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117 references
Bereiter argues that education needs a conception of mind and knowledge suited to societies in which creating and improving knowledge is central.
He distinguishes learning, understood as change in an individual's mental state, from knowledge building, understood as deliberate work on ideas that exist as public, improvable objects. Drawing on Popper's account of objective knowledge, the book treats theories, explanations, designs, and problems as conceptual artefacts communities can criticise and advance. Schools often remain focused on tasks, coverage, and individual achievement, whereas knowledge-building communities take collective responsibility for improving understanding. Technology can support this work but does not create the culture by itself.
For educators, the book recommends sustained work on authentic problems, visible communal ideas, explanation and theory improvement, epistemic agency, and assessment of progress in the quality and coherence of knowledge.
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Bereiter and Scardamalia challenge views of expertise as simply accumulated knowledge, automatic skill, or exceptional talent.
Their central idea is progressive problem solving: accomplished people reinvest the mental resources released by experience into redefining tasks, noticing deeper problems, and extending what they can do. Routine experts use efficiency to make work easier; adaptive or advancing experts seek more demanding goals and continue learning at the edge of competence. The authors draw across domains to examine pattern recognition, tacit and explicit knowledge, self-regulation, promisingness judgments, and the social conditions that support expertise. For educators, the account shifts attention from accelerating novices toward polished performance to cultivating habits of inquiry, reflection, and reinvestment.
Learners need strong foundations, but also opportunities to identify worthwhile problems, improve methods, and treat competence as a platform for further growth.
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Bereiter and Scardamalia compare knowledge building in education with knowledge creation in organisations.
Both involve purposeful creation and improvement of ideas, but they face different hills to climb. Education must move beyond treating knowledge as something students privately acquire and establish communities in which even young learners have epistemic agency and collective responsibility for advancing explanations. Organisational research must move beyond describing knowledge sharing or innovation outcomes and explain how sustained work with conceptual objects produces genuinely new knowledge. The authors argue that learning may result from knowledge building, but individual learning is not its defining objective; the public improvement of ideas is.
For educators, the chapter clarifies why discussion or collaboration alone is insufficient: students need shared problems, improvable theories, evidence, constructive criticism, and tools that preserve the history of communal idea development.
Bergdahl and colleagues systematically review how higher-education learning-analytics research conceptualises and measures student engagement through digital trace data.
Engagement is multidimensional, including behavioural, cognitive, emotional, and social participation, yet studies often equate it with easily counted actions such as logins, clicks, submissions, or time online. The review examines the dimensions, indicators, data sources, analytic methods, and theoretical frameworks used across the field. It warns that platform activity is an indirect proxy whose meaning depends on task, design, context, and complementary evidence; more activity is not necessarily deeper engagement.
For educators and analytics designers, the study recommends defining engagement before selecting data, aligning indicators with learning design, combining traces with qualitative or self-report evidence where appropriate, and avoiding interventions or labels that overinterpret what digital behaviour can establish.
Biesta critiques the transfer of evidence-based medicine's “what works” logic into education.
Educational action is not a technical intervention with fixed ends: decisions always involve judgments about desirable purposes, relationships, and consequences. Research can inform practice by offering possibilities, explanations, and evidence about what worked under particular conditions, but it cannot determine what a teacher should do. Treating causal findings as prescriptions narrows professional judgment and hides the values embedded in definitions of effectiveness. It can also create a democratic deficit by moving decisions about educational aims from teachers, learners, and publics to researchers or policy systems.
For educators and leaders, the article supports evidence-informed rather than evidence-determined practice: examine the quality and relevance of evidence while keeping purposes, ethics, context, and participation open to deliberation.
Biesta argues that a culture of measurement can displace the more fundamental question of what education is for.
Data about outcomes do not by themselves establish educational quality because decisions about valued outcomes are ethical, political, and democratic. He distinguishes three overlapping functions: qualification, through knowledge and capability; socialisation, through participation in traditions and practices; and subjectification, through becoming an independent person able to act and judge. Good education requires deliberation about the balance and possible tensions among these domains. The book also examines evidence, accountability, responsibility, inclusion, democracy, and teacher judgment.
For educators and leaders, its framework encourages asking what a metric makes visible, which purposes it serves, what it obscures, and whether measurement supports or constrains responsible professional and democratic decision making.
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Biesta offers an introduction organised around questions that conventional research-methods texts often leave implicit.
Before choosing a method, researchers must consider what education is, what improvement means, how theory functions, and how inquiry relates to professional judgment and democracy. Chapters examine pragmatism, educational practice, configurations of research, measurement, knowledge, and the political economy of academic publishing. The book resists both method-driven research and the claim that evidence can settle normative educational questions. Research becomes educational when it engages with purposes and the distinctive practical relations through which education occurs.
For new and experienced researchers, the text recommends methodological competence joined with conceptual and political reflexivity: clarify the educational problem, examine assumptions about causality and value, recognise institutional incentives, and ask how knowledge claims might contribute responsibly to practice without replacing democratic judgment.
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Bishop and Verleger define the flipped classroom narrowly as computer-based individual instruction outside class combined with interactive, group-based learning inside class.
This separates flipping from related practices that merely provide videos or rearrange homework. Their survey connects the model with contrasting theoretical traditions: direct instruction can structure initial explanations, while constructivist and problem-based approaches inform active classroom work. Reviewing the small empirical literature then available, they find generally positive student perceptions but limited rigorous evidence about learning outcomes. Many studies used single-group designs, local implementations, or different definitions, making broad causal claims premature.
For educators, the paper's enduring value is conceptual clarity: the benefit should not be attributed to video itself but tested through the quality of preparation, accountability, in-class tasks, feedback, and comparison with credible alternatives.
Bjork and Bjork explain why conditions that improve immediate performance can produce weak long-term learning, while conditions that introduce manageable difficulty can strengthen retention and transfer.
Desirable difficulties trigger encoding and retrieval processes that make memory more durable and flexible. Examples include spacing rather than massing practice, interleaving related categories or problem types, varying conditions of practice, and requiring generation or retrieval instead of repeated presentation. These methods often feel less fluent and produce more errors during acquisition, so learners and teachers may misjudge them as ineffective. The adjective desirable is essential: a challenge helps only when learners have enough prior knowledge and support to respond productively.
For educators, the chapter recommends evaluating methods with delayed, transferable performance and calibrating difficulty to the learner rather than equating smooth practice with lasting learning.
Bjork and Bjork explain why conditions that improve immediate performance can produce weak long-term learning, while conditions that introduce manageable difficulty can strengthen retention and transfer.
Desirable difficulties trigger encoding and retrieval processes that make memory more durable and flexible. Examples include spacing rather than massing practice, interleaving related categories or problem types, varying conditions of practice, and requiring generation or retrieval instead of repeated presentation. These methods often feel less fluent and produce more errors during acquisition, so learners and teachers may misjudge them as ineffective. The adjective desirable is essential: a challenge helps only when learners have enough prior knowledge and support to respond productively.
For educators, the chapter recommends evaluating methods with delayed, transferable performance and calibrating difficulty to the learner rather than equating smooth practice with lasting learning.
Bjork and Bjork explain why conditions that improve immediate performance can produce weak long-term learning, while conditions that introduce manageable difficulty can strengthen retention and transfer.
Desirable difficulties trigger encoding and retrieval processes that make memory more durable and flexible. Examples include spacing rather than massing practice, interleaving related categories or problem types, varying conditions of practice, and requiring generation or retrieval instead of repeated presentation. These methods often feel less fluent and produce more errors during acquisition, so learners and teachers may misjudge them as ineffective. The adjective desirable is essential: a challenge helps only when learners have enough prior knowledge and support to respond productively.
For educators, the chapter recommends evaluating methods with delayed, transferable performance and calibrating difficulty to the learner rather than equating smooth practice with lasting learning.
Bjork and Bjork revisit the history, theory, and classroom challenges of desirable difficulties.
Their distinction between storage strength and retrieval strength explains why information can become temporarily hard to access while remaining well learned, and why successful effortful retrieval can strengthen later access. Spacing, interleaving, variation, generation, and testing can induce processes that support durable and transferable learning even though they slow practice and reduce confidence. The authors stress that difficulty is not inherently beneficial: it must engage productive encoding or retrieval and must be achievable given the learner's knowledge and support. They also discuss motivation and the challenge of persuading learners to adopt strategies that feel worse in the moment.
For educators, the article recommends calibrating challenge, explaining its purpose, providing feedback, and judging learning through delayed retention and transfer rather than immediate fluency.
Bjork, Dunlosky, and Kornell review why learners often mismanage their own study.
People commonly use immediate performance and subjective fluency as evidence of learning, even though ease during practice may reflect short-lived accessibility rather than durable memory. Beliefs about learning influence strategy selection, and judgments of learning can be distorted by rereading, answer availability, recent success, or familiar presentation. Effective self-regulation requires distinguishing learning from performance, scheduling retrieval and spacing, using tests as learning events, learning from errors with feedback, and monitoring under conditions that resemble future use. The authors also examine educational and cultural practices that reward rapid, error-free performance and thereby reinforce illusions.
For educators, the review supports explicitly teaching how memory works, delaying judgments, using cumulative retrieval, and helping students compare predictions with later outcomes so they can calibrate study decisions.
Bjork and Bjork explain why conditions that improve immediate performance can produce weak long-term learning, while conditions that introduce manageable difficulty can strengthen retention and transfer.
Desirable difficulties trigger encoding and retrieval processes that make memory more durable and flexible. Examples include spacing rather than massing practice, interleaving related categories or problem types, varying conditions of practice, and requiring generation or retrieval instead of repeated presentation. These methods often feel less fluent and produce more errors during acquisition, so learners and teachers may misjudge them as ineffective. The adjective desirable is essential: a challenge helps only when learners have enough prior knowledge and support to respond productively.
For educators, the chapter recommends evaluating methods with delayed, transferable performance and calibrating difficulty to the learner rather than equating smooth practice with lasting learning.
Black and Wiliam review research on classroom formative assessment and find consistent evidence that strengthening feedback processes can improve learning. Assessment becomes formative when evidence about understanding is used to adapt teaching and learning, not simply when a task is labelled informal or frequent.
The review examines teacher questioning, feedback, self-assessment, peer processes, mastery learning, and the effects of grades and comparison. Productive feedback helps learners recognise a goal, compare their current state with it, and take action to close the gap. Students' beliefs, motivation, and active role are therefore central. The authors also stress that implementation demands substantial changes in classroom practice.
For educators, the review supports eliciting thinking, interpreting evidence, giving information that guides next steps, and involving students in criteria and self-regulation rather than relying on marks or praise alone.
Black and Wiliam develop a theoretical account that places formative assessment inside a broader model of pedagogy.
They define practice as formative when evidence about student achievement is elicited, interpreted, and used by teachers, learners, or peers to make better-grounded decisions about next steps than they could make without that evidence. The article connects classroom interaction with theories of instruction, feedback, self-regulation, and the regulation of learning. It identifies key strategies: clarifying intentions and criteria, engineering discussions and tasks that reveal understanding, providing feedback that moves learning forward, activating students as resources for one another, and activating them as owners of learning.
For educators, the theory shifts attention from assessment instruments to decision processes: who needs evidence, what inference it supports, and how the resulting action changes the course of learning.
Black and Wiliam embed classroom assessment within a theory of pedagogy rather than treating it as a separate set of techniques.
They analyse teaching as the creation and regulation of learning environments in which teachers, peers, and learners make contingent decisions. Assessment evidence matters because it informs those decisions, while curriculum, task design, classroom discourse, and relationships shape what evidence can be produced and how it is used. The article examines the roles of feedback, learner agency, disciplinary content, and teachers' professional judgment, arguing that formative practice cannot be reduced to generic routines. For educators, it recommends designing tasks and dialogue that expose relevant thinking, interpreting responses through knowledge of the subject and learner, and adapting instruction while preserving meaningful educational aims.
Assessment quality is therefore inseparable from pedagogical quality.
Boekaerts integrates three traditions that shaped research on self-regulated learning: learning styles and cognitive processing, metacognition and regulation of learning, and theories of goals, motivation, and the self.
Her three-layer model distinguishes regulation of processing modes at the inner layer, regulation of the learning process at the middle layer, and regulation of the self at the outer layer. Learners select cognitive strategies, plan and monitor activity, and decide whether a task serves valued goals or threatens well-being. These layers interact, so knowing a strategy does not guarantee its use when motivation, emotion, or competing goals redirect effort.
For educators, the model supports teaching strategies and metacognitive control while also attending to appraisal, confidence, interest, and classroom conditions that influence whether students enter a growth-oriented learning pathway or protect the self by withdrawing.
This multidisciplinary handbook surveys theories, methods, and applications of self-regulation across educational, developmental, personality, clinical, health, and organisational psychology.
Chapters address goal setting, motivation, attention, emotion, metacognition, volition, social and environmental influences, individual differences, development, measurement, and interventions. The collection shows that self-regulation is not a single skill or stable trait: it involves interacting systems that generate standards, monitor progress, manage thoughts and feelings, select action, and respond to feedback. It also examines failures of regulation and the conditions under which control can be learned or supported.
For educators, the handbook provides conceptual tools for distinguishing cognitive strategy knowledge from motivation and implementation, selecting measures that match a theory, and designing support for goals, monitoring, strategy adaptation, emotional regulation, and persistence rather than expecting learners to regulate independently without instruction or context.
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Boelens, De Wever, and Voet systematically review 20 studies to identify instructional responses to four recurring challenges in blended learning: incorporating flexibility, stimulating interaction, facilitating learning processes, and fostering an affective learning climate.
Designs often allowed choice of place or pace but gave learners little control over how the blend itself was organised. Social interaction was commonly initiated face to face, while online activities were used for personalisation and monitoring. Support for planning, progress, and feedback appeared more often than deliberate work on belonging, emotion, or psychological safety. The review shows that combining online and classroom components does not automatically integrate their strengths.
For educators and designers, it recommends making choices purposeful, connecting interaction across modes, scaffolding self-regulation, monitoring progress, and attending explicitly to motivation and climate throughout the whole learning experience.
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.
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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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