eastern Finland, School of Computing, Joensuu, Finland
3Maastricht University, Maastricht, Netherlands
Format: article
Version: accepted version
Access: embargoed
Persistent link:
Language: English
Published: Springer, 2022
Publish Date: 2024-10-09


This chapter builds on the notion that multimodal learning analytics (MMLA) has potential to offer new innovations for the field of education and can be gradually implemented to provide constitutive explanations to improve individual student regulation. We will ground the chapter on the theoretical framework of self-regulated learning (SRL), addressing especially the pivotal role of metacognitive monitoring as a part of regulated learning cycle. Hence, we will introduce the relationship between physiological arousal and monitoring. In particular, we will demonstrate via empirical examples how network analysis methods can provide new insights on the complex interrelations of how monitoring manifests in interactions and evolves across phases of SRL at the a) group level, b) temporal level, and c) individual student level. We conclude the chapter by discussing the prospects, possibilities and challenges of the network analysis as a methodological approach for SRL research.

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ISBN: 978-3-031-08076-0
ISBN Print: 978-3-031-08075-3
Pages: 79 - 104
DOI: 10.1007/978-3-031-08076-0_4
Host publication: The multimodal learning analytics handbook
Host publication editor: Giannakos, Michail
Spikol, Daniel
Di Mitri, Daniele
Sharma, Kshitij
Ochoa, Xavier
Hammad, Rawad
Type of Publication: A3 Book chapter
Field of Science: 516 Educational sciences
Copyright information: © 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG.