TITLE:
Artificial Intelligence Enabled in Teacher Leadership: Perspectives of EDUHK Pre-Service Teachers
AUTHORS:
Jiajia Li, Yiming Shan
KEYWORDS:
Artificial Intelligence, Teacher Leadership, Pre-Service Teachers, Educational Technology
JOURNAL NAME:
Open Access Library Journal,
Vol.12 No.4,
April
30,
2025
ABSTRACT: This study investigates the impact of artificial intelligence (AI) on teacher leadership from the perspectives of pre-service teachers at the Education University of Hong Kong (EDUHK). With the rapid advancement of technology, AI is transforming educational practices, enhancing teaching efficiency, and personalizing learning experiences. The research employs a qualitative phenomenological approach, utilizing semi-structured interviews with five pre-service teachers who have experience with AI in educational settings. Findings reveal that AI facilitates innovative teaching methods, improves resource allocation, and supports data-driven decision-making, thereby fostering leadership capabilities among prospective educators. However, challenges such as the need for AI literacy, ethical considerations, and the importance of face-to-face interactions with students were also identified. The study concludes that while AI offers significant opportunities for enhancing teacher leadership, it necessitates critical engagement and ongoing professional development to navigate its complexities effectively.