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AI LITERACY IN EDUCATION

This project focuses on advancing AI literacy as a critical 21st-century competency for both educators and learners. As artificial intelligence becomes increasingly embedded in educational tools and systems, it is essential to ensure that users can understand how AI works, critically evaluate its outputs, and engage with it ethically and effectively. The project aims to explore what it means to be AI literate in educational settings, identify the core knowledge and skills required, and design learning experiences that support the development of these competencies. By doing so, we seek to empower educators and students to become informed users and thoughtful contributors in AI-powered learning environments.

SUBPROJECTS


Current Status of Pre-Service Teachers’ AI Literacy

This study conducts a holistic analysis examining pre-service teachers' AI literacy for providing insights about current understanding of AI technologies, perceptions of the applications of AI in education, ethical issues and strategies for effectively enhancing AI literacy. Guided by Bloom's Taxonomy, a comprehensive, layered survey was designed to systematically evaluate pre-service teachers' AI literacy competencies. The Technology Acceptance Model 3 (TAM3) was mapped onto each layer to design questions that identify factors influencing pre-service teachers' AI literacy proficiency.

Publications

Journal

Pei, B., Lu, J., & Jing, X. (2025). "Empowering preservice teachers’ AI literacy: Current understanding, influential factors, and strategies for improvement." Computers and Education: Artificial Intelligence, 8, 100406, ISSN 2666-920X.

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Other Research Areas