Evidence for Analysing and classifying #

Every substantive claim on the Analysing and classifying page is checked against current research. Here is each claim, how well today’s evidence supports it, and the sources. The full, de-duplicated source list lives on the references page.

Supported · moderate evidence — Planning before studying — analysing the material and deciding how to approach it rather than diving straight in — is a characteristic of effective, self-regulated learners.

Zimmerman’s cyclical model of self-regulated learning places task analysis, goal setting and strategic planning in the forethought phase that precedes performance, and links these forethought activities to better learning outcomes. The broad finding that strategic planning and self-regulation support achievement is well established, though effect sizes vary across studies and domains.

Sources: Zimmerman (2002), Becoming a Self-Regulated Learner: An Overview, Theory Into Practice — https://doi.org/10.1207/s15430421tip4102_2 · Panadero (2017), A Review of Self-Regulated Learning: Six Models and Four Directions for Research, Frontiers in Psychology — https://doi.org/10.3389/fpsyg.2017.00422 · full reference ›

Supported · strong evidence — No single study technique is best for all material; the most effective approach depends on the type of knowledge and the task, so learners should match technique to content.

Dunlosky et al. rate techniques by utility and stress that effectiveness is moderated by materials, learning conditions, the criterion task and learner characteristics — i.e. the right technique depends on what is being learned. The principle that technique should fit the material and goal is widely endorsed in the science-of-learning literature.

Sources: Dunlosky, Rawson, Marsh, Nathan & Willingham (2013), Improving Students’ Learning With Effective Learning Techniques, Psychological Science in the Public Interest — https://journals.sagepub.com/doi/10.1177/1529100612453266 · full reference ›

Supported · moderate evidence — Distinguishing what must be recalled from memory from what can be looked up lets learners concentrate repetition and memorisation where it actually pays off.

Dunlosky et al. and the wider literature show that high-utility techniques such as practice testing and distributed practice carry time costs, so allocating them to material that genuinely requires durable recall (rather than background that can be referenced) is a sensible application of their findings. This is a reasonable inference from the evidence rather than a directly tested claim.

Supported · strong evidence — Forming durable long-term memories involves physical changes in the connections between neurons, not merely holding information for longer.

It is well established in neuroscience that short-term facilitation reflects changes in synaptic strength while long-term memory additionally involves gene expression and the growth or remodelling of synaptic connections. Kandel’s Nobel-recognised work is a canonical source for this distinction.

Sources: Kandel (2001), The Molecular Biology of Memory Storage: A Dialogue Between Genes and Synapses, Science — https://doi.org/10.1126/science.1067020 · full reference ›

Supported · strong evidence — Building lasting memories depends on repeated exposure and recall over time rather than a single exposure.

The spacing effect — that learning distributed over repeated sessions produces far better long-term retention than the same study massed into one — is among the most robust findings in memory research, confirmed by Cepeda et al.’s meta-analysis of over a century of studies.

Sources: Cepeda, Pashler, Vul, Wixted & Rohrer (2006), Distributed Practice in Verbal Recall Tasks: A Review and Quantitative Synthesis, Psychological Bulletin — https://doi.org/10.1037/0033-2909.132.3.354 · full reference ›

Supported · strong evidence — The hippocampus plays a central role in forming and consolidating many new declarative memories before they are stored more durably elsewhere in the brain.

The medial temporal lobe and hippocampus are well established as critical for the formation and consolidation of new declarative/episodic memories, with memories becoming progressively less dependent on the hippocampus over time (systems consolidation). The precise time course and the standard versus multiple-trace accounts remain debated, but the hippocampus’s central role in forming new memories is consensus.

Sources: Squire, Wixted (2011), The Cognitive Neuroscience of Human Memory Since H.M., Annual Review of Neuroscience — https://doi.org/10.1146/annurev-neuro-061010-113720 · full reference ›

Supported · moderate evidence — Concepts and principles are learned better through self-explanation and elaboration — explaining how and why, and generating examples — than through rote repetition.

Dunlosky et al. rate self-explanation and elaborative interrogation (asking and answering how/why) as moderate-utility techniques that aid comprehension of conceptual material; the benefit for meaningful, relational content is well supported, though it depends on prior knowledge and the quality of the explanations generated.

Supported · moderate evidence — Motor skills are acquired chiefly through physical practice and feedback rather than by reading or memorising descriptions of the skill.

Motor-learning research consistently shows that skilled movement develops through structured practice and feedback, with practice variables (such as feedback schedules and practice structure) shaping retention; declarative description of a skill is not a substitute for performing it. The general principle is well established, while specific practice-design effects continue to be refined.

Sources: Wulf, Shea & Lewthwaite (2010), Motor Skill Learning and Performance: A Review of Influential Factors, Medical Education — https://doi.org/10.1111/j.1365-2923.2009.03421.x · full reference ›