Master of Science in Technology and Design (AI and Technology in Education)

(Conducted in Mandarin)

Research methods in education and social sciences are explored, with a focus on various types of educational research and research procedures. Students will gain skills in formulating research questions and hypotheses, measuring variables, evaluating research, and applying basic quantitative methods, including experimental designs, correlational studies, and surveys. Fundamental statistical analyses, qualitative research, and mixed design approaches are also covered. Additionally, action research will be introduced, along with guidance on writing research reports and proposals.

(Conducted in Mandarin)

Students will gain a solid understanding of the key roles technology plays in education, including the benefits and challenges of its implementation. They will also learn strategies for effectively utilising technology to support teaching and learning outcomes. The course also delves into learning theories and how technology can enhance the learning process, as well as examining strategies to enhance teachers’ pedagogical and technological proficiencies.

(Conducted in Mandarin)

This course examines the intersection of government policies, cultural influences, and economic strategies in the development and adoption of educational technology in China and in Singapore. Emphasising a human-centred approach, it explores how technology enhances learning, drives educational reform, and addresses the needs of students and educators. Comparative insights into global approaches provide broader context for understanding educational technology integration. The second half term of the course introduces design thinking across various scales and design disciplines. Students will be exposed to core technologies and design concepts, including design principles, processes, modes of thinking and analysis, prototyping skills, and the social aspects of design.

(Conducted in Mandarin)

This interactive course is designed to explore the dynamic intersection of technology and pedagogy. It will examine various classroom response systems, harnessing data to enhance learning outcomes. Additionally, the course will explore innovative methods for creating digital content tailored to flipped classrooms – an approach that fosters greater student engagement and autonomy. Within this evolving educational landscape, the course will also introduce the immersive potential of Augmented Reality (AR), Virtual Reality (VR), and Mixed Reality (MR), offering hands-on experiences that demonstrate the practical applications and impact of these technologies. Furthermore, the course will take a close look into the Internet of Things (IoT) and its transformative influence on interactive learning environments, as well as the role of gamification in education. Lastly, the course will delve into telepresence learning systems, examining how they elevate traditional online learning experiences.

(Conducted in Mandarin)

This course is designed to empower the students with the latest knowledge and skills to effectively integrate Artificial Intelligence (AI) into their teaching practices and educational management. Students will be exploring the basic Python programming and machine learning methodologies, with a focus on their application in education. The course covers the fundamental concepts of AI, its applications in the education setting, and the use of learning analytics to enhance student outcomes. Educators will learn how to leverage AI tools to create personalised learning experiences, create digital content for flipped classrooms, boost student engagement, and make data-driven decisions. By the end of the course, educators will be equipped with the knowledge and skills to effectively harness AI to support diverse learning needs.