Claims

Worked-example preparation deepens subsequent learning via more elaboration during the future-learning phase

Claim · All claims
Evidence · 1 study · causal r2 · q3 · i2 medium
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 i2 During future learning, the worked example group showed more elaboration processes than the inventing group (BF+0 = 3.608, d = .68). → Inga Glogger-Frey 2022

Evidence

Inga Glogger-Frey 2022

Inga Glogger-Frey, Anne-Katrin Treier, Alexander Renkl. (2022). How preparation-for-learning with a worked versus an open inventing problem affect subsequent learning processes in pre-service teachers. Instructional Science. https://doi.org/10.1007/s11251-022-09577-6

q3 · i2 · causal · r2

Think-aloud protocols coded by two independent raters (κ = 0.89) during learning of the quality-criteria unit in the CBLE; Table 2 reports elaboration means of 11.25 (worked example) versus 7.50 (inventing), d = .68, supporting that the "worked example group showed more cognitive processes of elaboration".

"During learning, the worked example group showed more cognitive processes of elaboration than the inventing group, BF +0 = 3.608 (see Table 2)."

Discussion

Page metadata
Field Value
type claim
id worked-example-preparation-more-elaboration-future-learning
title Worked-example preparation deepens subsequent learning via more elaboration during the future-learning phase
description Worked-example preparation deepens subsequent learning via more elaboration during the future-learning phase
status review
evidence_strength moderate
newest_evidence 2022
generated by process:wiki-ingest on 2026-10-18
trust unverified — no one has confirmed this page's content
sources 1 — inga-glogger-frey-2022

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