The effectiveness of concrete representations may depend more on how relatable they are than on their real-world existence¶
Claim · All claims
Evidence · 1 study · qualitativer3·q2
Currency · newest study 2025 · checked against its sources 2026-10-20 (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? Initial findings that concrete examples impaired abstract transfer were canceled in follow-up studies that made examples more relatable or aligned the posttest with the learning task. → Julia Chatain 2025
Evidence¶
Julia Chatain 2025¶
Julia Chatain, Charlotte Müller, Keny Chatain, Leon Calabrese, Manu Kapur. (2025). Concreteness and Abstraction in Mathematics Education: A Taxonomy of the Semantic Landscape. Educational Psychology Review. https://doi.org/10.1007/s10648-025-10073-9
q2 · i? · qualitative · r3
Narrative review attributing this to cited studies: the review reports that Kaminski et al. (2008) found concrete real-world examples may impair performance on abstract transfer tasks, while follow-up studies by Trninic et al. (2020) and De Bock et al. (2011) canceled this effect. The review narrates these studies without re-analyzing them.
"the effectiveness of concrete representations may lie more in how relatable they are rather than in the sole fact that they exist in the real world"
Discussion¶
Learner Variables¶
- Domain Context — moderator: an instructional effect differs with it
Related Claims¶
- A systematic review argues that concrete materials aid mathematics and science learning when they are explicitly and gradually connected to the abstract symbols they represent — related
- A single representation can be abstract along one dimension and concrete along another, and concrete for one learner but abstract for another — a broader claim this one bears on
- Concrete, outcome-oriented eco-feedback visualizations with real-world analogies are rated more favorably than abstract metrics — related
- Interviews indicate individualized AI-generated identity-based relevance was perceived as overly abstract, while collective AI dialogue connected math to current concerns and cross-domain applications — related
- Manipulatives Improve Math Learning — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
concrete-representations-effectiveness-relatability |
title |
The effectiveness of concrete representations may depend more on how relatable they are than on their real-world existence |
description |
The effectiveness of concrete representations may depend more on how relatable they are than on their real-world existence |
status |
review |
evidence_strength |
mixed |
newest_evidence |
2025 |
source_checked |
2026-10-20 |
generated |
by process:wiki-ingest on 2026-10-20 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — julia-chatain-2025 |
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