Both treatment groups improved near within domain transfer, but the One Model Group's benefit depended on having a content-expert teacher while the Two Models Group's did not¶
Claim · All claims
Evidence · 1 study (2 entries) · causalr1–r2·q3·i2medium
Currency · newest study 2020 · 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 Both groups improved on the butterfly effect near transfer item from pretest to posttest, with no main effect of Condition. → Jacobson 2020
q3 i2 A Condition × Teacher interaction arose solely because the One Model Group benefited from the content-expert teacher on near transfer, whereas the Two Models Group showed no teacher-expertise effect. → Jacobson 2020 (2)
Evidence¶
Jacobson 2020¶
Jacobson, Michael, Goldwater, Micah, Markauskaite, Lina, Lai, Polly, Kapur, Manu, Roberts, Gareth, & Hilton, Courtney. (2020). Schema abstraction with productive failure and analogical comparison: Learning designs for far across domain transfer. Learning and Instruction, 65, Article number: 101222. https://doi.org/10.1016/j.learninstruc.2019.101222
q3 · i2 · causal · r1
Linear mixed-model analysis of the butterfly effect near within domain transfer item in the quasi-experimental study. Both groups improved significantly by posttest regardless of whether they learned with one or two models.
"there was a main effect for Time, F(1,92) = 7.585, p = 0.007, η2 = .076, but no main effect for Condition, F(1,92) = 0.425 , p = 0.516, η 2 = .005, nor an interaction between Condition and Time, F(1,92) = 0.067 , p = 0.796, η2 = .001."
Jacobson 2020 (2)¶
Jacobson, Michael, Goldwater, Micah, Markauskaite, Lina, Lai, Polly, Kapur, Manu, Roberts, Gareth, & Hilton, Courtney. (2020). Schema abstraction with productive failure and analogical comparison: Learning designs for far across domain transfer. Learning and Instruction, 65, Article number: 101222. https://doi.org/10.1016/j.learninstruc.2019.101222
q3 · i2 · causal · r2
The Condition by Teacher Content Expertise interaction on near transfer was significant (F(1,92) = 3.967, p = 0.049, η2 = .041); follow-up comparisons showed the difference was "solely due to" teacher expertise within the One Model Group, while the Two Models Group "showed no effect of teacher expertise".
"There was a pairwise difference between the content-expert and the non-expert for participants in the One Model Group (M = 0.283, SE = 0.127), t = 2.23, p = 0.028, with students exposed to the content-expert teacher showing higher performance for the near within domain transfer."
Discussion¶
Related Claims¶
- Both treatment groups significantly improved complex systems explanatory knowledge, and students taught by the content-expert teacher learned more than those taught by less expert teachers — related
- Students who compared a climate model with non-climate analog models during productive failure scored significantly higher on far across domain transfer than students who used only the climate model — related
- PF students scored significantly higher than DI students on near transfer (butterfly effect problem) — related
- Both treatment groups significantly improved climate explanatory knowledge, with no reliable condition or teacher-expertise differences — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
near-transfer-teacher-expertise-interaction-one-model |
title |
Both treatment groups improved near within domain transfer, but the One Model Group's benefit depended on having a content-expert teacher while the Two Models Group's did not |
description |
Both treatment groups improved near within domain transfer, but the One Model Group's benefit depended on having a content-expert teacher while the Two Models Group's did not |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2020 |
generated |
by process:wiki-ingest on 2026-10-23 |
trust |
unverified — no one has confirmed this page's content |
sources |
2 — jacobson-2020, jacobson-2020-2 |
Frontmatter is the page's machine-readable record — see the Schema & Guide.