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- Vol 4 RE: App D
regulated learningtemporal processesadaptive regulationmultimodal dataprocess tracingmetacognitive monitoringphysiological measurestemporal alignmentJournal article Evidence summaryAt a glance
Järvelä and Bannert argue that regulated learning must be studied as a temporal and adaptive process rather than inferred only from retrospective questionnaires or final outcomes. Learners and groups continually interpret tasks, set goals, monitor cognition, motivation, emotion, and behaviour, and adjust strategies when conditions change.
Key ideas
Multimodal data—such as trace logs, discourse, video, eye movement, physiological measures, and self-reports—can reveal complementary aspects of these otherwise partly hidden processes. The promise lies not in collecting more streams indiscriminately but in aligning theory, timescale, units of analysis, and methods for detecting meaningful events and sequences. Data sources differ in what they measure and cannot automatically identify regulation; physiological synchrony or a click, for example, requires contextual interpretation. Researchers must integrate temporally aligned evidence, distinguish individual, co-regulated, and socially shared activity, and validate computational indicators against theoretically meaningful human judgements.
Why it matters
The article outlines methodological opportunities and cautions rather than offering a single predictive model. Its central agenda is adaptive support: process evidence may eventually help recognise when regulation is needed and provide well-timed scaffolds without oversimplifying learning.
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Edition abbreviations
- TE
- Teacher Edition
- PE
- Practice Edition
- RE
- Research Edition
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