Claims

Learners partly use example length as a cue when evaluating their self-generated examples

Claim · All claims
Evidence · 1 study · causal r3 · q3 · i1 small
Currency · newest study 2022 · 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 Learners tended to give higher quality judgments to lengthier examples (G = .22), and their examples were shorter than the expert examples. → Linda Froese 2022

Evidence

Linda Froese 2022

Linda Froese, Julian Roelle. (2022). Expert example standards but not idea unit standards help learners accurately evaluate the quality of self-generated examples. Metacognition and Learning. https://doi.org/10.1007/s11409-022-09293-z

q3 · i1 · causal · r3

Exploratory analysis in the N = 131 experiment correlated learners' ratings with example word count (G = .22) and found learner examples contained fewer words than expert examples for all eight concepts (all ps < .001).

"We found a gamma correlation of G = .22, which indicates that learners tended to give higher judgments to lengthier examples and thus, at least in part, might have used the length of their examples as cue."

Discussion

Page metadata
Field Value
type claim
id length-cue-example-evaluation
title Learners partly use example length as a cue when evaluating their self-generated examples
description Learners partly use example length as a cue when evaluating their self-generated examples
status review
evidence_strength weak
newest_evidence 2022
generated by process:wiki-ingest on 2026-10-18
trust unverified — no one has confirmed this page's content
sources 1 — linda-froese-2022

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