The comprehensive psychological need satisfaction configuration (competence core) has the highest coverage for high learning engagement, with GAI use unconstrained¶
Claim · All claims
Evidence · 1 study · associationalr2·q2
Currency · newest study 2026 · checked against its sources 2026-10-21 (automated, 1 of 1 entry) · 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? Configuration C1 combined core competence need satisfaction with peripheral autonomy and relatedness need satisfaction, had the highest raw (0.829) and unique (0.250) coverage, and was stable across threshold adjustments. → 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
Sufficiency analysis in the fsQCA identified three configurations for high learning engagement. C1 (core competence; peripheral autonomy and relatedness; GAI unconstrained) had the highest coverage and was retained under both raised thresholds. Overall solution coverage was 0.858.
"C1 had a consistency of 0.832, a PRI of 0.757, a raw coverage of 0.829, and a unique coverage of 0.250. Both its raw coverage and unique coverage were the highest among the three configurations, indicating that it was the principal configuration with the broadest empirical coverage."
Discussion¶
Related Claims¶
- GAI use appears as a core condition only in a supplementary autonomy–relatedness configuration with low unique coverage — related
- High GAI use is not a necessary condition for high learning engagement, and no single condition is strictly necessary — related
- Competence is the strongest independent psychological predictor of AI literacy performance, followed by autonomy; relatedness has no significant independent effect — related
- Multiple sufficient configurations lead to high AI literacy performance (equifinality) — related
- Basic psychological need satisfaction is strongly associated with learning engagement among medical undergraduates — related
- Well-designed games can promote persistence in practice and high-quality engagement, and when basic needs of autonomy, competence, and relatedness are met, learning becomes its own reward, reducing the temptation to outsource cognitive effort to LLMs. — related
- Satisfaction of basic psychological needs is positively associated with autonomous motivation, with competence the strongest predictor — related
- In EERs, autonomy, competence, and relatedness are each supported by specific design features per self-determination theory — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
comprehensive-need-satisfaction-configuration-principal |
title |
The comprehensive psychological need satisfaction configuration (competence core) has the highest coverage for high learning engagement, with GAI use unconstrained |
description |
The comprehensive psychological need satisfaction configuration (competence core) has the highest coverage for high learning engagement, with GAI use unconstrained |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2026 |
source_checked |
2026-10-21 |
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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