Claims

Expertise reversal: cognitive load effects for novices decrease, disappear, and can reverse as expertise increases

Claim · All claims
Evidence · 1 study · review r2 · q2
Currency · newest study 2019 · checked against its sources 2026-10-14 (automated, 1 of 1 entry) · not reviewed by a person

Subclaims

Reading the evidence codes

q is the design tier, i the impact, n the sample, and the kind with its r the rigour judged within that kind: what each code means.

This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.

q2 i? Instructional procedures benefiting novices processing high element interactivity information become counterproductive with increasing expertise as elements become embedded in long-term memory structures. → Sweller 2019

Evidence

Sweller 2019

Sweller, J., van Merriënboer, J. J. G., & Paas, F. (2019). Cognitive Architecture and Instructional Design: 20 Years Later. Educational Psychology Review, 31, 261–292. https://doi.org/10.1007/s10648-019-09465-5

q2 · i? · review · r2

This narrative review attributes the expertise reversal effect to Kalyuga et al. (2003, 2012): pre-1998 CLT effects obtained with novices shrink, vanish, or reverse as expertise rises because element interactivity falls via the environmental organising and linking principle.

"As a consequence, with increasing expertise, the above effects first decrease in size, then disappear, and can eventually reverse (Kalyuga et al. 2003, 2012)."

Discussion

Learner Variables

Page metadata
Field Value
type claim
id expertise-reversal-effect-compound
title Expertise reversal: cognitive load effects for novices decrease, disappear, and can reverse as expertise increases
description Expertise reversal: cognitive load effects for novices decrease, disappear, and can reverse as expertise increases
status review
evidence_strength weak
newest_evidence 2019
source_checked 2026-10-14
generated by process:wiki-ingest on 2026-10-13
trust unverified — no one has confirmed this page's content
sources 1 — sweller-2019

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