Resistance or resilience? University music teachers' active learning intention in response to the emergence of artificial intelligence
Bibliographic Data
| ID | 9405941 |
|---|---|
| Authors | Minghui Luo (0000-0003-1054-9569, Northwest Normal University, corresponding author), Miao Luo (0009-0001-5902-3165), Shuang Liang (0000-0002-2529-9788, Kaifeng University) |
| Year | 2025 |
| Volume | 261 |
| Pages | 105775-105775 |
| Publication date | 2025-10-21 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Acta Psychologica (JOURNAL) |
| Journal identifiers | ISSN: 0001-6918 • E-ISSN: 1873-6297 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.actpsy.2025.105775 |
| PMID | 41124926 |
| OpenAlex | W4415396030 |
| Language | EN |
| Citations received | 1 |
| References cited | 43 |
This study examines Chinese university music teachers' responses to AI integration using structural equation modeling (N = 317). Through Conservation of Resources (COR) theory, we investigate relationships between technology impact awareness, job insecurity, proactive personality, and active learning intention. Results reveal a "technology impact-job insecurity decoupling effect": technology awareness directly motivates learning (β = 0.519, p < 0.001) without triggering job insecurity as mediator. While job insecurity positively influences learning intention (β = 0.338, p < 0.001), it does not mediate the technology-learning relationship. Proactive personality moderates the insecurity-learning link (β = 0.132, p < 0.001). To explain this decoupling, we propose an "art-technology cognitive separation" mechanism whereby music teachers perceive AI as an auxiliary tool enhancing rather than threatening their artistic core. These finding challenges traditional assumptions that technological threats necessarily induce occupational anxiety before motivating adaptation. The study extends COR theory to creative professions and suggests institutions should focus on increasing AI awareness through opportunity-framed exposure rather than threat-based messaging, while tailoring support strategies to teachers' personality traits
Grit, Self-Efficacy, and Motivation · Perfectionism, Procrastination, Anxiety Studies · Resilience and Mental Health
Statistical Power Analysis for the Behavioral Sciences
A Two-dimensional Approach to Job Insecurity
Job Insecurity
How to Use a Monte Carlo Study to Decide on Sample Size and Determine Power
Personality and Coping
The job crafting intervention
Modeling the antecedents of proactive behavior at work.
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No security
Toward a Self-Evaluation Maintenance Model of Social Behavior
Social media overload, exhaustion, and use discontinuance
Smart Technology, Artificial Intelligence, Robotics, and Algorithms (STARA)
Index Construction with Formative Indicators
The theory of planned behavior
Evaluating Structural Equation Models with Unobservable Variables and Measurement Error
The Influence of Culture, Community, and the Nested‐Self in the Stress Process
Partial least squares structural equation modeling (PLS-SEM)
Getting to the “COR”
An Artificial Intelligence‐Based Interactive Learning Environment for Music Education in China
Sample Size Requirements for Structural Equation Models
Conservation of Resources in the Organizational Context
A Critical Review of Construct Indicators and Measurement Model Misspecification in Marketing and Consumer Research
Does job insecurity lead to impaired well‐being or vice versa? Estimation of cross‐lagged effects using latent variable modelling
Hotel employee's artificial intelligence and robotics awareness and its impact on turnover intention
The reciprocal within‐person relationship between job insecurity and life satisfaction
Conservation of resources
The proactive component of organizational behavior
| Unique citing works | 1 |
|---|---|
| Citations per year | 1 |
| Citation span | 2026 - 2026 (1) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 1 |