TY - GEN
T1 - Empowering Teacher Agency in the Era of Artificial Intelligence
T2 - 18th International Conference on Blended Learning, ICBL 2025
AU - Li, Meng
AU - Wang, Yuping
AU - Han, Xibin
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.
PY - 2025
Y1 - 2025
N2 - This study explores teacher agency and strategies for extending teacher agency to meet the challenges brought about by the rapid Artificial Intelligence (AI) advancements. It adopts the concept of teacher agency, rather than teacher competency, to explore the complexities of teacher professional development. It builds upon the growing body of research that explores teacher agency through a systems approach, emphasizing the interdependent, interactive and evolving nature of teacher agency. Using the AI competency framework proposed by UNESCO as a foundation, this research investigates the current state of AI-empowered teaching practices in vocational colleges and schools in China. By analyzing empirical data from a survey, it provides insights into how teachers engage with AI technologies at different agency levels—ranging from basic adoption to pedagogical innovation and leadership in shaping AI-empowered education. The study underscores the importance of a human-centered mindset to AI in education, an approach which ensures that teachers retain agency while leveraging AI to innovate students' learning experience and teachers’ life-long professional development. Based on its findings, the study proposes strategies for expanding teacher agency at various stages of growth. These include equipping educators with AI knowledge and application skills, fostering awareness of the ethical and sociocultural implications of AI, deepening pedagogical strategies for meaningful AI integration, and promoting continuous professional development through AI-powered tools.
AB - This study explores teacher agency and strategies for extending teacher agency to meet the challenges brought about by the rapid Artificial Intelligence (AI) advancements. It adopts the concept of teacher agency, rather than teacher competency, to explore the complexities of teacher professional development. It builds upon the growing body of research that explores teacher agency through a systems approach, emphasizing the interdependent, interactive and evolving nature of teacher agency. Using the AI competency framework proposed by UNESCO as a foundation, this research investigates the current state of AI-empowered teaching practices in vocational colleges and schools in China. By analyzing empirical data from a survey, it provides insights into how teachers engage with AI technologies at different agency levels—ranging from basic adoption to pedagogical innovation and leadership in shaping AI-empowered education. The study underscores the importance of a human-centered mindset to AI in education, an approach which ensures that teachers retain agency while leveraging AI to innovate students' learning experience and teachers’ life-long professional development. Based on its findings, the study proposes strategies for expanding teacher agency at various stages of growth. These include equipping educators with AI knowledge and application skills, fostering awareness of the ethical and sociocultural implications of AI, deepening pedagogical strategies for meaningful AI integration, and promoting continuous professional development through AI-powered tools.
KW - AI-empowered Education
KW - Artificial Intelligence (AI)
KW - Competency Framework
KW - Teacher Agency
UR - http://www.scopus.com/pages/publications/105009962323
U2 - 10.1007/978-981-96-8430-4_1
DO - 10.1007/978-981-96-8430-4_1
M3 - Conference contribution
AN - SCOPUS:105009962323
SN - 9789819684298
T3 - Lecture Notes in Computer Science
SP - 3
EP - 16
BT - Blended Learning. Sustainable and Flexible Smart Learning - 18th International Conference on Blended Learning, ICBL 2025, Proceedings
A2 - Ma, Will W. K.
A2 - Cheung, Simon S. K.
A2 - Li, Chen
A2 - Prayadsab, Praewpran
A2 - Mungwattana, Anan
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 22 July 2025 through 25 July 2025
ER -