ArticleBMC psychology2026
How does digital resilience affect the behavioral intention to use generative AI among university students in physical education courses? A quantitative study in Chinese ethnic regions.
Article in BMC 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.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
backgroundIn the age of Artificial Intelligence (AI), physical education is undergoing tremendous changes. For ethnic students, it is even more important to adapt to challenges, maintain mental health, and improve their digital resilience (DR) in the complex digital environment. However, research on the DR of university students in ethnic minority areas is still very limited.
methodsIn this study, the PLS-SEM method was used to reveal the factors influencing the use of Generative artificial intelligence (GenAI) in university students’ behavioural intention (BI) based on the UTAUT model and their interrelationship with the mediating variable DR. A total of 803 valid data were collected and analyzed using SmartPLS 4 software.
resultsThe study found that performance expectancy (PE) and effort expectancy (EE) had a positive and significant impact on the DR of ethnic students in the physical education classroom using GenAI, and DR had a very strong positive impact on BI.
conclusionsThis study offers practical implications for course design and student support, providing empirical references for integrating GenAI into university physical education courses and fostering students’ DR within regional higher education contexts.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.