AI Policy and Guidelines in Education
Professor Chan is internationally recognised for her work in AI policy development for education, where she focuses on and promotes the responsible and effective integration of artificial intelligence into teaching and learning environments. Her work has led to the development of the AI Ecological Education Policy Framework, a comprehensive guide that has garnered widespread adoption by educational organisations and governments worldwide, underscoring its relevance and impact on a global scale.
The AI Ecological Education Policy Framework serves as a roadmap for navigating the complexities of AI integration in education. Structured around three core dimensions—Pedagogical, Governance, and Operational, it offers a holistic approach to addressing the multifaceted challenges and opportunities presented by AI integration in university teaching and learning. The Pedagogical dimension emphasises leveraging AI to enhance educational outcomes, while the Governance dimension tackles critical issues related to privacy, security, and accountability. The Operational dimension focuses on optimising infrastructure and providing necessary training to stakeholders, ensuring a seamless and responsible integration of AI technologies in educational settings.
The development of this framework has allowed Professor Chan to pave the way towards a nuanced understanding of the implications of AI in education, empowering stakeholders to make informed decisions and take proactive measures to harness the full potential of AI technologies while upholding ethical standards and best practices. For further insights into our research and the AI Ecological Education Policy Framework, please stay tuned for updates and publications on our website.
Please read: Chan, C. K. Y. (2023). A comprehensive AI policy education framework for university teaching and learning. International Journal of Educational Technology in Higher Education. DOI: 10.1186/s41239-023-00408-3