Evidence for Engage: explore the material in more than one mode #

Every substantive claim on the Engage: explore the material in more than one mode 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 — Aiming to understand a topic, rather than rote-memorising it, produces more durable learning and lets you reconstruct forgotten parts from the underlying ideas.

The levels-of-processing finding — that deeper, meaning-based (semantic) processing yields better retention than shallow rote processing — is a long-standing and broadly replicated result in memory research and remains the standard account in 2026, though depth is now understood alongside factors such as distinctiveness and transfer-appropriate processing.

Sources: Craik, F. I. M., & Lockhart, R. S. (1972), Levels of processing: A framework for memory research. Journal of Verbal Learning and Verbal Behavior 11(6), 671-684 — https://doi.org/10.1016/S0022-5371(72)80001-X · Craik, F. I. M. (2002), Levels of processing: Past, present… and future? Memory 10(5/6), 305-318 · full reference ›

Supported · moderate evidence — Understanding the principles behind a topic, rather than rote-learning surface facts, makes it more likely you can apply the knowledge to a new but related situation (transfer).

Research on expertise and problem-solving shows that organising knowledge around deep principles rather than surface features supports flexible transfer to novel problems; this is well established, while the general difficulty of far transfer is also acknowledged in the 2026 literature.

Sources: Chi, M. T. H., Feltovich, P. J., & Glaser, R. (1981), Categorization and representation of physics problems by experts and novices. Cognitive Science 5(2), 121-152 — https://doi.org/10.1207/s15516709cog0502_2 · full reference ›

Supported · moderate evidence — Words and mental images are handled by two partly separate cognitive systems, so encoding an idea in both a verbal and a visual form lays down complementary memory traces (dual coding).

Dual-coding theory remains a foundational and broadly accepted account in cognitive psychology; the two-channel architecture is consistent with Baddeley’s working-memory model and with current cognitive-load and multimedia-learning frameworks.

Sources: Paivio, A. (1986), Mental Representations: A Dual Coding Approach — Oxford University Press · Clark, J. M., & Paivio, A. (1991), Dual coding theory and education. Educational Psychology Review 3(3), 149-210 · full reference ›

Supported · strong evidence — People learn more deeply from a clear explanation paired with a corresponding picture or diagram than from the words alone (the multimedia principle).

The multimedia principle is supported by a large body of controlled experiments and multiple meta-analyses showing a consistent positive effect of adding relevant explanatory graphics to text or narration.

Sources: Mayer, R. E. (2021), Multimedia Learning, 3rd ed. — Cambridge University Press — https://doi.org/10.1017/9781316941355 · Mayer, R. E., & Fiorella, L. (2022), The Cambridge Handbook of Multimedia Learning, 3rd ed. — Cambridge University Press · full reference ›

Supported · strong evidence — Engaging the same idea across several modes (seeing, saying, doing) benefits learners generally — it is a tactic for everyone, not a matter of matching material to a person’s preferred sensory channel.

The benefit of multimodal (words-plus-pictures) presentation is one of the most replicated findings in instructional research and is observed across learners; the gain follows from dual-channel processing rather than from any learner-specific style, which is the page’s framing.

Sources: Mayer, R. E. (2021), Multimedia Learning, 3rd ed. — Cambridge University Press · Mayer, R. E. (2009), Multimedia Learning (2nd ed.). Cambridge University Press — https://doi.org/10.1017/CBO9780511811678 · full reference ›

Supported · strong evidence — Matching instruction to a learner’s preferred sensory style (the ‘meshing’ or ’learn in your own style’ claim) has not been shown to improve learning outcomes.

Pashler et al.’s review found that almost no studies used the crossover-interaction design required to test meshing, and those that did failed to support it; the rejection of the matching claim remains the firm scientific consensus in 2026. The page asserts the absence of a matching benefit, which is the well-supported position.

Sources: Pashler, H., McDaniel, M., Rohrer, D., & Bjork, R. (2008), Learning styles: Concepts and evidence. Psychological Science in the Public Interest 9(3), 105-119 — https://doi.org/10.1111/j.1539-6539.2009.01038.x · full reference ›

Supported · moderate evidence — The best mode to lead with is often dictated by the content itself (maps seen, melodies heard, procedures performed), independent of any individual learner’s stated style preference.

Pashler et al. and later authors note that the optimal modality is typically dictated by the to-be-learned content rather than by the learner; this content-over-learner framing is well accepted, though it is a reasoned position more than a single quantified effect.

Sources: Pashler, H., McDaniel, M., Rohrer, D., & Bjork, R. (2008), Learning styles: Concepts and evidence — https://doi.org/10.1111/j.1539-6539.2009.01038.x · full reference ›

Supported · moderate evidence — Explaining material aloud in your own words and summarising it from memory deepens understanding rather than merely repeating it.

Generative learning activities such as self-explanation and summarising are supported by a substantial body of research as effective ways to build understanding; their benefit is well documented, with effectiveness depending on how the activity is structured.

Sources: Fiorella, L., & Mayer, R. E. (2015), Learning as a Generative Activity: Eight Learning Strategies that Promote Understanding — Cambridge University Press — https://doi.org/10.1017/CBO9781107707085 · Bisra, K., Liu, Q., Nesbit, J. C., Salimi, F., & Winne, P. H. (2018), Inducing self-explanation: A meta-analysis. Educational Psychology Review 30, 703-725 · full reference ›

Supported · moderate evidence — Drawing a representation of to-be-learned material (sketches, diagrams, mind maps) supports understanding and retention.

Learner-generated drawing is one of the generative strategies with empirical support for improving comprehension and memory when learners draw the conceptual content; benefits are reliable though moderated by drawing support and prompts.

Sources: Fiorella, L., & Mayer, R. E. (2015), Learning as a Generative Activity — Cambridge University Press · Fernandes, M. A., Wammes, J. D., & Meade, M. E. (2018), The surprisingly powerful influence of drawing on memory. Current Directions in Psychological Science 27(5), 302-308 — https://doi.org/10.1177/0963721418755385 · full reference ›

Supported · moderate evidence — How much subjectively easier (‘feels fluent’) a familiar single-channel approach feels is a poor guide to how much durable learning it produces, so effortful multi-mode engagement is worth it even when it feels harder.

The dissociation between processing fluency / subjective ease and actual long-term retention is well documented in the metacognition and desirable-difficulties literature; fluent-feeling study routinely overestimates learning.

Sources: Bjork, R. A., Dunlosky, J., & Kornell, N. (2013), Self-regulated learning: Beliefs, techniques, and illusions. Annual Review of Psychology 64, 417-444 — https://doi.org/10.1146/annurev-psych-113011-143823 · full reference ›