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59 references
Paas, Renkl, and Sweller introduce a special issue reviewing developments in cognitive load theory and instructional design. The theory connects the severe limits of working memory for novel information with the effectively large store of organised schemas in long-term memory.
Instruction should therefore reduce unnecessary processing and direct limited capacity toward acquiring and automating useful schemas. The article summarises established effects such as worked examples, completion tasks, split attention, modality, and redundancy, while highlighting newer questions about learner expertise, motivation, measurement, and complex learning. A technique that helps novices can become unnecessary or harmful as knowledge grows—the expertise-reversal effect—so guidance should adapt over time. The authors distinguish sources of load conceptually but acknowledge challenges in measuring them independently.
For educators, cognitive-load theory does not mean eliminating difficulty or breaking every lesson into tiny fragments. It means preserving difficulty intrinsic to the learning goal while removing avoidable search, coordination, and irrelevant information, then fading support as learners develop organised knowledge.
Paavola and Hakkarainen argue that learning is not adequately described only as individual acquisition of knowledge or participation in a community.
They propose a third, “trialogical” metaphor: learning as collaborative creation and sustained development of shared objects, such as explanations, models, practices, or products. The article compares three traditions that exemplify this orientation—Bereiter’s knowledge-building, Engeström’s expansive learning, and Nonaka and Takeuchi’s organizational knowledge creation—and identifies common features while preserving their differences. Its central contribution is an epistemological framework for examining how people collectively advance knowledge through mediated activity. The authors also illustrate how the knowledge-creation perspective can be applied in school settings.
For educators, the argument shifts attention from what an individual learner possesses or how learners participate toward how a group improves shared intellectual objects over time.
Paavola, Lipponen, and Hakkarainen distinguish three broad metaphors of learning.
The acquisition metaphor treats learning as gaining knowledge or skills within an individual; the participation metaphor emphasises becoming a member of a community and adopting its practices; the knowledge-creation metaphor focuses on collaboratively developing shared objects, ideas, and practices. The authors compare three influential models of innovative knowledge communities: Nonaka and Takeuchi’s organisational knowledge creation, Engeström’s expansive learning, and Bereiter’s knowledge building. Despite different traditions, the models emphasise sustained work with shared objects, interaction between individual and collective activity, use of multiple representations, movement across boundaries, and transformation rather than mere transmission. The metaphors are complementary analytical lenses, not mutually exclusive teaching methods.
For educators, knowledge creation requires more than discussion or group membership: learners need consequential questions, improvable shared artefacts, tools for recording and revising ideas, access to expertise, and a community commitment to advancing understanding over time.
Paivio reviews roughly three decades of research that led from experiments on imagery and verbal processes to dual coding theory as an account of memory and cognition.
The theory proposes distinct but interconnected verbal and nonverbal representational systems, helping explain why concrete words and images often enjoy mnemonic advantages. The review traces the conceptual-peg origins of the theory, surveys evidence on concreteness, imagery, associative memory, recall, and recognition, and addresses both broad and specific criticisms. Particular attention is given to competing accounts that treat abstract propositional representations as the fundamental basis of cognition. Paivio evaluates empirical and conceptual responses to those alternatives and discusses related issues such as schema theory and standards for comparing psychological theories.
The article is therefore both a historical synthesis and a defense and refinement of dual coding theory’s explanatory scope.
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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.
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.
Empty praise or lowering standards may not build robust self-efficacy because beliefs become useful when grounded in growing competence.
Palincsar and Brown report two studies of reciprocal teaching for seventh-grade students who could decode text but struggled to comprehend it. Tutor or teacher and students took turns leading dialogue around four activities: summarising, generating questions, clarifying difficulties, and predicting what would follow.
The adult initially modelled expert comprehension, prompted participation, diagnosed misunderstandings, and gradually transferred leadership as students became more capable. Compared with a more typical intervention, reciprocal teaching improved the quality of students’ questions and summaries and produced gains on criterion comprehension tests. Improvements were maintained and transferred to classroom and standardised measures; a second study showed that classroom teachers could implement the approach with existing groups. The work combines explicit strategy instruction with guided collaborative practice rather than asking students to discover strategies independently.
For educators, the four routines are means to make monitoring visible. Success depends on responsive dialogue, modelling, feedback, and gradual release—not merely assigning rotating roles or following a scripted sequence.
Pan, Dunlosky, Xu, and Ouwehand introduce a special issue on the next phase of test-enhanced learning research.
They note that retrieval practice and related testing effects are well established, then organize emerging questions across practice formats and research themes. The issue covers retrieval practice, spaced retrieval, prequestioning and pretesting, and test-potentiated new learning, alongside comparisons and combinations with other learning strategies. It also highlights metacognition and self-regulation, applications in authentic educational settings, and communication of findings to teachers and learners. The commentary maps the included reviews, empirical studies, and reflections onto these themes and identifies unresolved questions for future investigation.
Its practical message is that research should move beyond demonstrating that testing can improve learning toward understanding boundary conditions, implementation, learner regulation, and effective translation into educational practice.
Panadero compares six influential models of self-regulated learning: those developed by Zimmerman, Boekaerts, Winne and Hadwin, Pintrich, Efklides, and Hadwin, Järvelä, and Miller.
The review shows that self-regulation is not a single study skill but an interacting set of cognitive, metacognitive, behavioural, motivational, and emotional processes. Although the models use different terminology and levels of analysis, they commonly describe cyclical activity in which learners interpret a task, set goals, select and monitor strategies, and adapt in light of feedback. The paper traces how the field has expanded from individual regulation toward co-regulation and socially shared regulation in collaborative learning. It also identifies directions for research, including integrating models, improving measurement, studying emotion and motivation, and examining regulation in groups and technology-rich settings.
For educators, the comparison supports designing tasks that make goals and standards clear, prompt planning and monitoring, provide usable feedback, and gradually help learners assume control of their learning.
Panadero and Alonso-Tapia explain student self-assessment through two complementary traditions: self-regulated learning and formative assessment. They define self-assessment as a qualitative judgement of one’s learning process or product against explicit criteria, distinguishing it from merely assigning oneself a grade.
The review describes how monitoring, comparison with standards, feedback, and subsequent action can help learners regulate cognition, motivation, and performance. It also examines developmental and instructional conditions under which students acquire these capabilities. Self-assessment is not assumed to be naturally accurate or automatically beneficial; learners need understandable criteria, exemplars, modelling, practice, external feedback, and opportunities to revise. Techniques such as rubrics, scripts, prompts, and structured reflection can make the process visible, but their value depends on how teachers introduce and use them.
For classroom practice, the central implication is to embed self-assessment within an improvement cycle: clarify quality, elicit a reasoned judgement, compare perspectives, and require a concrete next step rather than treating self-rating as an endpoint.
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.
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.
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.
Panadero, Andrade, and Brookhart connect two research traditions that have often developed separately: self-regulated learning and formative classroom assessment.
They trace how both fields came to emphasize students’ active use of goals, criteria, feedback, monitoring, and reflection, then propose a roadmap for integrating their concepts and evidence. The article examines assessment practices such as self-assessment, peer assessment, rubrics, feedback, and shared criteria as mechanisms that can activate regulatory processes. It argues that assessment becomes formative when learners use information to judge current work and decide what to do next, not merely when teachers deliver comments or scores. The authors identify conceptual overlaps, gaps in empirical research, and priorities for studying how assessment supports cognition, motivation, and behavior over time.
For practice, the synthesis frames classroom assessment as part of learning regulation rather than a separate measurement event.
Panadero, Broadbent, Boud, and Lodge examine how formative assessment can help learners move from externally supported regulation toward more independent self-regulation.
Their model centers on evaluative judgement: the capacity to understand quality and make sound decisions about one’s own and others’ work. Teacher feedback, peer assessment, self-assessment, exemplars, and criteria can expose learners to assessment knowledge and regulatory strategies. Through these interactions, regulation is initially shared or co-regulated, then may be appropriated by the learner. The authors distinguish this developmental function from merely supplying corrective information and argue that students need repeated opportunities to judge quality and act on those judgements.
The paper offers a conceptual bridge between formative assessment and regulated-learning research, while identifying implications for designing assessment practices that develop durable learner agency.
Panadero, Brown, and Strijbos review what research has established—and still needs to establish—about student self-assessment.
They distinguish five areas of uncertainty: competing typologies of self-assessment, the accuracy of students’ judgements, the role of task expertise, relations between student and teacher or curricular expectations, and differential effects for different learners. The review shows that the term self-assessment covers several practices, even though studies often treat it as a single uniform construct. It examines factors affecting realism or agreement with external judgements and argues that sufficient knowledge of the task may be necessary for accurate evaluation. The authors also question whether accuracy should always be the sole goal and consider how lower-performing students can be supported.
Their agenda calls for clearer definitions, stronger designs, and analysis of whom particular self-assessment practices help and under what conditions.
Panadero and colleagues meta-analyse research on how rubrics relate to academic performance, self-regulated learning, and self-efficacy.
Rubrics can clarify criteria and performance levels, helping learners plan, monitor, self-assess, and revise their work, especially when used formatively rather than only for scoring. Effects vary with the way rubrics and associated self- or peer-assessment activities are designed. The review therefore supports making quality criteria usable by learners and combining rubrics with dialogue, comparison, feedback, and revision rather than assuming that simply distributing a rubric produces self-regulation.
Its meta-analytic design also makes the limits and variability of the evidence more visible than a single classroom study could.
Paris, Lipson, and Wixson present strategic reading as purposeful, flexible action by a reader rather than a fixed property of a technique. They distinguish declarative knowledge—knowing what a strategy is—from procedural knowledge—knowing how to execute it—and conditional knowledge—knowing when, where, and why it should be used.
Skilled reading also requires metacognitive evaluation: readers monitor whether comprehension is succeeding, choose actions when it breaks down, and judge whether those actions worked. Motivation matters because strategy use depends on learners’ goals, beliefs, attributions, and willingness to exert control; merely demonstrating a procedure does not ensure that a student will deploy it appropriately. The framework therefore links cognitive knowledge, self-regulation, and agency. For educators, strategy instruction should explain purposes and conditions, model decision making, provide guided application across varied texts, invite reflection on outcomes, and gradually transfer responsibility.
Isolated worksheets or universal routines can produce mechanical behaviour without the conditional understanding needed for independent, adaptive reading.
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Pashler and colleagues evaluate the educational claim that students learn better when instruction is matched to a diagnosed learning style. They distinguish preferences and differences in aptitude from the stronger “meshing” hypothesis used to justify tailored teaching.
A valid test requires classifying learners by style, randomly assigning learners within each style to contrasting instructional methods, using a common outcome measure, and finding a crossover interaction in which each group learns best from its matched method. Their review found that very few studies used this design and that the qualifying evidence did not support broad classroom use of learning-style assessments; some appropriate studies directly contradicted the hypothesis. The authors do not claim that learners are identical, that preferences are unreal, or that every possible interaction has been disproved. Rather, evidence was inadequate to justify the cost and instructional consequences of general matching programmes.
For educators, content, prior knowledge, accessibility, and well-supported teaching methods provide firmer grounds for choosing representations than labels such as visual or auditory learner.
Patall, Cooper, and Robinson meta-analyse 41 studies testing whether giving people choices affects intrinsic motivation and related outcomes. Across child and adult samples, choice generally increased intrinsic motivation, effort, task performance, and perceived competence, but effects varied substantially with the design and form of choice.
Motivation effects were stronger for instructionally incidental choices than for choices between activities, task versions, rewards, or other instructionally consequential options; they were also stronger when participants received a small number of successive choices, when choice was not followed by rewards, and when comparison conditions were highly controlling. Effects differed with age, setting, and how researchers equated the options available to choice and no-choice groups. The findings support autonomy as one influence on motivation, not the claim that any choice is beneficial. For educators, bounded and meaningful choice can support engagement when options are manageable and compatible with learning goals.
Excessive, trivial, confusing, or poorly structured options may impose costs, so choice should be designed rather than simply added.
Paulson, Paulson, and Meyer distinguish a genuine learning portfolio from an arbitrary folder of completed work. A portfolio is a purposeful collection showing a learner’s efforts, progress, and achievements; students participate in selecting contents, identify criteria for selection and quality, and reflect on the evidence.
The authors describe eight characteristics. Portfolios should contain self-reflection, involve students in choosing entries, remain distinct from cumulative records, convey the learner’s activities and development, and show growth through dated or sequenced work. Their purpose may change during the year, but students should control what becomes public. Portfolios also need information that allows readers to understand the work in context and should encourage students to see patterns in their learning.
The central value lies in joining assessment with instruction and making students participants rather than objects of evaluation. For educators, the implication is that simply digitising or collecting assignments is insufficient: a portfolio requires an explicit purpose, selection decisions, criteria, commentary, comparison over time, and dialogue about next steps.
Pekrun synthesises research on achievement emotions and explains how enjoyment, hope, pride, anxiety, shame, anger, hopelessness, and boredom shape learning. Emotions direct attention, alter motivation and effort, influence strategy choice and self-regulation, and contribute to well-being and identity.
Their effects depend not only on positive or negative valence but also on activation and the task context: activating emotions can energise action, while deactivating emotions can reduce engagement. The booklet’s control-value perspective proposes that students’ emotions arise largely from perceived control over learning and the value attached to activities and outcomes. It offers ten practice principles concerning competence, task value, classroom demands, goal structures, assessment, feedback, emotional regulation, teacher emotions, peers, and family influences. Teachers cannot simply demand enjoyment or remove every uncomfortable feeling.
They can, however, strengthen clear expectations, attainable challenge, autonomy, supportive feedback, meaningful tasks, and constructive responses to error. The guidance is a research synthesis whose recommendations require adaptation to learners, subjects, cultures, and local conditions.
This National Research Council report integrates cognitive science and measurement to propose a new foundation for educational assessment. Its central “assessment triangle” requires coherence among cognition, observation, and interpretation.
Cognition specifies a model of how knowledge and competence develop in a domain; observation designs tasks and situations that can reveal relevant thinking; interpretation uses evidence from responses to support defensible inferences. Weak alignment among these components limits validity, regardless of statistical sophistication. The report examines learning and expertise, task design, modern measurement models, classroom assessment, large-scale testing, technology, equity, and research needs. It argues that assessments should reveal structures of understanding, strategies, misconceptions, and progress rather than sample disconnected facts.
Formative and summative purposes impose different constraints, and scores valid for one purpose may not support another. For educators and designers, the practical message is to begin with a substantive model of learning, elicit diagnostic evidence through purposeful tasks, interpret it cautiously, and continually evaluate fairness, consequences, and the fit between claims and evidence.
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Each entry identifies the volume, edition, chapter or appendix in which the work appears.
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