Mixed-methods analysis reveals AI integration improves teaching effectiveness in preschool, highlighting self-efficacy and technological proficiency implications.
Artificial Intelligence (AI) has the potential to transform preschool teacher education, particularly in the domain of health education, yet its effective integration remains underexplored in socioeconomically diverse regions. Understanding the psychological and technical factors that influence AI adoption is essential for improving early childhood education outcomes. This study examines the mediating role of self-efficacy and the moderating effect of technological proficiency in the relationship between AI integration and teaching effectiveness among preschool teachers. A mixed-methods approach was employed, involving 475 preschool teachers from Henan Province, China. Data were gathered using validated survey instruments and semi-structured interviews. The results revealed that AI integration positively influences teaching effectiveness, primarily through increased teacher confidence. Technological proficiency also plays a supporting role in enhancing instructional effectiveness. These findings highlight the importance of targeted training, equitable access to AI tools, and professional development programs that foster teacher readiness and confidence in adopting AI into early childhood education.
No takes yet. Share an insight, caveat, or question.
Wang et al. (2025) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: