Claims

Habit shows the strongest direct and competence-mediated associations with teachers' AI use

Claim · All claims
Evidence · 1 study · associational r? · 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? Habit was significantly associated with pedagogical AI competence (β = 0.31, p < .001) and with AI use directly (β = 0.28, p = .005) and indirectly via competence (β = 0.14, p = .011). → Feng 2026

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 · r?

Structural equation model results for the same teacher sample (n = 205 analysed). The direct-effect sentence reports "habit (β = 0.28, p = .005)" as a significant direct association with AI use; the competence path (β = 0.31, p < .001) and indirect effect (β = 0.14, p = .011) come from the same results section.

"In addition, significant direct associations with AI use were observed for technology-related appraisals and contextual and social factors: habit (β = 0.28, p = .005), hedonic motivation (β = 0.19, p = .029), and AI-related fear (β = 0.15, p = .008)."

Discussion

Page metadata
Field Value
type claim
id habit-strongest-association-teacher-ai-use
title Habit shows the strongest direct and competence-mediated associations with teachers' AI use
description Habit shows the strongest direct and competence-mediated associations with teachers' AI use
status review
evidence_strength moderate
newest_evidence 2026
generated by process:wiki-ingest on 2026-10-12
trust unverified — no one has confirmed this page's content
sources 1 — feng-2026

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