ArticleFrontiers in psychology2025
Development and validation of a digital burnout scale in artificial intelligence era.
Article in Frontiers in psychology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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Who cites it
2 citing papers in PubMed.
- AI information encounters and university students' digital burnout: the mediating role of cognitive flexibility and the moderating effect of AI learning trust.Frontiers in psychology · 2026Article
- Digital governance pressure and digital burnout among grassroots public sector employees: the mediating roles of cognitive load and negative affect.Frontiers in psychology · 2026Article
Corrections and comments
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Authors and funding
7 authors.
Funding
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Abstract
Introduction: The rapid adoption of AI-driven digital technologies in higher education has intensified students' exposure to digital demands, increasing the risk of digital burnout. Existing research lacks validated instruments that capture the multidimensional nature of digital burnout in AI-enhanced learning environments. This study aimed to develop and validate a comprehensive Digital Burnout Scale for college students, grounded in the Stressor-Strain-Outcome (SSO) model and Conservation of Resources (COR) theory. Methods: Using a multi-stage mixed-methods design, the study first conducted qualitative interviews to generate item pools, followed by large-scale survey data for quantitative validation. Exploratory and confirmatory factor analyses were performed to establish construct validity, supplemented by reliability testing and model comparison. Results and discussion: Findings supported a six-dimension structure of digital burnout: Digital Aging, Emotional Exhaustion, Cognitive Overload, Cognitive Dissonance, Digital Deprivation, and Behavioral Addictions. All dimensions demonstrated satisfactory convergent and discriminant validity, indicating strong psychometric robustness of the scale. The scale provides a reliable and theory-driven tool for assessing student digital burnout in the AI era. It offers practical value for educators and administrators seeking to identify high-risk groups and design targeted interventions.
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Registered trials
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