HKU Moodle

This course offers a foundational introduction to artificial intelligence (AI) literacy within the framework of STEAM education, emphasizing the thoughtful integration of AI concepts, practical applications, and both ethical and safety considerations into contemporary K–12 school curricula. Students will examine core AI principles, explore a diverse range of real-world applications, and critically assess the transformative potential of AI-driven technologies such as generative models, virtual assistants, and automated content creation tools that are increasingly relevant across STEAM disciplines. Grounded in constructionist and experiential learning theories, the course provides a dynamic blend of hands-on activities, interactive tutorials, and reflective discussions designed to foster critical thinking and ethical awareness. Students are encouraged to interrogate the opportunities and challenges posed by AI in educational contexts, including issues related to misinformation, algorithmic bias, data privacy, and responsible technology use. Through active engagement with practical projects and collaborative problem-solving, students will develop essential skills, innovative pedagogical strategies, and critical perspectives. By the end of the course, participants will be familiar with the foundations necessary to develop creative, ethical, and effective learning experiences that can promote AI literacy in K–12 educational settings, especially primary and secondary classrooms.

This course focuses on the foundations of computational thinking as a 21st-century literacy skillset for problem-solving, with a strong emphasis on the transformative role of artificial intelligence (AI) tools in modern education. It aims to cultivate students' understanding of computational thinking, its implications for emerging digital technologies such as AI, and its integration into technology education from a global perspective. The curriculum explores critical educational issues, including policy reforms, curriculum development, learning theories, teacher education, social justice, learning technologies, interdisciplinary teaching, and the application of AI tools to enhance teaching and learning practices. By showcasing the potential of AI to foster innovative pedagogy, personalized learning, and advanced problem-solving, this course equips K–12 trainee teachers—across kindergarten, primary, and secondary levels—to effectively incorporate computational thinking and AI into local school-based curricula. Through hands-on classroom teaching-learning experiences, interactive tutorials, and discussions with seasoned in-service teachers, students will gain valuable insights into real-world cases of implementing computational thinking and AI-enriched education.