Evidence map›Paper›PMID 42553128›Full record

ArticleFrontiers in psychology2026

Generative AI acceptance and professional autonomy development among Chinese university physical education teachers: a moderated conditional process model.

Xiao Chen, Qishun Yang, Mingliang Song, Yuejun Zheng, Chen Lei

Abstract read
In one paragraph

Article in Frontiers in psychology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Xiao ChenSchool of Football, Wuhan Sports University, Wuhan, China.
Qishun YangSchool of Physical Education and International Equestrian College, Wuhan Business University, Wuhan, Hubei, China.
Mingliang SongSchool of Football, Wuhan Sports University, Wuhan, China.
Yuejun ZhengSchool of Sports Training, Tianjin University of Sport, Tianjin, China.
Chen LeiDepartment of Physical Education, Zhongnan University of Economics and Law, Wuhan, Hubei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Generative artificial intelligence (GenAI) is increasingly being integrated into educational settings, reshaping teaching practices and teacher professional development. This study examined whether GenAI acceptance was associated with teacher professional autonomy development (PAD) among university physical education teachers through the indirect roles of teaching innovation and learning motivation, and whether technology anxiety moderated these associations. Methods: The study included a preliminary pilot survey and a main questionnaire survey. The pilot survey assessed item clarity, contextual suitability, feasibility, and preliminary reliability. Formal hypothesis testing was based on main-survey data from 1,020 Chinese university physical education teachers. A moderated serial conditional process model was estimated using PROCESS Model 92 with observed composite scores and 5,000 bootstrap resamples. Results: GenAI acceptance was significantly associated with PAD (total effect = 0.563, 95% CI [0.512, 0.615]). Teaching innovation and learning motivation showed significant indirect associations, accounting for 20.07% and 15.81% of the total association, respectively. The serial indirect association involving both teaching innovation and learning motivation accounted for an additional 5.15% (effect = 0.029, 95% CI [0.018, 0.041]). Technology anxiety weakened the positive associations between GenAI acceptance and both teaching innovation and learning motivation, with stronger attenuation observed for the teaching innovation association. Conclusions: The findings suggest that GenAI acceptance is positively associated with PAD among university physical education teachers and that teaching innovation and learning motivation may represent indirect correlates of this association. Technology anxiety may weaken these associations. Because teaching innovation, learning motivation, and PAD were measured in the same main survey, the findings should be interpreted as regression-based conditional process associations rather than causal, cross-lagged, or developmental effects.

Indexed as

generative artificial intelligencelearning motivationteacher professional autonomy developmentteaching innovationtechnology anxietyuniversity physical education teachers

Identifiers

PMID42553128
PMCPMC13433364

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.