Claims

Multiple kinds of scaffolds are more effective than a unique scaffold for academic performance

Claim · All claims
Evidence · 1 study · quant-synthesis r2 · q3 · i1 small
Currency · newest study 2016 · not yet checked against its sources · 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.

q3 i1 Studies using multiple scaffolds (ES = 0.577) outperformed those using a unique scaffold (ES = 0.211), a statistically significant difference (Q = 4.424, df = 1, p = 0.035). → Lanqin Zheng 2016

Evidence

Lanqin Zheng 2016

Lanqin Zheng. (2016). The effectiveness of self-regulated learning scaffolds on academic performance in computer-based learning environments: a meta-analysis. Asia Pacific Education Review. https://doi.org/10.1007/s12564-016-9426-9

q3 · i1 · quant-synthesis · r2

Moderator analysis under a random effects model comparing 18 studies coded as multiple scaffolds (1869 subjects) with 11 studies coded as unique scaffolds (779 subjects). The difference between the two categories was statistically significant.

"The higher effect size was associated with the multiple kinds of scaffolds (ES = 0.577), in contrast to the unique scaffold (ES = 0.211). There was a statistically significant difference between the multiple and unique scaffolds ( Q = 4.424, df = 1, p = 0.035)"

Discussion

Page metadata
Field Value
type claim
id multiple-scaffolds-outperform-unique
title Multiple kinds of scaffolds are more effective than a unique scaffold for academic performance
description Multiple kinds of scaffolds are more effective than a unique scaffold for academic performance
status review
evidence_strength moderate
newest_evidence 2016
generated by process:wiki-ingest on 2026-10-16
trust unverified — no one has confirmed this page's content
sources 1 — lanqin-zheng-2016

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