CityU scholars deliver talks on teacher development and talent cultivation in the age of AI at local high school
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To promote educational innovation and teacher professional development in the era of artificial intelligence (AI), Associate Professor Zheng Longwei and Assistant Professor Huang Biyun from the School of Education of the City University of Macau (CityU) recently conducted specialized training for teachers at a local school, Colégio Mateus Ricci. The training focused on teacher development and talent cultivation in the age of AI, leading to in-depth discussions. Principal Cheung Wai Ling welcomed the scholars from CityU, and the training was well-received by all teachers at the school. At the talks, participants jointly explored the development of digital education and subject integration in the era of AI, providing new inspirations for educational practices in this field.
Subsequently, Assistant Professor Huang held a dedicated seminar with Principal Cheung and her administrative and IT team, discussing on how to effectively cultivate students’ core competencies in the AI era. She also guided all teachers in exploring innovative pathways for digital education.
Associate Professor Zheng Longwei provided an in-depth analysis of the current trends in the application of AI technology in primary education, focusing on policy support and practical pathways. He introduced the “Master Plan on Building China into a Leading Country in Education (2024-2035)” and the “Guidelines for the Use of Generative AI in Primary and Secondary Schools (2025 Edition)”, indicating that the country is implementing policies to accelerate the regulation of the digital transformation in education. Zheng emphasized the strategic shift from “promoting educational development” to “driving educational reform”, highlighting that AI technology has become a key force in reshaping teaching models and learning ecosystems.
During the training, Associate Professor Zheng explained the core principles and educational values of large language models (LLMs) and generative AI, along with practical case analyses across multiple areas, including lesson preparation, personalized learning support, precise assessment, classroom interaction, and smart management of education. He presented the role of “AI agents” in teaching, illustrating how generative AI platforms could create immersive and autonomous learning environments for students. He also introduced a new paradigm of “teacher-AI-student” collaboration, emphasizing that in an AI-empowered educational system, teachers are no longer just knowledge transmitters but collaborators in generating content, interpreters of generative data, and guides for intelligent agents. Zheng regarded generative AI technology not only significantly alleviated teachers’ workloads but also facilitated substantial breakthroughs in personalized education.
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Assistant Professor Huang Biyun focused on “Interdisciplinary STEM Education: Trends and Examples”, delving into the trends in STEM education and the core competencies students needed to develop in the AI era. She combined examples from typical software platforms and community integration to explain practical pathways for future talent development. Additionally, various brainstorming sessions were held to gather ideas and discuss specific approaches for promoting students’ civic awareness and innovative abilities.
Taking this training as an opportunity, both parties hoped to further explore the establishment of a long-term cooperation mechanism, continuously promoting teachers’ professional growth and the development of students’ core competencies, thereby promoting educational reform in the AI era.
Source: School of Education
