STEM Education

Faculty: Faculty of Liberal Arts and Social Sciences
Cluster Coordinator: Dr HO, Kwok Pun Victor (MIT) (Email: vkpho@eduhk.hk)
Cluster Associate Coordinator: Dr CHENG, Jinping (SES) (Email: jincheng@eduhk.hk)

Cluster Courses

(Students under this Cluster are required to complete at least 2 designated courses to satisfy the cluster requirement.)

Critical Perspectives on Technology-Enhanced Teaching and Learning

This course provides a critical examination of the integration of digital technologies (non-AI focused) into educational settings, a field often referred to as Technology Enhanced Learning (TEL). We will investigate a number of non-AI tools such as gamified platforms, AR, VR, Canva, and Kahoot! to explore the deeper pedagogical, social, and ethical implications of technology. The course will delve into the theoretical underpinnings of TEL, questioning what is genuinely “enhanced” by these digital tools and for whom. Key themes include the impact of technology on student equity, the shift from teacher-centric to student-centered learning, and the challenges of implementing technology ethically and effectively. Upon completion, students will be able to critically evaluate digital tools, design pedagogically sound learning experiences, and analyze the broader societal impact of educational technology.

AI for Educational Innovation

This course focuses on the intersection of artificial intelligence, education, and entrepreneurship, equipping educators to identify opportunities for pedagogical innovation and leverage AI to develop novel educational products and services. The curriculum moves from theory to practice, covering the entire educational innovation lifecycle from identifying a learning challenge and ideation to an iterative cycle of product design, prototyping, developing a product/service, and conducting usability studies with target learners. We will explore how to design and build AI-powered solutions that address authentic learning challenges, emphasizing the critical importance of grounding technological development in established learning theories and evidence of pedagogical effectiveness. Key topics include applying human-centered design principles to educational contexts, designing and executing usability studies with learners, understanding the EdTech and AI ecosystem, and developing sustainable models for educational impact and implementation. Upon completion of this course, students will be equipped to propose a viable AI-driven educational venture, design, prototype, and develop an educational product/service, backed by a pedagogically sound strategy and validated by initial learner feedback.

Any aspect of the courses and course offerings (including, without limitation, the contents of the course and the manner in which the course is taught) may be subject to change at any time at the sole discretion of the University if necessary. Without limiting the generality of the University’s discretion to revise the courses and course offerings, it is envisaged that changes may be required due to factors including staffing, enrolment levels, logistical arrangements, curriculum changes, and other factors caused by change of circumstances. Tuition fees, once paid, are non-refundable.

Every effort has been made to ensure the accuracy of the information contained in this website. Changes to any aspects of the programmes may be made from time to time as due to change of circumstances and the University reserves the right to revise any information contained in this website as it deems fit without prior notice. The University accepts no liability for any loss or damage arising from any use or misuse of or reliance on any information contained in this website.