In the TAM structural model, satisfaction mediated sustained use: usability strongly predicted usefulness (β = 0.93), usefulness predicted satisfaction (β = 0.76), but usefulness did not directly predict use intention (β = 0.02, p = .896)¶
Claim · All claims
Evidence · 1 study (2 entries) · 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? Usability had a strong significant positive effect on usefulness (β = 0.93, p < .001), and usefulness significantly influenced satisfaction (β = 0.76, p < .001). → Li 2026
q2 i? Satisfaction strongly predicted use intention (β = 0.76, p < .001) and usage (β = 0.60, p < .001), while several direct paths were not significant. → Li 2026 (2)
Evidence¶
Li 2026¶
Li, X., Liu, Z., Jiang, S., Chen, J., & Chen, W. (2026). The impact of an LLM-based educational agent on learning achievement, cognitive dynamics, and student perceptions in computer science education. International Journal of STEM Education. https://doi.org/10.1186/s40594-026-00641-y
q2 · i? · causal · r2
SEM (semopy v2.3.11) on 151 valid survey responses, acceptable fit (χ2/df = 2.994, CFI = 0.923, TLI = 0.906, RMSEA = 0.105), shows usability strongly predicted usefulness and usefulness predicted satisfaction, while direct effects on use intention and usage "did not reach the significance level".
"Usability had a strong and significant positive effect on usefulness (β = 0.93, p < .001). Usefulness, in turn, significantly influences satisfaction (β = 0.76, p < .001), although its direct effects on use intention ( β = 0.02, p = .896) and usage (β = 0.39, p = .053) did not reach the significance level."
Li 2026 (2)¶
Li, X., Liu, Z., Jiang, S., Chen, J., & Chen, W. (2026). The impact of an LLM-based educational agent on learning achievement, cognitive dynamics, and student perceptions in computer science education. International Journal of STEM Education. https://doi.org/10.1186/s40594-026-00641-y
q2 · i? · causal · r2
SEM path analysis identifies satisfaction as "a critical mediating factor" with strong direct effects on use intention (β = 0.76, p < .001) and usage (β = 0.60, p < .001); direct paths from usability to satisfaction, usefulness to use intention, and use intention to usage were not significant.
"Satisfaction serves as a critical mediating factor, exhibiting a strong direct impact on both use intention (β = 0.76, p < .001) and usage (β = 0.60, p < .001)."
Discussion¶
Related Claims¶
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- SDT need satisfaction predicted post-intervention willingness beyond baseline capacity, while post-intervention TPACK showed only a weak, non-significant association with willingness — related
- Behavioural intention to use GenAI tools significantly predicts in-service teachers' self-reported pedagogical digital competence for curriculum planning — related
- In Study 1, Penquiry V1 reduced physical demand and better maintained learning flow, and received higher TAM ratings, than a keyboard baseline — related
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Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
satisfaction-mediates-agent-use |
title |
In the TAM structural model, satisfaction mediated sustained use: usability strongly predicted usefulness (β = 0.93), usefulness predicted satisfaction (β = 0.76), but usefulness did not directly predict use intention (β = 0.02, p = .896) |
description |
In the TAM structural model, satisfaction mediated sustained use: usability strongly predicted usefulness (β = 0.93), usefulness predicted satisfaction (β = 0.76), but usefulness did not directly predict use intention... |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2026 |
generated |
by process:wiki-ingest on 2026-10-11 |
trust |
unverified — no one has confirmed this page's content |
sources |
2 — li-2026, li-2026-2 |
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