Dr. Cheung, Ho Yin

I am an educational researcher and practitioner with a passion for blending traditional teaching methods with innovative approaches, especially in the context of technology-enhanced learning. My academic journey has taken me from studying theoretical and computational physics at HKUST to pursuing an Ed.D. at the University of Bristol, where I specialized in flipped classroom models. Since 2022, I have been teaching at The Education University of Hong Kong (EdUHK), focusing on AI and general education.

Before joining EdUHK, I had the privilege of teaching in higher education since 2004, covering areas such as physical science, information technology, statistics, and research methods. Throughout my career, I have always believed that effective learning comes from a thoughtful balance between structured lectures and active, student-centered activities—especially when supported by technology. I try to bring this philosophy into every class I teach, whether it's about AI, coding, or general education.

I also enjoy engaging in educational research, particularly in areas like flipped learning, blended learning, coding education, and STEM education. I find it rewarding to explore how technology can be used to support learning and to think about the best ways to design and implement educational strategies that are both effective and inclusive.

In my teaching, I aim to be approachable, supportive, and encouraging. I believe that teachers should not only impart knowledge but also inspire curiosity and help students develop critical thinking and problem-solving skills. I try to make my classes engaging through discussions, hands-on projects, and the use of AI tools to enhance learning. For example, I’ve used AI chatbots to support students with writing tasks and curated resources to help them better understand AI tools. My annotated list of AI tools provides a curated collection of resources designed to support teaching, learning, and research, with a particular focus on generative AI applications in educational contexts. The list includes tools for content creation, assessment, feedback, and collaboration, along with guidance on their pedagogical uses and considerations for ethical implementation.

I am grateful for the opportunity to work with students and colleagues who are passionate about learning and innovation. I hope to continue growing as an educator and researcher, always striving to improve my practice and contribute positively to the field of education.

As Programme Leader for BSc(AI&EdTech), I am committed to providing a comprehensive, four-year, professionally and vocationally-oriented learning experience that fosters student growth. This support extends from enrollment through graduation and beyond, encompassing their transition into society and diverse career paths, including postgraduate studies, employment, or entrepreneurship, ultimately shaping them into successful AI and EdTech professionals.

Central to our approach is the principle of integrating theoretical knowledge with practical application – a unity of knowledge and action. Our curriculum employs a "theory-application-practice" model designed to embody this principle. Years one and two build a strong theoretical foundation with core major courses, language enhancement, and general education. Years three and four focus on advanced studies, integrating core major courses with specialized electives, allowing for in-depth study in chosen areas. However, theoretical knowledge is not an end in itself; practical experience is crucial. A mandatory internship follows year three, providing direct application of learned skills, and year four culminates in a final-year project – a research project or a hands-on capstone project – directly bridging the gap between academic learning and real-world application.

Beyond the curriculum, we provide multifaceted support reinforcing this unity of knowledge and action. Regular industry talks translate theoretical understanding into practical career strategies. Active curriculum review by industry professionals ensures relevance and practical application of knowledge. Soft skills training equips students to effectively apply their knowledge in professional settings. Experiential learning opportunities provide real-world context and application of theoretical learning. Robust exchange programmes (in-person and virtual) foster multicultural perspectives and cross-cultural competency – essential for AI and EdTech professionals. We also offer entrepreneurship opportunities, encouraging students to translate their knowledge into innovative action. Comprehensive career support services further assist students in applying their acquired knowledge and skills to achieve their career goals.

My mission is to create a thriving learning environment that empowers students to reach their full potential, progressively developing professional knowledge and skills, and seamlessly integrating theory with practice. Long-term goals include a strong alumni network fostering mutual support, resource sharing, and successful employment and social integration. Regular communication with students, including feedback gathered through questionnaires and interviews (in collaboration with academic advisors), allows for personalized support. While resource constraints exist, we are dedicated to providing the best possible learning experience, firmly grounded in the principle of integrating knowledge and action.