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Latent profiles of self‐regulated learning and their impacts on teachers’ technology integration

Bibliographic Data

ID21297184
AuthorsLingyun Huang (0000-0002-7336-7079, McGill University, corresponding author), Shan Li (0000-0002-3095-3721), Eric Poitras (0000-0003-0563-7978), Susanne Lajoie (0000-0003-2814-3962), Susanne P Lajoie
Year2021
Volume52
Issue2
Pages695-713
Publication date2021-03-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueBritish Journal of Educational Technology (JOURNAL)
Journal identifiersISSN: 0007-1013 • E-ISSN: 1467-8535
PublisherWiley (PUBLISHER • GB)
DOI10.1111/bjet.13050
OpenAlexW3105170226
LanguageEN
Citations received13
References cited59

Past research shows that both teachers’ technological pedagogical content knowledge (TPACK) and their engagement in metacognitive activities are essential to technology integration in the classroom. However, the interplay between teachers’ TPACK ability and their metacognitive skills is still underexplored, especially in the context of developing technology‐infused lesson plans. This study examined how the interrelations among metacognitive activities and TPACK constructs affected preservice teachers’ technology integration in instructional design. Sixty‐four preservice teachers designed a lesson with nBrowser, a computer‐based learning environment (CBLE) that helps teachers incorporate technology into instruction by promoting self‐regulated learning (SRL). Drawing on the lesson plans, we extracted six types of metacognitive processes preservice teachers exhibited while solving the task and generated two distinct SRL profiles according to the identified latent profile of metacognitive patterns. The competent self‐regulated learners demonstrated more efforts in metacognitive monitoring activities than the less competent self‐regulated learners in regulating their task solving processes. When comparing TPACK comprehension and design performance between the two profiles, the competent self‐regulated learners outperformed the less competent self‐regulated learners on comprehension and design outcomes. This study provides deep insights into teachers’ self‐regulation in CBLEs and emphasizes the pivotal role of metacognition and SRL in teachers’ TPACK development. Practitioner Notes What is already known about this topic Success in technology integration calls for teachers’ conceptual understanding of technological pedagogical content knowledge (TPACK). Teachers’ self‐regulated learning (SRL) ability mediates their TPACK development since metacognitive activities in the SRL process enable teachers to monitor and evaluate TPACK learning towards the sophisticated levels of TPACK. What this paper adds nBrowser, the computer‐based learning environment fosters teachers’ engagement in regulated TPACK development. Analysis of teachers’ lesson plans affords opportunities to identify teachers’ specific metacognitive processes in self‐regulated TPACK development. Latent profile analysis helps to understand the heterogeneity of teachers’ metacognitive processes and establish distinctive profiles regarding teachers’ self‐regulation. Teachers’ TPACK development differed significantly across distinctive SRL profiles. Implications for practice and/or policy Teacher educators should find ways to support teachers’ SRL ability in technology education. The identification of SRL profiles could contribute to designing metacognitive scaffolds in the specific domain of teachers’ technology education.

Cognition · Comprehension · Context (archaeology) · Educational technology · Mathematics education · Metacognition · Pedagogy · Self-regulated learning · Task (project management) · Technology integration · Computer Science · Education and Technology Integration · Engineering · Innovative Teaching and Learning Methods · Psychology · Reflective Practices in Education

  • Process analysis of teachers’ self-regulated learning patterns in technological pedagogical content knowledge development

    Open Access•Lingyun Huang, Susanne Lajoie et al.•Computers & Education•2021

  • Exploring the relationships between learners’ social and cognitive presence patterns and peer support in digital social reading

    Open Access•Xiaoshan Huang, Shan Li et al.•SN Social Sciences•2024

  • Preservice teachers’ technological pedagogical content knowledge development

    Open Access•Jiahong Su•Frontiers in Education•2023

  • Fostering self-regulated learning using synchronous or asynchronous digital learning environments

    Open Access•Nathalie Barz, Manuela Benick et al.•Frontiers in Education•2024

  • Exploring teachers’ emotional experience in a TPACK development task

    Open Access•Xiaoshan Huang, Lingyun Huang et al.•Educational Technology Research…•2022

  • Revealing the regulation of learning strategies of Mooc retakers

    Open Access•Yizhou Fan, Jelena Jovanović et al.•Computers & Education•2022

  • Individual differences in preservice teachers’ online self-regulated learning capacity

    Open Access•Zhuo Zhang, Yukiko Maeda et al.•Computers & Education•2023

  • The effect of preservice teachers’ ICT integration self-efficacy beliefs on their ICT competencies

    Open Access•Zhuo Zhang, Yukiko Maeda et al.•Computers & Education•2023

  • Modeling student teachers’ self-regulated learning of complex professional knowledge

    Open Access•Lingyun Huang, Ying Zhan et al.•Computers & Education•2025

  • Self-regulated learning and technological integration competency

    Open Access•Jing Li, Barry Bai•Computers & Education•2025

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  • Preservice Teachers' Artificial Intelligence Competence

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  • Does Training on Self-Regulated Learning Facilitate Students' Learning With Hypermedia?

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Unique citing works13
Citations per year2,6
Citation span2021 - 2026 (6)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 13

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