Region - Educational Research and Reviews

The integration of AI necessitates re-evaluating pre-service teachers' readiness beyond mere technical skills, focusing on psychological capital like self-efficacy and resilience. This bibliometric study mapped the literature intersecting "pre-service teachers" AND "Artificial Intelligence" to chart the evolving knowledge structure regarding psychological preparedness, especially self-efficacy. Using ERIC data, the analysis tracked the paradigm shift post-2020 through clustering and burst detection. Findings reveal a shift from tool skills to deeper pedagogical and psychological alignment. Literature clustered into four domains: Proficiency, Pedagogy, Learner Factors, and Ethics, with recent surges in terms related to AI-induced stress and resilience training. This study pioneers mapping the Tech-Psychology lineage, confirming that mastery experiences are now mediated by AI feedback. The core insight is that effective AI teacher education must function as a Self-Efficacy and Well-being Support System. We mandate cultivating AI teaching self-efficacy and resilience through cognitive standards, personalized mastery scaffolding, and data-driven feedback to proactively mitigate psychological strain.