Claims

Prompted AI-supported learning raises overall post-test scores above both slide-based and unprompted AI conditions

Claim · All claims
Evidence · 1 study · causal r2 · q3
Currency · newest study 2026 · 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 i? Total post-test scores differed significantly across conditions (F = 6.82, p = 0.0017), with the prompted group highest. → Xiaoyu Hou 2026

Evidence

Xiaoyu Hou 2026

Xiaoyu Hou, Bo Xiao, Hexu Liu and Shane Mueller. (2026). The Role of Instructional Guidance in Generative AI-Assisted Learning: Empirical Evidence from Construction Engineering Education. https://arxiv.org/abs/2606.05509 doi:10.48550/arxiv.2606.05509

q3 · i? · causal · r2

Overall post-intervention test (multiple-choice plus open-ended, max 18) in the same randomized experiment (n = 95). The prompted group's total of 18.86 "significantly exceeding both the NA (15.35) and Unprompted (15.73) groups (F = 6.82, p = 0.0017)".

"The Prompted group achieves the highest mean performance (18.86), significantly exceeding both the NA (15.35) and Unprompted (15.73) groups (F = 6.82, p = 0.0017)."

Discussion

Page metadata
Field Value
type claim
id prompted-ai-raises-overall-post-test-score
title Prompted AI-supported learning raises overall post-test scores above both slide-based and unprompted AI conditions
description Prompted AI-supported learning raises overall post-test scores above both slide-based and unprompted AI conditions
status review
evidence_strength moderate
newest_evidence 2026
generated by process:wiki-ingest on 2026-10-11
trust unverified — no one has confirmed this page's content
sources 1 — xiaoyu-hou-2026

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