Social Sciences & Humanities Open· 2026Q1
Negotiating AI integration in higher education curricula: Coping behaviour or career opportunity?
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- Q1SCImago
- 2026year
Short summary
Educators perceive AI as both a professional growth opportunity and a source of adjustment challenges, with self-efficacy, resilience, and social support driving AI engagement, while symptom distress influences coping mechanisms.
AI-generated from the title and abstract; the full text is not read.
Key points
- AI is perceived by educators as both a career opportunity and a source of adjustment challenges.
- Self-efficacy, resilience, and social support positively influence educators' engagement with AI.
- Symptom distress is a key factor in shaping educators' coping responses to AI integration.
- The study integrates Stimulus-Organism-Response, Social Cognitive Career Theory, and Stress Theory to explain educators' career adaptability.
AI-generated from the title and abstract; the full text is not read.
Abstract
This study examines how higher education educators perceive artificial intelligence (AI) as both a coping resource and a catalyst for career development. Grounded in the Stimulus-Organism-Response (S-O-R) framework and integrating Social Cognitive Career Theory (SCCT) with Lazarus and Folkman's Stress Theory (L&FST), the study explores how psychological and motivational factors shape career adaptability. Data were collected from 155 educators using structured surveys. Reliability and validity were established, and relationships among variables were tested using Partial Least Squares Structural Equation Modeling (PLS-SEM), a variance-based technique used to assess complex relationships between latent constructs. Results show that self-efficacy, resilience, and social support positively influence engagement with AI, while symptom distress shapes coping responses. The findings demonstrate that AI simultaneously enables professional growth and induces adjustment challenges. This study contributes an integrated framework explaining educators' career responses to technological change.
The authors' abstract, as published at the source. Social Sciences & Humanities Open, 2026 · DOI ↗
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Field: Computer Science Applications
Computer Science ApplicationsComputer Science