Evidence map›Paper›PMID 42564868›Full record

ArticleFrontiers in psychology2026

The influence of physical activity self-efficacy on the continuance use of AI learning tools among physical education students: a three-wave longitudinal study.

Junhao Zhang, Lu Zhen, Junhui Zhu, Mujuan Zhao, Jing Li, Fang Tan

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.

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0citing papers in PubMed
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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Junhao Zhang *Department of Physical Education, Guizhou Medical University, Guiyang, China.
Lu Zhen *Department of Physical Training and Sports, Saint Euphrosyne Polotsk State University, Polotsk, Belarus.
Junhui Zhu *Department of Physical Education, Faculty of Education, Universiti Kebangsaan Malaysia, Bangi, Malaysia.
Mujuan ZhaoDepartment of Physical Education, Kyungpook National University, Sangju, Republic of Korea.
Jing LiDepartment of Physical Education, Sichuan Tianfu New District Experimental Primary School, Chengdu, China.
Fang TanDepartment of Physical Education, State University of Jakarta, Jakarta, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Grounded in the context of physical education and based on the Technology Acceptance Model (TAM), this study examined the time-separated associations between physical activity self-efficacy and the continuance use of AI learning tools among physical education students through multiple chained mediation pathways involving perceived ease of use, perceived usefulness, attitude toward use, and behavioral intention to use. Methods: A three-wave longitudinal design was employed. Data were collected from physical education students in April 2025 (T1), July 2025 (T2), and November 2025 (T3), resulting in 511 successfully matched samples. Physical activity self-efficacy was measured at T1; perceived ease of use, perceived usefulness, attitude toward use, and behavioral intention to use were measured at T2; and continuance use behavior was measured at T3. Structural equation modeling (SEM) and the Bootstrap method (5,000 resamples) were used to test multiple chained mediation effects within the TAM framework. Results: All five chained mediation pathways (H1-H5) were statistically significant, and the overall chained mediation effect was 0.113 (95% CI [0.083, 0.143]). The chained mediation effect for path aegh was significant (β = 0.011, 95% CI [0.006, 0.018], Conclusion: Among Chinese physical education students, the continuance use of AI learning tools appears to be associated with physical activity self-efficacy through a time-separated process involving perceived ease of use, perceived usefulness, attitude toward use, and behavioral intention to use. Based on three-wave longitudinal data, this study provides evidence that physical activity self-efficacy may function as a domain-specific psychological antecedent associated with self-reported continuance use behavior through TAM-based cognitive, attitudinal, and intentional processes in the context of physical education.

Indexed as

AI learning toolsContinuance use behaviorPhysical activity self-efficacyPhysical education studentsTechnology acceptance model

Identifiers

PMID42564868
PMCPMC13444371

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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.