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Browse the scientific research and professional literature used across all seven volumes of The Science of Learning for Educators.
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5 references
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- Vol 3 TE: App C
conceptual changecognitive apprenticeshipscaffoldingknowledge buildingmetacognitioncollaborative learningdesign-based researchdisciplinary practicesEdited book Evidence summaryAt a glance
Sawyer’s handbook presents the learning sciences as an interdisciplinary, design-oriented field concerned with how people learn in classrooms, communities, workplaces, and technology-rich settings.
Key ideas
Across cognitive, sociocultural, and computational traditions, chapters emphasize that robust learning involves organized knowledge, participation in meaningful practices, collaboration, metacognition, and the ability to use understanding in new situations. The field studies learning as it unfolds and also designs environments intended to improve it, often through iterative design-based research. Core topics include conceptual change, cognitive apprenticeship, scaffolding, discourse, knowledge building, collaborative learning, disciplinary practices, assessment, informal learning, and educational technology. The handbook rejects a simple opposition between instruction and discovery: effective environments provide structure, representations, feedback, and guidance while learners actively explain, inquire, create, and regulate.
Why it matters
Its practical contribution is a set of complementary theories and methods for connecting fine-grained learning processes with the redesign of curricula, tools, classrooms, and educational systems.
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- Vol 2 RE: Chapter 14, App D, App E
- Vol 3 RE: Chapters 2, 13
conceptual changecognitive apprenticeshipscaffoldingknowledge buildingmetacognitioncollaborative learningdesign-based researchdisciplinary practicesEdited book Evidence summaryAt a glance
Sawyer’s handbook presents the learning sciences as an interdisciplinary, design-oriented field concerned with how people learn in classrooms, communities, workplaces, and technology-rich settings.
Key ideas
Across cognitive, sociocultural, and computational traditions, chapters emphasize that robust learning involves organized knowledge, participation in meaningful practices, collaboration, metacognition, and the ability to use understanding in new situations. The field studies learning as it unfolds and also designs environments intended to improve it, often through iterative design-based research. Core topics include conceptual change, cognitive apprenticeship, scaffolding, discourse, knowledge building, collaborative learning, disciplinary practices, assessment, informal learning, and educational technology. The handbook rejects a simple opposition between instruction and discovery: effective environments provide structure, representations, feedback, and guidance while learners actively explain, inquire, create, and regulate.
Why it matters
Its practical contribution is a set of complementary theories and methods for connecting fine-grained learning processes with the redesign of curricula, tools, classrooms, and educational systems.
View or buy the cited work >>Read a similar article free online >>
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- Vol 4 RE: Chapter 6
self-regulated learningsocially shared regulationcollaborative learningadaptive learning environmentslearning analyticsfeedback scaffoldinghelp seekinglearner agencyJournal article Evidence summaryAt a glance
Sharma, Nguyen, and Hong systematically review empirical studies connecting adaptive digital learning environments with self-regulated and socially shared regulation in collaborative learning. Their search and coding identify seven recurring objectives: feedback and scaffolding, regulatory skills and strategies, learning trajectories, collaborative processes, adaptation and regulation, self-assessment, and help seeking.
Key ideas
Adaptive systems can personalize prompts, representations, feedback, and paths, while collaboration introduces collective planning, monitoring, control, and reflection that cannot be inferred from individual traces alone. The literature uses heterogeneous theoretical models, settings, technologies, and measures, limiting cumulative conclusions. Important gaps include few informal-learning studies, weak theoretical convergence between individual and shared regulation, and difficulty monitoring how regulation is coordinated across group members. The authors call for clearer constructs, multimodal and process-sensitive measures, and designs that support rather than automate learner agency.
Why it matters
The review provides a map of opportunities but does not establish that adaptation by itself improves regulation or collaboration.
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- Vol 2 RE: Chapter 5, App C, App D
- Vol 2 TE: App B
project-based learningdriving questionsconstructive investigationstudent autonomyinquiry scaffoldingcollaborative problem solvingauthentic assessmentproject implementationReport Evidence summaryAt a glance
Thomas reviews research available through 1999 on project-based learning and related approaches at elementary and secondary levels. To distinguish projects from ordinary activities, he proposes five criteria: projects are central to the curriculum, organised around a driving question, involve constructive investigation, give students substantial autonomy, and have realistic rather than purely school-like features.
Key ideas
The review traces theoretical roots, implementation practices, student characteristics, and evidence about effectiveness. It reports promising findings for content learning, problem solving, self-direction, collaboration, motivation, and attitudes, but emphasises that the evidence base was then small, methodologically uneven, and complicated by varied definitions and bundled programme components. Implementation is demanding: students may struggle with inquiry, time management, technology, and teamwork, while teachers must balance guidance with autonomy, assess complex work, and manage resources and schedules. The report therefore does not justify treating any extended assignment as proven PBL.
Why it matters
For educators, it supports carefully designed projects aligned with important knowledge, explicit scaffolding, meaningful questions, and assessment of both products and learning processes, alongside realistic expectations about training and classroom conditions.
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- Vol 5 RE: Chapter 10
differentiated instructionlearner variabilityhigh-quality curriculumflexible groupingresponsive assessmentlearning environmentinstructional scaffoldinginclusive practiceBook Evidence summaryAt a glance
Tomlinson develops a model of classrooms that respond systematically to differences in readiness, interest, experience, language, and preferred ways of learning while preserving ambitious common goals. Differentiation rests on high-quality curriculum: clear concepts and essential understandings, engaging tasks, and assessment aligned with what matters.
Key ideas
Teachers use ongoing evidence to vary content, learning processes, products, support, pace, materials, and grouping rather than assign permanent ability tracks. The second edition places particular emphasis on learning environments characterised by respect, belonging, shared responsibility, growth, and teaching that “teaches up”—planning rich, complex work first and adding scaffolds so more learners can participate. Detailed classroom cases illustrate how teachers build routines, use flexible groups, connect learning with students’ interests, and balance whole-class community with individual response. Differentiation is not individualisation for every moment, a collection of entertaining activities, or easier work for selected learners.
Why it matters
It is continual adjustment of curriculum, instruction, environment, and assessment so each learner encounters appropriate challenge and support. The book also addresses standards, accountability, technology, English learners, and the gradual professional learning required to make responsive practice coherent and manageable.
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Evidence summaries explain the central idea and why the source matters to educators.
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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.
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