Where it is used
Each entry identifies the volume, edition, chapter or appendix in which the work appears.
The evidence behind the series
Follow the research.
Explore every source.
Browse the scientific research and professional literature used across all seven volumes of The Science of Learning for Educators.
7book volumes
8author ranges
1searchable library
Search the collection
Find a paper, author or idea.
Choose an author range, search a title or concept, or narrow the collection by source type. Open any result to see where it appears in the books, read its evidence summary and follow available source links.
44 references
-
- Vol 4 RE: Chapter 24
emotional regulationhuman flourishingeudaimonic well-beingself-determinationvalues-based actionmindful parentingcultural responsivenessJournal editorial Evidence summaryAt a glance
This editorial introduces a Frontiers research topic on emotional regulation and human flourishing, arguing for dialogue among psychological, philosophical, educational, and ethical perspectives.
Key ideas
Rather than treating emotions simply as disruptions to reason or defining regulation only as feeling better, the contributors ask how emotional responses can be understood and shaped in relation to meaningful goals, motives, values, action, virtue, and conceptions of a good life. It surveys the collection’s work on affectivity beyond narrow emotion categories, comparisons of contemporary regulation models with classical thought, self-determination and eudaimonic functioning, Magda Arnold’s idea of the self-ideal, mindful parenting, culture, and educational implications. A recurring distinction is between hedonic aims, such as pleasure or immediate relief, and flourishing understood as growth, meaning, relationships, agency, and living well. The article is an editorial synthesis, not an empirical test or intervention review, so its claims organise questions and perspectives rather than establish causal effects.
Why it matters
For educators, it suggests that emotional learning should include appraisal, reflection, motivation, values, and constructive action, while remaining sensitive to culture and avoiding reduction of well-being to emotional control.
-
- Vol 7 RE: Chapter 12, App D
digital dividedigital inequalitytechnology accessdigital skillspatterns of technology usedigital inclusiontechnology-mediated outcomesBook Evidence summaryAt a glance
Van Dijk argues that the digital divide is not a binary between people who do and do not possess an internet connection. Digital inequality unfolds through a cumulative sequence: motivation to engage with technology, material access to suitable devices and connections, operational and information skills, patterns of use, and the benefits people obtain.
Key ideas
As connectivity spreads, inequalities can shift toward device quality, autonomy of access, skills, breadth and purpose of use, and outcomes in education, work, health, civic participation, and relationships. These gaps interact with differences in income, education, age, gender, disability, ethnicity, geography, and social resources, potentially reproducing or deepening wider inequality. The book reviews theories, international evidence, measurement problems, and policies, rejecting both technological optimism and the idea that access alone solves exclusion. Interventions need coordinated infrastructure, affordable and appropriate equipment, accessible design, relevant content and services, sustained skills development, support networks, and institutional change.
Why it matters
For education, counting connected learners is therefore insufficient: educators must examine whether students have reliable devices, privacy, support, critical and creative skills, meaningful opportunities to use technology, and equitable gains from participation.
View or buy the cited work >>Read a similar article free online >>
-
- Vol 4 RE: Chapter 6
self-regulated learningmetacognitive monitoringcue utilizationcalibration of judgmentsmetacognitive promptsscaffold fadingdiagnostic feedbackJournal article Evidence summaryAt a glance
Van Merriënboer and de Bruin use a cue-utilization framework to explain how learners monitor and control their own learning. Their central point is that judgments are only as useful as the cues on which learners base them: familiarity, ease, effort, affect, or task features may be available, but they do not all predict later performance equally well.
Key ideas
Reviewing seven contributions to a special issue, the authors argue that instruction should help learners notice and use more diagnostic cues, make better control decisions, and address the full learning cycle rather than monitoring or reflection alone. They propose metacognitive prompts and “second-order” scaffolding that gradually fades as self-regulation develops. They also identify affective states as potentially informative cues whose interaction with cognitive cues remains insufficiently understood. The article is a conceptual synthesis, not an intervention trial.
Why it matters
For practice, it suggests designing prompts, feedback, task sequences, and technology around evidence that helps students calibrate judgments and choose effective next steps, while progressively transferring control to the learner.
-
- Vol 4 RE: Chapter 18
basic psychological needsautonomy supportcompetence satisfactionrelatednessneed frustrationself-determination theoryinformative feedbackJournal article Evidence summaryAt a glance
Vansteenkiste, Ryan, and Soenens review Basic Psychological Need Theory, a component of self-determination theory, and clarify claims about autonomy, competence, and relatedness. A basic need is an essential psychological nutrient: its satisfaction supports growth, integration, and well-being, whereas its frustration predicts ill-being and maladjustment.
Key ideas
Autonomy concerns volition and self-endorsement, not independence; competence concerns effectiveness and mastery; relatedness concerns mutual care and belonging. Need satisfaction and need frustration are related but not simple opposites, and actively controlling, rejecting, or chaotic environments can frustrate needs rather than merely fail to satisfy them. The authors examine universality across cultures, development, personality, and contexts; relations among needs; candidate additional needs; measurement; and dynamic interactions between people and environments. People may value, desire, or consciously notice needs differently, but these variations do not make the underlying benefits optional.
Why it matters
For education, autonomy support, optimal structure and challenge, informative feedback, and warm involvement can work together. Choice alone is insufficient, and practices that pressure, shame, exclude, or create helplessness may undermine motivation and wellness even when short-term compliance increases.
-
- Vol 4 RE: Chapters 6, 12
metacognitive regulationself-regulated learningcomprehension monitoringstrategy selectionerror diagnosisthink-aloud protocolscalibrated independenceBook chapter Evidence summaryAt a glance
Veenman examines how learners monitor and regulate cognition, clarifying differences between metacognition and self-regulated learning. Regulation includes orienting to a task, planning, monitoring comprehension and progress, checking results, diagnosing errors, choosing or changing strategies, and evaluating performance.
Key ideas
Learners often possess relevant knowledge yet fail to deploy it conditionally and in sequence; inaccurate monitoring then prevents effective control. Skills are best studied during task performance because questionnaires about typical behaviour may not correspond to on-line regulation. Think-aloud protocols, observations, log files, traces, and performance measures reveal different processes and should be triangulated. Instruction is most effective when regulatory actions are explicitly modelled and explained, practised within subject matter over time, prompted at appropriate moments, followed by feedback, and gradually transferred to learners. Merely telling students to “be metacognitive” or providing decontextualised study tips is unlikely to create a coherent programme of self-instructions.
Why it matters
Teachers also need to distinguish a subject-matter gap from a regulation problem. The chapter’s practical aim is calibrated independence: learners should notice task demands, accurately judge their state, select appropriate actions, and evaluate their consequences without external prompting.
View or buy the cited work >>Read a similar article free online >>
-
- Vol 4 RE: Chapters 4, 7, App A, App C
- Vol 4 TE: App C
metacognitive knowledgemetacognitive skillsdomain specificityonline process measuresstrategy transfermetacognitive developmentmeasurement triangulationJournal article Evidence summaryAt a glance
Veenman, Van Hout-Wolters, and Afflerbach introduce Metacognition and Learning by identifying ten conceptual and methodological issues. They distinguish metacognitive knowledge—what learners know about persons, tasks, and strategies—from skills used to plan, monitor, regulate, and evaluate cognition.
Key ideas
These components are related but not identical, and knowing an effective strategy does not ensure its timely use. The article examines whether metacognition is domain-general or domain-specific, how it relates to intelligence, how knowledge and regulation develop, and whether general regulatory skills transfer across tasks. It also considers feelings and judgements that cue control, conscious versus less conscious processes, verbalisation, measurement, and instruction. Common measures—questionnaires, interviews, think-alouds, observations, traces, and performance indicators—capture different aspects and can disagree; on-line process measures are especially important for studying actual regulation.
Why it matters
The authors argue that metacognitive skill contributes to learning beyond intellectual ability but develops through experience and explicit support. Instruction should embed modelling, guided practice, feedback, and gradual independence in meaningful subject matter, while researchers should triangulate methods and avoid treating a broad construct as one interchangeable score.
-
- Vol 6 PE: App E
- Vol 6 RE: Chapters 1, 3, 4, 6
professional learning communitiescollaborative inquiryreflective dialoguedeprivatised practicecollective responsibilityevidence-informed teachingstudent achievementJournal article Evidence summaryAt a glance
Vescio, Ross, and Adams review eleven studies examining whether professional learning communities change teaching and student learning. Across varying models, effective communities share a focus on student learning, collaborative inquiry, reflective dialogue, deprivatised practice, and collective responsibility rather than simply scheduling teachers to meet.
Key ideas
The reviewed evidence suggests participation can make teaching more student-centred, strengthen collaboration, increase attention to evidence, and support changes in classroom culture and practice. Eight studies included some student-achievement information, and the limited results were generally positive. The authors nevertheless emphasise the evidence base’s weaknesses: few studies moved beyond self-report, designs and measures varied, causal claims were difficult, and “PLC” described heterogeneous interventions. Collegiality alone is not enough; communities can reinforce existing assumptions unless conversation is disciplined by evidence about learners, external knowledge, and serious examination of practice.
Why it matters
For leaders, useful PLCs require time, trust, shared purpose, access to relevant data and expertise, and norms that make classroom practice discussable. Evaluation should document the mechanisms and quality of collaboration, changes in teaching, and credible learner outcomes over time.
-
- Vol 5 RE: Chapters 12, App C
authentic assessmenthigher education assessmentemployability skillscomplex performance tasksfeedback literacylearner agencyassessment alignmentinclusive assessmentJournal article Evidence summaryAt a glance
Vlachopoulos and Makri review 94 articles on authentic assessment in higher education, focusing on implementation, development of employability-oriented “21st-century” skills, and implications for students, educators, institutions, and policy. Authentic tasks ask learners to apply knowledge, skills, and attitudes in complex situations resembling relevant professional or real-world practice rather than reproduce information in decontextualised tests.
Key ideas
Across disciplines, reported benefits include problem solving, critical and creative thinking, collaboration, communication, self-regulation, engagement, feedback literacy, and links between academic learning and future work. Effective designs use clear criteria, realistic complexity, meaningful audiences or products, iterative feedback, reflection, learner agency, and alignment among outcomes, teaching, and assessment. Challenges include workload, scalability, consistency and reliability, student resistance, unfamiliarity, unequal resources, accessibility, technology, academic integrity, staff expertise, and institutional rules. The review calls for training, adequate time and infrastructure, stakeholder involvement, inclusive design, quality assurance, and policies flexible enough to support disciplinary variation.
Why it matters
Because the evidence consists largely of heterogeneous reports and perceptions, authentic appearance alone should not be assumed to cause transferable skills; designs need explicit goals and credible evaluation of learning, equity, and longer-term outcomes.
-
- Vol 7 RE: Chapter 8, App D
blended learningstudent performancemeta-analysiscomputer-mediated instructionface-to-face instructiondisciplinary moderationinstructional alignmentJournal article Evidence summaryAt a glance
Vo, Zhu, and Diep meta-analyse higher-education studies comparing blended learning—combinations of face-to-face and computer-mediated instruction—with conventional classroom teaching. The analysis includes 51 independent effect sizes based on objective course-performance outcomes.
Key ideas
The random-effects mean favours blended learning by a small but statistically significant amount, Hedges’ g approximately 0.385. Discipline moderates the result: the estimated effect is larger in STEM fields, about 0.496, than in non-STEM fields, about 0.210. By contrast, whether end-of-course performance was measured through one-time or multiple-component assessment did not significantly explain differences. The authors caution that “blended” designs vary in pedagogy, technology, balance of modes, and implementation, so the average should not be read as proof that adding an online component automatically improves achievement. Study quality, selection, and contextual variation also constrain causal interpretation.
Why it matters
For course design, the finding supports purposeful integration rather than substitution: online and classroom elements should have complementary functions, remain aligned with learning goals and assessment, and be evaluated in their discipline and learner context. More research should identify which instructional features produce benefits.
-
- Vol 2 RE: Chapter 2, 4, App F
- Vol 2 TE: App B
- Vol 3 RE: Chapters 1, 3, 7, 11, App A
- Vol 3 TE: App C
- Vol 4 RE: Chapters 1, 7, 14, 16, 21, App C
- Vol 4 TE: App C
cultural mediationhigher psychological processesinternalisationzone of proximal developmentsocial interactionlanguage mediationguided participationcultural toolsBook Evidence summaryAt a glance
This collection presents selections from Vygotsky’s work on the social and cultural formation of higher psychological processes. Human action is mediated by tools and signs, especially language; through participation with others, children appropriate culturally developed ways of attending, remembering, reasoning, and regulating behaviour.
Key ideas
Internalisation is not simple copying from outside to inside but transformation of socially organised activity. The book contrasts development demonstrated independently with the zone of proximal development: functions still developing that become visible when a learner acts with guidance or capable peers. Learning within this zone can lead development rather than merely follow completed maturation. Chapters also examine perception and attention, memory, methods for studying development as a process, make-believe play, and the prehistory of written language. Vygotsky’s analyses are theoretical and historical, not a modern trial of a named classroom technique, and “scaffolding” is later terminology.
Why it matters
For educators, the work supports attention to dialogue, cultural tools, joint activity, purposeful assistance, and transformation of participation. It cautions against estimating potential only from unaided performance or treating cognition as isolated from social relations and cultural history.
View or buy the cited work >>Read a similar article free online >>
-
- Vol 3 RE: Chapters 3, 4
- Vol 4 TE: App C
- Vol 5 TE: App C
- Vol 7 PE: App D
- Vol 7 RE: Chapter 6
peer interactionsmall-group learningelaborated explanationsconceptual helpindividual accountabilitystatus effectsgroup discoursehelp-seeking sequencesJournal article Evidence summaryAt a glance
Webb reviews how forms of interaction—not group work itself—predict learning in peer groups. A central distinction is between answers or low-level assistance and elaborated explanations that show reasoning, connect ideas, or describe how to proceed.
Key ideas
Receiving help supports learning when it is relevant, understandable, and explanatory, and when the recipient attends to it and applies it independently. Giving explanations can also benefit the helper through organisation and elaboration of knowledge. Unanswered requests, inappropriate responses, passive participation, and copying without understanding are unlikely to help. Interaction patterns vary with prior achievement, gender, personality, group composition, task structure, status, and social dynamics, so observed outcome differences cannot be attributed to one group label alone. The review highlights sequences of behaviour—request, response, interpretation, application, and follow-up—as more informative than counts of talk.
Why it matters
For educators, productive collaboration requires tasks worth explaining, norms for requesting and offering conceptual help, individual accountability, equitable access to participation, monitoring of status effects, and teaching students how to respond to assistance. Assessment should examine both group discourse and what individuals can subsequently do without help.
View or buy the cited work >>Read a similar article free online >>
-
- Vol 4 RE: Chapters 1, 2, 7
- Vol 4 TE: App C
learning strategiesrehearsal strategieselaboration strategiesorganization strategiescomprehension monitoringaffective strategiesconditional knowledgestrategy transferBook chapter Evidence summaryAt a glance
Weinstein and Mayer define learning strategies as behaviors and thoughts learners use during learning with the intention of influencing encoding and retrieval.
Key ideas
Their taxonomy distinguishes rehearsal, elaboration, and organization strategies for basic and complex tasks, alongside comprehension monitoring and affective or motivational strategies. Rehearsal maintains or selects information; elaboration connects new material with prior knowledge through paraphrase, imagery, examples, or questions; organization identifies structure and relationships; monitoring checks understanding and directs repair; affective strategies manage attention, anxiety, motivation, and study conditions. Strategy instruction should address more than what a technique is. Learners need procedural knowledge for carrying it out, conditional knowledge about when and why it is useful, practice on authentic tasks, feedback, and support for transfer.
Why it matters
The chapter’s enduring contribution is to connect instructional methods with learners’ active information processing while recognizing that possessing a strategy does not ensure its deliberate, motivated, and context-appropriate use.
View or buy the cited work >>Read a similar article free online >>
-
- Vol 5 RE: Chapter 15
generative artificial intelligencehigher education assessmentassessment designprocess-focused assessmentcareer-oriented competencieslifelong learning skillsresponsible ai usemixed-method researchJournal article Evidence summaryAt a glance
Weng and colleagues review 34 studies connecting generative AI, higher-education assessment, and learning outcomes. Using a five-stage scoping-review framework, they identify three approaches: traditional assessment, innovative or refocused assessment, and GenAI-incorporated assessment.
Key ideas
They highlight two emerging outcome clusters—career-oriented competencies and lifelong-learning skills—reflecting emphasis on working productively and critically with AI. Most included studies use qualitative, exploratory, descriptive, ethnographic, or phenomenological designs. The resulting map describes research directions rather than establishing that one approach improves learning. The authors argue that traditional methods alone are poorly suited to contexts where students can generate polished products, while authentic, process-focused, and AI-incorporated designs may make learning more visible. They call for research on combinations of approaches, relationships between designs and new outcomes, and more quantitative and mixed-method studies.
Why it matters
For educators, the review supports clarifying which human learning an assessment should evidence, attending to process and product, and teaching responsible AI use. Institutions should avoid replacing educational judgement with detection and instead align policy, graduate capabilities, task design, and evidence of learning.
-
- Vol 3 RE: Chapter 15
social learning spacesvalue creationlearning-to-practice translationaspiration framingcontribution analysislearning evaluationfeedback loopsBook Evidence summaryAt a glance
Wenger-Trayner and Wenger-Trayner recast social learning around people’s capacity to make a difference that matters to them and others. A social learning space is not defined merely by membership or information exchange; it forms when participants engage uncertainty together and use one another’s experience to shape action.
Key ideas
The book develops four learning modes: generating value through interaction, translating learning into practice, framing aspirations and challenges, and evaluating what difference learning makes. Its value-creation framework traces cycles from immediate experiences and useful knowledge through application, improved performance, strategic change, and transformations in how success is understood. Flows and feedback loops connect learning spaces with settings where participants act. Evaluation combines stories and indicators to test plausible contributions rather than claiming simple attribution for complex outcomes. This is a conceptual and practical framework, not a controlled effectiveness study.
Why it matters
Facilitators can use it to clarify intended value, notice whose aspirations count, collect evidence across time, examine blocked translations into practice, and adapt activities. The approach treats participants as agents of learning and evaluation rather than passive programme recipients.
View or buy the cited work >>Read a similar article free online >>
-
- Vol 6 RE: Chapters 1, 2, 10, App A, App B, App D, App E
communities of practicesocial participationpractice-based learningparticipation and reificationidentity developmentnegotiated meaningboundary crossinglegitimate participationBook Evidence summaryAt a glance
Wenger develops a social theory in which learning is participation in practice rather than only the acquisition of information by individuals. Communities of practice emerge as people pursue shared enterprises, negotiate how to act, and build repertoires of language, routines, artefacts, stories, and concepts.
Key ideas
Meaning arises through a dual process of participation and reification: people engage with one another while also producing forms that stabilise experience. Learning changes both practice and identity, as participants follow trajectories, encounter regimes of competence, and negotiate membership across boundaries. The theory therefore connects community, practice, meaning, and identity without treating communities as automatically harmonious or formally designed teams. Power, marginality, non-participation, and tensions between local practice and wider institutions remain consequential. The book is a conceptual synthesis grounded partly in ethnographic material, not an experimental comparison of instructional methods.
Why it matters
For education and professional learning, it suggests examining what learners are becoming able to do and who they are becoming through participation. Productive design can support mutual engagement, meaningful joint work, access to practice, boundary connections, and opportunities for newcomers to develop recognised competence.
View or buy the cited work >>Read a similar article free online >>
-
- Vol 5 RE: Chapter 11
teacher–student relationshipsmotivational contextsemotional safetybelongingsocial supportgoal internalisationteacher expectationsstudent perspectivesBook chapter Evidence summaryAt a glance
Wentzel reviews teacher–student relationships as motivational and developmental contexts rather than additions to instruction. Across attachment, self-determination, social-support, and socialisation perspectives, effective relationships provide emotional safety, trust, belonging, instrumental help, clear communication, and demanding expectations.
Key ideas
These provisions can support students’ well-being and sense of self, internalisation of academic and social goals, engagement, interest, competence, and productive behaviour. The chapter broadens attention beyond affective closeness: teachers also communicate norms, model values, organise participation, and create an ethos of care and community. Associations between perceived support and outcomes are substantial across the reviewed literature, but do not prove that one relational behaviour causes achievement, and relationship meanings vary with age, culture, student characteristics, and context. For educators, caring and high expectations should be enacted through reliable, equitable practices—knowing students, listening, responding to help seeking, explaining decisions, offering useful assistance, and maintaining respectful standards.
Why it matters
Evaluation should examine multiple relationship provisions and student perspectives, while recognising reciprocal influence: student behaviour shapes teacher responses as teacher behaviour shapes motivation.
View or buy the cited work >>Read a similar article free online >>
-
- Vol 2 RE: App D
- Vol 4 RE: App C
- Vol 5 RE: Chapters 2, 3, 4, 10, 15
- Vol 5 TE: App C
formative assessmentlearning intentionssuccess criteriafeedback for learningclassroom discussionpeer assessmentstudent self-regulationinstructional decision makingBook Evidence summaryAt a glance
Wiliam treats formative assessment as a process for improving decisions during learning, not as a particular test or an extra event after teaching. Evidence becomes formative when teachers, learners, or peers elicit and interpret it and use it to choose better next steps than they would otherwise have taken.
Key ideas
The book organises practice around five strategies: clarify learning intentions and success criteria; engineer discussions and tasks that reveal understanding; provide feedback that moves learning forward; activate students as instructional resources for one another; and develop students as owners of their learning. Practical techniques—including diagnostic questions, all-student response systems, peer assessment, and comments focused on improvement—serve these strategies rather than functioning as universal recipes. Their value depends on what evidence they produce and how instruction changes in response. The book synthesises research and classroom practice; it is not one controlled trial of all its techniques.
Why it matters
For teachers, the central design question is what students are thinking now. Useful routines make that thinking visible, involve every learner, create actionable information, and preserve responsibility for the intellectual work with students.
View or buy the cited work >>Read a similar article free online >>
-
- Vol 5 TE: App C
school improvementcurricular coherenceknowledge-rich curriculumteacher professional developmentinstructional expertiseopportunity costsscalabilityimplementation feasibilityBook Evidence summaryAt a glance
Wiliam examines prominent school-improvement proposals by asking not only whether an intervention can work, but how large its likely effect is, what it costs, whether it can scale, and what must be displaced to implement it. He argues that familiar policies—recruiting supposedly smarter teachers, dismissing weaker teachers, performance pay, smaller classes, copying high-performing systems, and expanding school choice—offer limited or impractical routes to system-wide gains when these constraints are considered.
Key ideas
His preferred priorities are a coherent, knowledge-rich curriculum and sustained improvement of the teachers already working in schools. Curriculum matters because knowledge supports later thinking and cumulative learning; teacher development matters because instructional expertise can continue growing throughout a career. The book advocates school-based professional learning that is gradual, choice-sensitive, evidence-informed, and supported by peers, rather than one-off training. It is an argumentative synthesis focused substantially on the United States, not a trial comparing a complete reform package.
Why it matters
Leaders can apply its decision framework by comparing opportunity costs, feasibility, and expected impact, protecting curricular coherence, and creating routines in which every teacher deliberately improves practice over time.
View or buy the cited work >>Read a similar article free online >>
-
- Vol 7 RE: Chapter 12, App D
artificial intelligence in educationeducational technology historydata-intensive policyalgorithmic governanceeducational datatechnology companiesclassificationeducational inequalityJournal article Evidence summaryAt a glance
Williamson and Eynon place contemporary artificial intelligence in education within a longer history rather than treating it as a sudden technical revolution. This editorial traces connections among academic AIED research, commercial educational technology, data-intensive policy, and the growing involvement of major technology companies.
Key ideas
The authors argue that accounts focused only on new algorithms can obscure older ambitions to automate teaching, model learners, and optimise educational decisions. They identify missing links between technical research and scholarship on the social, political, and economic conditions through which systems are designed and adopted. Questions of power, classification, infrastructure, labour, commercial interests, and unequal consequences therefore belong inside analysis of educational AI, not outside it. The article is an agenda-setting editorial, not an evaluation showing that a particular AI application improves learning.
Why it matters
Its practical message is to examine claims of novelty historically, investigate who defines educational problems and desirable futures, and combine technical inquiry with critical social research. This broader perspective can expose contingencies and make alternative, more educationally and publicly accountable futures imaginable.
-
- Vol 1 RE: Chapters 2, 5, App B
cognitive sciencememory and thinkingfactual knowledgeconcrete examplesdeliberate practicecritical thinkingknowledge transfercognitive loadBook Evidence summaryAt a glance
Willingham translates nine principles from cognitive science into implications for teaching. He argues that people are curious but effortful thinking is slow and uncertain, so problems engage students when success seems attainable and relevant knowledge is available.
Key ideas
Memory is the residue of thought: learners remember what they attend to and think about, making meaningful questions more important than entertaining presentation alone. Factual knowledge supports comprehension, reasoning, and further learning; abstract ideas are generally understood through concrete examples; and proficiency requires extended practice. The book distinguishes disciplinary thinking from generic critical-thinking skills, questions matching instruction to supposed learning styles, and explains how knowledge and practice contribute to learner differences. Its chapters synthesise research rather than reporting one intervention trial, and applications require teacher judgement.
Why it matters
Practical implications include designing problems at an appropriate level, organising material around coherent meaning, revisiting essential knowledge over time, varying examples to support transfer, and using stories or structures that direct thought toward what should be remembered. Cognitive principles constrain good teaching, but do not prescribe one method for every classroom.
View or buy the cited work >>Read a similar article free online >>
A transparent research trail
More than a bibliography.
What it contributes
Evidence summaries explain the central idea and why the source matters to educators.
How to access it
Entries link to lawful full text where available, or to a publisher, library or purchase page.
Edition abbreviations
- TE
- Teacher Edition
- PE
- Practice Edition
- RE
- Research Edition
Citation checks
References are checked against publisher records, scholarly indexes, DOI or ISBN metadata, repositories and author records where available. An entry marked [Citation not verified] preserves the wording found in the relevant volume without attributing findings to an unconfirmed work.
From sources to a coherent pathway