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.
4 references
-
- Vol 5 RE: Chapters 2, 8
- Vol 5 TE: App C
- Vol 7 PE: App D
formative feedbackelaborated feedbackfeedback timingfeedback specificityself-regulationworked examplestask-oriented feedbackfeedback overloadJournal article Evidence summaryAt a glance
Shute reviews formative feedback, defined as information communicated to change a learner’s thinking or behaviour for improved learning. Feedback can verify accuracy, identify errors, supply the correct answer, offer hints, explain principles, or present worked examples; its effectiveness depends on the learner, task, timing, and level of detail.
Key ideas
Elaborated feedback that addresses what, how, and why is often more useful than simple right–wrong confirmation, but too much information can overwhelm learners. Effective feedback is generally specific, credible, supportive, and focused on the task, process, or self-regulation rather than personal traits or comparisons with peers. Immediate feedback can help difficult or procedural tasks and prevent persistent error, while delayed feedback may sometimes support transfer or fluency; no single timing rule fits all conditions. For educators and designers, feedback should be manageable, aligned with goals, and usable in a next action.
Why it matters
Avoid grades or praise that divert attention to the self, overly controlling language, vague comments, and hints that let students bypass thinking. The review offers conditional guidelines rather than a universal feedback formula.
-
- Vol 1 RE: Chapters 3, 4, 10, 12, App A, App B
- Vol 2 RE: Chapters 1, 3, 4, App A, App C, App D
- Vol 2 TE: App B
- Vol 3 RE: Chapters 2, 4, 11, App A
- Vol 3 TE: App C
- Vol 4 RE: Chapters 1, 2, 3, App A, App C
- Vol 4 TE: App C
- Vol 5 RE: App B
- Vol 5 TE: App C
- Vol 7 PE: App D
- Vol 7 RE: Chapters 1, 2, 4, App A, App B, App D
cognitive loadmeans–ends analysisgoal-free problemsworked examplesschema acquisitionproblem-solving searchJournal article Evidence summaryAt a glance
Sweller argues that conventional means–ends problem solving can consume the limited processing capacity needed for learning. Experts differ from novices largely through domain-specific schemas that organise problem states and solution procedures.
Key ideas
Yet novices solving unfamiliar problems may focus on repeatedly comparing the current state with the goal, selecting operators to reduce differences, and tracking subgoals. This search can produce a correct answer without directing attention to the structural relations needed for schema acquisition. Computational analysis and experiments compare conventional problems with alternatives such as goal-free problems that reduce means–ends search. Learners under reduced search demands can devote more capacity to studying problem structure and later transfer more effectively. The article helped establish cognitive load theory but does not imply that problem solving is inherently unproductive; its instructional value changes with prior knowledge and guidance.
Why it matters
For educators, novices benefit from worked examples, completion tasks, explicit subgoals, and reduced search before independent practice. Assessment should distinguish immediate solution success from later learning, and support should fade as schemas develop so that learners eventually practise full problem solving.
-
- Vol 1 RE: Chapters 4, 10, 12, App A, App B
- Vol 2 RE: Chapters 1, 3, 4, 6, 7, 8, App A, App C, App D
- Vol 2 TE: App B
- Vol 4 RE: Chapters 1, 2, 3, 4, 16, 25, App A, App B, App C
- Vol 4 TE: App C
- Vol 5 RE: App B
cognitive architectureworking-memory limitationsintrinsic cognitive loadextraneous cognitive loadworked examplesexpertise reversalguidance fadingBook Evidence summaryAt a glance
Sweller, Ayres, and Kalyuga derive instructional design principles from a cognitive architecture in which biologically secondary knowledge is stored in effectively vast long-term memory but novel information must pass through sharply limited working memory. Cognitive load depends on interacting elements and the learner’s existing schemas.
Key ideas
Intrinsic load reflects task complexity relative to knowledge; extraneous load results from avoidable instructional demands. Learning changes what counts as a single element by building schemas and automating performance. The book reviews effects including worked examples, goal-free problems, completion tasks, split attention, modality, redundancy, imagination, self-explanation, guidance fading, and expertise reversal. A design that helps a novice can become redundant for an expert, so guidance should adapt as knowledge grows.
Why it matters
The theory does not argue for making all learning easy; it argues for directing scarce working-memory resources toward processes that build transferable knowledge rather than toward unnecessary search or poorly coordinated information.
View or buy the cited work >>Read a similar article free online >>
-
- Vol 7 PE: App D
- Vol 7 RE: Chapter 4
cognitive architectureintrinsic cognitive loadextraneous cognitive loadgermane loadsplit-attention effectworked examplesschema automationJournal article Evidence summaryAt a glance
Sweller, van Merriënboer, and Paas connect instructional design to a cognitive architecture with severely limited working memory for novel information and effectively unlimited long-term memory organised in schemas. Learning changes what working memory can handle by constructing and automating schemas.
Key ideas
The authors distinguish intrinsic cognitive load arising from interacting elements inherent to the material, extraneous load imposed by avoidable presentation or activity, and germane load devoted to processes that contribute to learning. They review instructional effects including worked examples, completion problems, goal-free problems, split attention, redundancy, modality, and variability. Designs help when they reduce unnecessary search and integration while directing capacity toward relevant structure. Effects depend on expertise: information essential for novices can become redundant for knowledgeable learners.
Why it matters
For educators, the framework supports integrating mutually dependent sources, removing decorative or repeated explanations that add processing without value, modelling complex procedures, sequencing element interactivity, and fading guidance with growing competence. Cognitive load is not simply content quantity or subjective difficulty; design decisions should be evaluated through both learner effort and durable performance.
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