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The evidence behind the series
Browse the scientific research and professional literature used across all seven volumes of The Science of Learning for Educators.
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61 references
Daly’s edited volume introduces social network theory and analysis as tools for understanding why educational reforms spread, stall, or change shape.
Formal organisational charts show assigned roles, but informal relationships determine where educators seek advice, exchange knowledge, build trust, and exert influence. The chapters use varied school and district studies to examine network structure, central actors, brokerage, strong and weak ties, trust, social capital, and the movement of ideas across boundaries. They show that technically sound reform plans can fail when relational conditions are ignored, while well-positioned connections can support collective learning and innovation. Network analysis is presented both as a research method and as a leadership lens, though mapping relationships must be handled ethically and interpreted in context.
For change leaders, the volume supports cultivating purposeful collaboration, connecting isolated expertise, distributing access to information, monitoring whose voices remain peripheral, and aligning formal structures with the relationships through which practice actually develops.
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Darling-Hammond and Adamson assemble research and policy analysis on performance assessments that ask students to investigate, create, explain, demonstrate, or apply knowledge rather than select answers.
Chapters review historical experience, current assessment systems, design quality, validity, reliability, equity for multilingual learners, effects on teaching and teacher learning, and the costs and benefits of richer assessment. The book argues that well-designed tasks can measure complex competencies—reasoning, communication, problem solving, and knowledge transfer—while also generating useful evidence for instruction. Performance assessment is not automatically superior: tasks require careful standards, moderation, scoring expertise, accessibility, and attention to opportunity to learn. Sustainable systems combine multiple measures and use assessment to support curriculum and professional capacity rather than merely rank schools.
For educators and policymakers, the volume provides frameworks and examples for balancing authenticity with comparability, investing in scoring and teacher learning, and evaluating consequences as well as technical quality.
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Darling-Hammond and Hyler consider what educator preparation and professional learning require during COVID-19 and beyond. The pandemic intensified demands to address academic disruption, social-emotional needs, inequitable access, trauma, and rapidly changing combinations of remote, blended, and classroom teaching.
The authors argue that systems should not respond with short-term deregulation or reduced preparation. Instead, they should invest in strong initial preparation grounded in learning and development, clinical practice, culturally responsive teaching, and effective uses of technology. They also call for professional learning organised around educators’ immediate problems of practice, mentoring and induction for novices, new leadership and specialist roles, and protected time for collaboration with colleagues, families, and community partners. The central claim is that resilience depends on professional capacity and supportive working conditions.
Recovery policies should therefore strengthen the educator learning continuum and enable collective adaptation rather than leaving individual teachers to improvise alone.
Darling-Hammond and colleagues translate an interdisciplinary synthesis of learning and development science into principles for educational practice.
Development is dynamic, shaped by interactions among biology, relationships, experiences, and context; adversity can disrupt learning, while supportive environments foster resilience and plasticity. The review organises evidence around four connected priorities: positive developmental relationships; safe, inclusive, identity-supportive environments; rich learning experiences that build on prior knowledge and promote active, collaborative, and meaningful work; and integrated systems of academic, social, emotional, and health support. It also discusses formative assessment, explicit teaching of learning strategies and social-emotional skills, culturally responsive practice, restorative approaches, and opportunities for agency. Rather than treating these as isolated programmes, schools should create coherent developmental ecosystems.
The article cautions that learners vary and contexts matter, so educators need flexible supports, strong family and community partnerships, and organisational conditions that allow adults to know students well and respond constructively.
Darling-Hammond, Hyler, and Gardner review thirty-five rigorous studies linking teacher professional development with changes in instruction and student outcomes. Across diverse programmes, they identify seven recurring features: a strong focus on curriculum content; active learning rather than passive reception; collaboration situated in teachers’ contexts; models and demonstrations of effective practice; coaching or expert support; opportunities for feedback and reflection; and sustained duration.
The report stresses that these elements work in combination and must fit curriculum, assessment, leadership, schedules, and local needs. One-off workshops rarely provide enough time to examine practice, try new approaches, analyse student work, and revise instruction. Effective systems also develop facilitators and protect collaborative time. The synthesis does not claim that any checklist guarantees impact; programme quality, implementation, context, and access matter.
It offers policymakers and leaders an evidence-informed framework for designing, selecting, funding, and evaluating professional learning that supports both teacher growth and ambitious student learning.
Datnow and Park examine how school leaders can move from possessing data to using evidence productively for improvement. Based on work in twelve schools, the book addresses the technical and social infrastructure of data-informed decision making: creating a shared purpose, selecting useful evidence, building accessible information systems, developing assessment literacy, organising collaborative inquiry, and translating findings into action.
Data use is not presented as automatic or neutral. Numbers require interpretation alongside professional knowledge and contextual evidence, and accountability pressures can produce compliance, blame, narrow measures, or strategic behaviour. Leaders therefore shape culture by protecting time, modelling inquiry, distributing expertise, encouraging disagreement, and keeping conversations focused on learning rather than punishment. The book offers tools and examples for establishing routines, asking better questions, monitoring implementation, and revising responses.
Its central message is that data become useful through relational trust, collective sense-making, and equitable attention to which students and outcomes are visible.
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Datnow and Park argue that teacher collaboration improves learning only when it has a clear educational purpose and supportive conditions. Drawing on in-depth studies of elementary schools, they examine teams working toward equity and excellence amid accountability demands, policy shifts, limited time, and differing beliefs.
Productive collaboration combines shared responsibility for students, relevant evidence, professional trust, coherent goals, substantive discussion of instruction, and willingness to work through disagreement. Simply scheduling meetings or requiring a protocol can produce superficial compliance if teachers lack agency, useful information, facilitation, or connection to classroom problems. The authors show how collaborative inquiry can deepen teacher learning, sustain motivation, and expose inequities, while also acknowledging emotional labour and conflict. Leaders should protect time, build relational conditions, connect team learning across the school, provide appropriate expertise, and avoid over-directing the work.
The book frames collaboration as disciplined professional learning rather than congenial conversation or administrative routine.
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Davis and Sumara explore complexity thinking as an orientation for educational research and practice. Learning systems—individuals, classrooms, schools, disciplines, and cultures—are nested, interacting, adaptive, and capable of producing patterns that cannot be reduced to the intentions or properties of separate parts.
Concepts such as emergence, self-organisation, feedback, diversity, redundancy, neighbour interactions, and enabling constraints challenge linear models in which a teaching input reliably causes a predetermined learning output. The authors do not offer complexity as a universal recipe or a metaphor to apply loosely. They examine its intellectual roots, methodological implications, and possibilities for understanding cognition, collective learning, curriculum, teaching, and inquiry. Educators can influence conditions for emergence without fully controlling outcomes: they can establish productive constraints, preserve diversity, connect ideas and participants, attend to multiple levels, and adapt responsively.
Researchers are likewise participants in evolving systems, so educational inquiry must remain reflexive, situated, and attentive to relationships and change over time.
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De Jong and van Joolingen review scientific discovery learning in computer simulations, where learners infer an underlying model by generating hypotheses, designing experiments, interpreting data, and regulating their inquiry. Simulations make variables manipulable and provide rapid feedback, but unguided discovery is often inefficient.
Learners may struggle to state testable hypotheses, design controlled experiments, interpret ambiguous results, connect evidence with hypotheses, plan sequences of inquiry, and monitor progress. Prior knowledge and systematic strategies strongly affect success. The authors organise these difficulties through the dual search spaces of hypotheses and experiments and review instructional supports such as direct background information, assignments, model progression, worked advice, hypothesis scratchpads, experiment-design tools, record keeping, and adaptive guidance. Support should preserve meaningful learner control while reducing unproductive search.
The review therefore rejects a simple opposition between instruction and discovery: effective simulation learning combines active investigation with scaffolds targeted to specific cognitive and metacognitive obstacles.
De Mooij and colleagues systematically review how multimodal data and artificial intelligence have been used to study self-regulated learning. They map studies onto a grid connecting cognitive, affective, metacognitive, and motivational processes with behavioural, contextual, physiological, and other data streams.
The review distinguishes unimodal, horizontal, vertical, and integrated analytic approaches and examines whether methods capture regulation as a temporal and sequential process across learning contexts. Research is moving beyond single self-report measures toward combinations such as log data, gaze, discourse, facial or physiological signals, and performance evidence. However, motivation and affect remain underrepresented, studies define and align modalities inconsistently, and conventional statistics are often used even when integrated temporal analysis is needed. AI offers possibilities for pattern detection but does not remove problems of construct validity, interpretation, privacy, or context.
The authors call for theoretically grounded measurement, transparent alignment of indicators with processes, stronger validation, and interdisciplinary designs that connect rich sensing with educationally meaningful support.
Deci and Ryan develop a theory of intrinsic motivation and self-determination that challenges accounts based only on reinforcement or drive reduction. People naturally seek competence and autonomy, but social conditions can support or undermine this tendency.
Events such as rewards, deadlines, surveillance, feedback, and choice affect motivation partly through how they alter perceived control and competence. The book reviews cognitive evaluation theory, organismic perspectives, attribution and information-processing accounts, and research on internalising extrinsic regulation. It then considers applications in education, psychotherapy, work, and sport. The authors distinguish acting with a sense of volition from behaviour experienced as pressured, even when both pursue the same outcome.
For education, the framework supports optimal challenge, informative rather than controlling feedback, meaningful rationales, opportunities for initiative, and relationships that make exploration safe. It also cautions that tangible rewards or competition can weaken intrinsic engagement when learners experience them as controlling rather than competence-supportive.
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Deci and Ryan integrate several strands of self-determination theory to explain the content and regulation of goal pursuit. They define autonomy, competence, and relatedness as basic psychological needs whose satisfaction supports growth, integrity, motivation, and wellbeing across contexts.
Behaviour may be intrinsically motivated or extrinsically regulated at differing levels of internalisation, from external pressure to personally endorsed and integrated action. Thus two people performing the same activity can experience very different motivation and outcomes. The content of aspirations also matters because goals centred on growth, relationships, and community are generally more conducive to need satisfaction than wealth, fame, or image. Social environments influence whether people engage willingly, internalise values, and persist.
Educational practice should combine structure with autonomy support: acknowledge perspectives, offer meaningful options, explain necessary limits, provide optimally challenging work and informational feedback, and cultivate belonging. The theory does not equate autonomy with independence; people can willingly rely on and collaborate with others.
DeLeeuw and Mayer investigate whether commonly used indicators of cognitive load capture a single general burden or distinguish intrinsic, extraneous, and germane processing. In two experiments, 155 low-knowledge college students learned how electric motors work from multimedia lessons.
During learning, the researchers collected mental-effort ratings and response times on a secondary visual-monitoring task; students also rated lesson difficulty and completed transfer tests. The measures correlated only weakly and responded differently to manipulations of redundancy and material complexity and to later transfer performance. The authors interpret this pattern as evidence that no single measure adequately represents all cognitive load and that different indicators may be sensitive to different forms of processing. The study is important for multimedia research because design claims often infer load without measuring it directly.
Its practical methodological lesson is to align a load measure with the particular theoretical component under investigation and, where possible, use multiple converging indicators rather than treating effort, difficulty, or response time as interchangeable.
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Dent and Koenka synthesise research on associations between self-regulated learning and academic achievement from elementary through secondary school. Separate meta-analyses examine metacognitive processes—such as planning, monitoring, and regulation—and cognitive strategies, including rehearsal, organisation, and elaboration.
Average correlations with achievement are positive but modest: approximately .20 for metacognitive processes and .11 for cognitive strategies. Effects vary systematically by the particular process or strategy, school level, subject, how self-regulation is measured, and how achievement is assessed. Measures closer to actual learning activity often differ from broad self-report questionnaires, illustrating why method matters. Because most included evidence is correlational, the synthesis does not establish that increasing a reported strategy directly causes higher achievement.
The findings nevertheless support teaching learners to plan, monitor understanding, select strategies, and adapt, while embedding regulation in subject-specific tasks. Researchers and schools should use multiple, context-sensitive measures and avoid treating self-regulation as a single stable trait.
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Dewey connects education with the renewal of shared social life. A democratic society is more than a form of government: it depends on broad participation, communication, and the capacity to revise common purposes through experience.
Education is therefore not preparation for a remote future but a continuing process of growth. Dewey rejects separations between mind and activity, knowledge and use, individual and society, or vocational and liberal learning. Learners develop through purposeful occupations and problems that connect present experience with organised subject matter. Teachers do not simply transmit information or leave children unguided; they design environments, select experiences, and help inquiry become increasingly disciplined and expansive. Curriculum should reveal relationships among knowledge, action, and social consequences.
The book also critiques education that reproduces fixed class divisions or treats students as passive recipients. Democratic schooling cultivates intelligent participation by joining individual development with cooperative activity, reflective thinking, and access to humanity’s accumulated resources.
Diamond reviews executive functions, the control processes that enable goal-directed thought and action. Three core functions are inhibitory control, which supports resisting impulses and selective attention; working memory, which keeps and manipulates information; and cognitive flexibility, which permits switching perspectives or strategies.
Higher-order reasoning, planning, and problem solving build on these foundations. Executive functions depend substantially on prefrontal systems, develop through childhood into early adulthood, and are sensitive to stress, sleep, loneliness, physical health, and emotional state. They predict important academic and life outcomes but are trainable to some extent. Programmes show the greatest benefits for learners with weaker initial skills, and gains require repeated challenge and practice; narrow training may not transfer broadly.
Diamond highlights approaches combining cognitive challenge with movement, play, mindfulness, arts, or supportive social participation. Educationally, the review favours safe relationships, manageable challenge, active practice, and attention to physical and emotional wellbeing rather than expecting executive control to improve through decontextualised drills alone.
Dignath and Büttner meta-analyse school-based interventions intended to foster self-regulated learning at primary and secondary levels. They examine effects on academic performance, cognitive and metacognitive strategies, and motivation, while coding programme features, theoretical orientation, instructional approach, duration, subject, and implementer.
Overall, interventions produce positive effects, but outcomes vary across age groups and designs. Programmes are more effective when strategy instruction is explicit, learners receive knowledge about why and when strategies work, and metacognitive reflection links planning, monitoring, and evaluation with actual subject tasks. Motivational components and opportunities for independent practice also matter. Primary-school interventions often show strong effects, demonstrating that self-regulation need not wait until adolescence.
Teacher-delivered programmes can be effective when teachers are prepared and implementation is well supported. The findings favour integrated, subject-embedded instruction over isolated study-skills advice, while heterogeneity and variable study quality caution against assuming that any single component or programme format will work equally well in every context.
Dillenbourg’s edited volume brings psychological and computational perspectives together to examine how people learn through interaction. Its starting point is that “collaborative learning” does not name one mechanism or method; it describes situations designed so that particular forms of interaction may occur, and those interactions may trigger learning processes.
Chapters address grounding and shared understanding, explanation, argumentation, mutual modelling, distributed cognition, computer-supported collaboration, and multi-agent learning. The book distinguishes conditions placed on a group—task symmetry, group size, roles, media, and timing—from the actual dialogue and coordination participants produce. Collaboration is therefore not guaranteed by seating learners together or giving them shared software. Researchers and designers must examine whether participants explain, negotiate, repair misunderstandings, coordinate representations, and build genuinely joint problem spaces.
For education, the volume supports carefully structured tasks and technologies that make thinking visible and interdependence productive, combined with analysis of interaction rather than assumptions that all group work is beneficial.
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Donohoo, Hattie, and Eells explain collective teacher efficacy as educators’ shared belief that, through coordinated action, they can positively affect student learning. The construct is associated with achievement, but the article treats efficacy as more than optimism or morale.
Strong-efficacy cultures attribute results partly to collective practice, examine evidence, maintain high expectations, and solve problems together rather than locating failure solely in students or families. Leaders can influence these beliefs by creating opportunities for teachers to experience and recognise collective success, use evidence to connect actions with outcomes, establish achievable yet challenging goals, and build trust for honest professional dialogue. Narratives of helplessness can be reset when teams identify what lies within their influence and test responses collaboratively. The authors caution implicitly against declaring efficacy into existence: belief becomes credible through mastery experiences and evidence.
The practical focus is on developing shared responsibility and disciplined inquiry, not promoting confidence detached from instructional knowledge, resources, or conditions.
Draganski and colleagues provide longitudinal evidence that learning a new skill can coincide with detectable structural change in the adult human brain. Adults who could not juggle were scanned before training, after learning a three-ball cascade, and again after a period without practice; non-training controls were scanned at comparable times.
Learners showed transient increases in grey-matter measures in bilateral regions associated with processing complex visual motion. The changes emerged after training and diminished after practice stopped, while controls did not show the same pattern. The study challenged the view that adult cortical plasticity is only functional by demonstrating macroscopic anatomical differences associated with experience. Its small sample, brief report, imaging method, and observational link between task learning and tissue measures limit mechanistic conclusions: the scans do not reveal a simple “growth” of knowledge or identify specific cellular changes.
Educationally, it supports lifelong plasticity but not claims that any short exercise broadly enlarges or upgrades the brain.
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A transparent research trail
Each entry identifies the volume, edition, chapter or appendix in which the work appears.
Evidence summaries explain the central idea and why the source matters to educators.
Entries link to lawful full text where available, or to a publisher, library or purchase page.
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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