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4 references
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- Vol 4 RE: Chapter 5
academic self-efficacysocial cognitive theoryefficacy-performance correspondencetask-specific beliefsself-regulationpersistencestrategy usemastery experiencesJournal article Evidence summaryAt a glance
Pajares reviews self-efficacy within Bandura’s social cognitive theory and its contribution to academic motivation and self-regulation. Self-efficacy is a person’s judgement of capability to perform a particular task under particular conditions, not general self-esteem, outcome expectation, or a broad claim of confidence.
Key ideas
Across academic domains, well-matched efficacy beliefs predict choices, effort, persistence, emotional reactions, strategy use, and performance, often beyond prior achievement or related motivational measures. The review stresses methodological correspondence: a specific judgement about solving algebra problems should be compared with performance on those problems, whereas global scales can obscure relationships. Efficacy beliefs may be inaccurate and do not replace knowledge or skill, but they influence whether learners use what they possess and persist long enough to improve. For educators, productive support combines attainable challenge, strategy instruction, credible feedback, successful experience, models, and opportunities to interpret progress.
Why it matters
Empty praise or lowering standards may not build robust self-efficacy because beliefs become useful when grounded in growing competence.
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- Vol 3 RE: Chapters 5, 9, App D
- Vol 7 RE: Chapters 6, 7, App C, App D
socially shared regulationself-regulationco-regulationcollaborative regulationgroup monitoringmotivational regulationemotional regulationprocess-sensitive measurementJournal article Evidence summaryAt a glance
Panadero and Järvelä review evidence for socially shared regulation of learning, distinguishing it from individual self-regulation and co-regulation led or supported by another person.
Key ideas
Their narrative review identifies seventeen relevant articles, thirteen of which provide empirical evidence. Across these studies, group members jointly plan, monitor, control, and evaluate cognitive, metacognitive, motivational, and emotional aspects of collaborative work. The authors conclude that socially shared regulation is empirically distinguishable, although it can alternate and interact with self- and co-regulation as collaboration unfolds. Evidence also suggests positive relations with learning and group performance, but the field uses varied concepts, units of analysis, and methods.
Why it matters
The review therefore calls for clearer theoretical boundaries, process-sensitive measurement, and research that captures regulation dynamically rather than treating it as a stable individual trait or a single group-level event.
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- Vol 4 RE: Chapter 11
motivated strategies for learning questionnaireacademic motivationlearning strategiesself-efficacymetacognitive self-regulationtest anxietyself-report measurementJournal article Evidence summaryAt a glance
Pintrich, Smith, Garcia, and McKeachie report the structure, reliability, and predictive validity of the Motivated Strategies for Learning Questionnaire, a course-specific self-report instrument for college students.
Key ideas
Its motivation section covers value through intrinsic and extrinsic goal orientation and task value, expectancy through control beliefs and self-efficacy, and affect through test anxiety. Its strategy section measures rehearsal, elaboration, organisation, critical thinking, metacognitive self-regulation, time and study-environment management, effort regulation, peer learning, and help seeking. Analyses indicated generally robust internal consistency and a defensible factor structure, while several scales related meaningfully to course grades and other performance indicators. The instrument is modular, so scales may be selected for a particular research purpose, but scores describe students’ reported motivation and strategy use in a specified course rather than fixed traits or direct observations of behaviour.
Why it matters
For educators and researchers, the MSLQ can diagnose patterns and evaluate relationships, yet interpretations should consider context, self-report bias, local validation, and the difference between correlational prediction and causal explanation.
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- Vol 4 RE: Chapter 3
attention networkseffortful controlself-regulationtemperamentbrain developmentschool readinessexecutive attentionBook Evidence summaryAt a glance
Posner and Rothbart integrate research on attention, temperament, brain development, and self-regulation in infants and young children.
Key ideas
They describe neural networks for alerting, orienting, and executive attention, examine their connectivity, and relate individual differences to both genetic variation and experience. The book explains how effortful control develops as children become increasingly able to regulate attention, emotion, and behavior. It draws on behavioral tasks, temperament measures, neuroimaging, electrophysiology, and molecular genetics to connect levels of explanation rather than reducing education to brain images. Later chapters apply this framework to school readiness, literacy, numeracy, and the development of expertise.
Why it matters
The authors’ educational argument is that attention and regulatory systems are foundational for learning and can be influenced by environments and training, while biological constraints and developmental timing remain important.
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Edition abbreviations
- TE
- Teacher Edition
- PE
- Practice Edition
- RE
- Research Edition
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