Hardiness shows its strongest burnout correlation with reduced academic accomplishment, while AI-assisted learning is not correlated with emotional exhaustion¶
Claim · All claims
Evidence · 1 study (2 entries) · associationalr2·q2·i3large
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 i3 Hardiness correlates most strongly with reduced academic accomplishment (r = −0.631, p < 0.001). → Wang W and Zhang Q 2026
q2 i? AI-assisted autonomous learning is not significantly correlated with emotional exhaustion, though it correlates positively with reduced academic accomplishment (r = 0.164–0.227). → Wang W and Zhang Q 2026 (2)
Evidence¶
Wang W and Zhang Q 2026¶
Wang W and Zhang Q (2026). AI-assisted autonomous learning and reduced academic accomplishment in vocational higher education: the mediating role of hardiness. Front. Psychol. 17:1848291. https://doi.org/10.3389/fpsyg.2026.1848291
q2 · i3 · associational · r2
Pearson correlation analysis among the 1,264 surveyed students. The strongest association was "between hardiness and reduced academic accomplishment, r = −0.631, p < 0.001", supporting the focus on reduced academic accomplishment as the primary outcome.
"The strongest asso-ciation was observed between hardiness and reduced academic accomplishment, r = −0.631, p < 0.001."
Wang W and Zhang Q 2026 (2)¶
Wang W and Zhang Q (2026). AI-assisted autonomous learning and reduced academic accomplishment in vocational higher education: the mediating role of hardiness. Front. Psychol. 17:1848291. https://doi.org/10.3389/fpsyg.2026.1848291
q2 · i? · associational · r2
Correlational analysis of the same survey sample. AI-assisted autonomous learning "was not significantly correlated with emotional exhaustion" but its seven dimensions correlated positively with reduced academic accomplishment (r = 0.164 to 0.227, ps < 0.001).
"AI-assisted autonomous learning was not significantly correlated with emotional exhaustion. However, its seven dimensions were sig-nificantly and positively correlated with behavioral disengagement, reduced academic accomplishment, and total academic burnout."
Discussion¶
Related Claims¶
- AI-assisted autonomous learning is negatively associated with hardiness among vocational college students — related
- AI-assisted autonomous learning is positively associated with reduced academic accomplishment — related
- Hardiness is negatively associated with reduced academic accomplishment — possibly the same claim (merge candidate)
- Academic burnout is widespread among secondary vocational students — related
- Educators report affective costs of AI-related grading, including derealisation, exhaustion, and burnout — related
- Exhaustion is significantly negatively related to academic achievement (rc+ = −.15) — related
- Reduced efficacy shows the largest negative correlation with academic achievement (rc+ = −.39) — related
- Teacher burnout dimensions show the strongest correlations with CMSE among teacher-level psychometric constructs — related
- Study demands lead to exhaustion and self-undermining behaviors, instigating a loss spiral — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
correlation-pattern-hardiness-raa-strongest |
title |
Hardiness shows its strongest burnout correlation with reduced academic accomplishment, while AI-assisted learning is not correlated with emotional exhaustion |
description |
Hardiness shows its strongest burnout correlation with reduced academic accomplishment, while AI-assisted learning is not correlated with emotional exhaustion |
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 |
2 — wang-w-and-zhang-q-2026, wang-w-and-zhang-q-2026-2 |
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