Self-Reported Preparedness and Factors Influencing AI Tools Integration in Teaching Among Master's Degree Students in a Selected Teachers Education College

Abstract

Against the backdrop of the transformative potential of artificial intelligence (AI) in various sectors, its increasing integration in the field of education has garnered attention for its potential to enhance teaching effectiveness and overall academic quality (Rosales et al., 2020; Wartman, 2018; Chassignol et al., 2018; Chen et al., 2020). This study focuses on the self-preparedness of Master’s degree students and the factors influencing the integration of AI tools in teaching practices within a selected Teacher Education college, recognizing the critical role of AI in shaping the future of education (Fitria, 2021). The findings revealed a positive correlation between self-preparedness and various factors, emphasizing Ai’s transformative potential in education. Recommendations include inclusive professional development, gender-responsive training, and ongoing support for educators. Collaborative networks, research and development, policy guidelines for ethical AI use are suggested. The study underscores the need for ongoing research on AI’s long-term impact and cultural influences in education, prioritizing diversity and ethical considerations for effective implementation.