Topics & Speakers:

1. An Overview of the Impact of AI on Mathematics Education for College Students

Dr CHEUNG William, Senior Education Development Officer, Talent and Education Development (TED) Office, City University of Hong Kong

Recent technological advancements in AI, such as generative AI, have significantly impacted various aspects of our lives, and mathematics education at the tertiary level is no exception. This presentation attempts a non-exhaustive overview of how AI can be incorporated into learning, teaching, and assessing mathematics education, thus assisting students and educators in learning and teaching more effectively.

2. Leveraging Prompt Engineering in Large Language Models with Active Learning Strategies to Boost Mathematics Outcomes

Dr TING Fridolin, Senior Lecturer I, Office of the Vice President (Research & Development), The Education University of Hong Kong

This talk will explore integrating prompt engineering in large language models like ChatGPT with active learning pedagogies to advance mathematics education. We will investigate how ChatGPT's capacity to generate personalised and contextualised responses can enhance students' conceptual understanding and how specialised formatted prompts, like "zero-shot" and "chain of thought" techniques, can augment critical thinking and problem-solving skills. Practical examples will be showcased to illustrate their role in creating a more engaging and tailored learning experience and to demonstrate the application of these AI-driven strategies in classroom settings. The session will highlight the transformative potential of marrying generative AI with student-centred teaching approaches to improve learning outcomes in mathematics and science education significantly.

3. Blended Learning in Fundamental Mathematical Courses with AI Integration

Professor ZHUANG Xiaosheng, Associate Professor, Department of Mathematics, College of Science, City University of Hong Kong

In this new era of AI, many AI tools have been developed for various purposes, such as ChatGPT, Google Bard, Stable Diffusion, etc. Especially in education, it becomes increasingly important to know how AI can support teachers with more than just generalised ideas to change/enhance student learning outcomes. Blended learning (or flipped learning), collaborative learning, and other learning models in modern education can help improve students' learning experiences and outcomes. I will share my experiences integrating AI tools and basic learning models into teaching fundamental mathematical courses such as probability and statistics.