Claims

HPK students improved significantly only in the Low-Agency condition, with a large post-test advantage over HPK peers in High-Agency (d = .95)

Claim · All claims
Evidence · 1 study · causal r1 · q3 · i3 large
Currency · newest study 2019 · 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 i3 HPK students in the Low-Agency condition had higher post-test scores than HPK students in the High-Agency condition, d = .95. → Xingliang Chen & Antonija Mitrovic & Moffat Mathews 2019

Evidence

Xingliang Chen & Antonija Mitrovic & Moffat Mathews 2019

Xingliang Chen & Antonija Mitrovic & Moffat Mathews. (2019). Investigating the Effect of Agency on Learning from Worked Examples, Erroneous Examples and Problem Solving. International Journal of Artificial Intelligence in Education (2019) 29:396–424. https://doi.org/10.1007/s40593-019-00179-x

q3 · i3 · causal · r1

Discussion of the 40-participant SQL-Tutor experiment results: HPK students improved significantly from pre- to post-test only in the Low-Agency condition; the article reports the post-test comparison "with a large effect size (d = .95)".

"On the contrary, HPK students in the Low-Agency condition had higher post-test scores than the counterparts in the High- Agency condition with a large effect size (d = .95). Therefore Hypothesis 2a was rejected."

Discussion

Page metadata
Field Value
type claim
id hpk-improved-only-low-agency
title HPK students improved significantly only in the Low-Agency condition, with a large post-test advantage over HPK peers in High-Agency (d = .95)
description HPK students improved significantly only in the Low-Agency condition, with a large post-test advantage over HPK peers in High-Agency (d = .95)
status review
evidence_strength moderate
newest_evidence 2019
generated by process:wiki-ingest on 2026-10-27
trust unverified — no one has confirmed this page's content
sources 1 — xingliang-chen-antonija-mitrovic-moffat-mathews-2019

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