Claims

Effort expectancy is associated with AI use only indirectly through competence, whereas hedonic motivation shows a direct positive association

Claim · All claims
Evidence · 1 study (2 entries) · 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? Effort expectancy was associated with pedagogical AI competence (β = 0.28, p = .006) and indirectly with AI use (β = 0.12, p = .021), with a non-significant direct path. → Feng 2026 q2 i? Hedonic motivation showed a significant direct positive association with AI use (β = 0.19, p = .029), independent of competence. → Feng 2026 (2)

Evidence

Feng 2026

Feng, S., Koch, M. J., & Carolus, A. (2026). AI Mindset – An empirically tested theoretical framework on the psychological factors shaping AI competence and AI use. Computers in Human Behavior: Artificial Humans. https://doi.org/10.1016/j.chbah.2026.100402

q2 · i? · associational · r2

Discussion of the SEM results for the teacher sample. The discussion states effort-related appraisals showed an indirect association with AI use through competence; the results section prints the competence path (β = 0.28, p = .006), the indirect effect (β = 0.12, p = .021), and a non-significant direct path (β = -0.08, p = .319).

"Effort-related appraisals showed an indirect association with AI use through competence, indicating that perceptions of the ease, usability, and effort required to use AI tools may be related to AI use primarily by supporting the competence required to implement AI in educational practice."

Feng 2026 (2)

Feng, S., Koch, M. J., & Carolus, A. (2026). AI Mindset – An empirically tested theoretical framework on the psychological factors shaping AI competence and AI use. Computers in Human Behavior: Artificial Humans. https://doi.org/10.1016/j.chbah.2026.100402

q2 · i? · associational · r?

Discussion of the SEM results for the same sample. The discussion reports hedonic motivation showed a direct positive association with AI use; the results section prints the direct path as β = 0.19, p = .029, with a non-significant indirect effect via competence.

"In contrast, affective reward appraisals, reflected by hedonic motivation, showed a direct positive association with AI use, suggesting that experiential enjoyment may be related to AI engagement indepen - dent of perceived competence."

Discussion

Page metadata
Field Value
type claim
id effort-expectancy-mediated-hedonic-motivation-direct
title Effort expectancy is associated with AI use only indirectly through competence, whereas hedonic motivation shows a direct positive association
description Effort expectancy is associated with AI use only indirectly through competence, whereas hedonic motivation shows a direct positive association
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 2 — feng-2026, feng-2026-2

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