Claims

Effective AI use positively influences sustainable learning performance

Claim · All claims
Evidence · 1 study · associational 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? Effective AI use positively influences students' sustainable learning performance, defined as retention, independent application, and transfer of learning. → Gao L 2026

Evidence

Gao L 2026

Gao L, Sun Y and Khan SU (2026) From enhancement to over-reliance: a mixed-method study of generative AI and sustainable learning performance. Front. Psychol. 17:1847369. https://doi.org/10.3389/fpsyg.2026.1847369

q3 · i? · associational · r2

In the PLS-SEM structural model of the 623-student three-wave sample, the study reports that "Effective AI use positively influences sustainable learning performance". Sustainable learning performance is measured as perceived long-term retention, independent application, and transfer.

"Effective AI use positively influences sustainable learning performance but also increases AI over-reliance, which negatively affects learning outcomes."

Discussion

Page metadata
Field Value
type claim
id effective-ai-use-improves-sustainable-learning-performance
title Effective AI use positively influences sustainable learning performance
description Effective AI use positively influences sustainable learning performance
status review
evidence_strength moderate
newest_evidence 2026
generated by process:wiki-ingest on 2026-10-10
trust unverified — no one has confirmed this page's content
sources 1 — gao-l-2026

Frontmatter is the page's machine-readable record — see the Schema & Guide.