Multiple sufficient configurations lead to high AI literacy performance (equifinality)¶
Claim · All claims
Evidence · 1 study · causalr2·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? fsQCA identified three sufficient configurations for high performance, with solution coverage 0.588 and consistency 0.913. → Yu S 2026
Evidence¶
Yu S 2026¶
Yu S, Lin Y and Chen C (2026) Designing for AI literacy: psychological mechanisms and self-determination. Front. Psychol. 17:1937845. https://doi.org/10.3389/fpsyg.2026.1937845
q2 · i? · causal · r2
fsQCA of the same 320 cases identified three sufficient configurations: TBI+STT+high competence, SBI+OET+high autonomy, and TBI+OET+high competence. Overall solution coverage 0.588, consistency 0.913, demonstrating equifinality.
"The three sufficient configurations are presented in Table 8. Their consistencies were 0.923, 0.896, and 0.941; raw coverages were 0.386, 0.357, and 0.458; and unique coverages were 0.089, 0.072, and 0.156. Overall solution coverage was 0.588 and overall solution consistency was 0.913."
Discussion¶
Related Claims¶
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Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
fsqca-multiple-pathways-high-ai-literacy |
title |
Multiple sufficient configurations lead to high AI literacy performance (equifinality) |
description |
Multiple sufficient configurations lead to high AI literacy performance (equifinality) |
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 — yu-s-2026 |
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