Claims

GAI use appears as a core condition only in a supplementary autonomy–relatedness configuration with low unique coverage

Claim · All claims
Evidence · 1 study · associational r2 · q2
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.

q2 i? In configuration C2, autonomy need satisfaction and GAI use were core conditions with relatedness peripheral, but unique coverage was only 0.020, indicating substantial overlap with other configurations. → He Qian 2026

Evidence

He Qian 2026

He Qian, Chang Guanglei, Su Ning, Yang Yingying, Ma Jun. (2026). Generative Artificial Intelligence Use and Learning Engagement Among Medical Undergraduates: Statistical Indirect and Configurational Associations Involving Basic Psychological Need Satisfaction. Behavioral Sciences. https://doi.org/10.3390/bs16091694

q2 · i? · associational · r2

fsQCA sufficiency analysis. C2 paired core autonomy need satisfaction with core GAI use, suggesting GAI use may accompany high engagement when co-occurring with autonomous choice, but its low unique coverage led the authors to interpret it as supplementary.

"C2 had a consistency of 0.868, a PRI of 0.785, a raw coverage of 0.599, and a unique coverage of only 0.020, indicating substantial overlap with the other configurations."

Discussion

Page metadata
Field Value
type claim
id gai-core-only-supplementary-autonomy-configuration
title GAI use appears as a core condition only in a supplementary autonomy–relatedness configuration with low unique coverage
description GAI use appears as a core condition only in a supplementary autonomy–relatedness configuration with low unique coverage
status review
evidence_strength weak
newest_evidence 2026
generated by process:wiki-ingest on 2026-10-12
trust unverified — no one has confirmed this page's content
sources 1 — he-qian-2026

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