Poster Presentation Time: 1225-1400; 1500-1600

Venue: I1, Tai Po-Shek-O Room, Lower Level I

Presenter(s)

– Dr Selena YAN, Senior E-learning Assistant, Li Ka Shing Faculty of Medicine, The University of Hong Kong

– Ms Leah LI, Senior E-learning Assistant, School of Clinical Medicine, The University of Hong Kong

Abstract

Generative Artificial Intelligence (GenAI) is a transformative technology that fosters creativity, problem-solving, and critical thinking skills in various industries, including healthcare and medical education. At HKU Medicine, we appreciate the importance of advancing GenAI literacy and propose to develop and deliver a new online course that covers the latest advances, pitfalls, ethical and professional aspects of GenAI. We aim to advance AI and digital competency for all students, professoriates and clinicians at HKU Medicine and the Hong Kong medical community. To evaluate the effectiveness of this online GenAI literacy course, an assessment study will be conducted. We will use a mixed methods approach to collect both quantitative and qualitative data through pre- and post- surveys, individual interviews and practical exercises. The survey will be adapted from the “Scale for the Assessment of Non-Experts’ AI Literacy” (SNAIL), while the interviews will provide additional context and insights into participants’ experiences and challenges with GenAI. Practical exercises will provide objective data for evaluation. Target participants will be recruited through convenience sampling, and data analysis will include both statistical and thematic analyses. The study has already obtained ethical approval. Results from this study will be used to identify improvement needs for the online course and inform the integration of GenAI in medical and health sciences education and clinical practices. Overall, the project will contribute to the advancement of GenAI literacy in medical education and healthcare professions, supporting the ethical and effective application of GenAI technology in these fields.

Theme: 1: Showcase Project Achievements

Sub-theme: 1.2  Fund for Innovative Technology-in-Education (FITE)

Oral Presentation Time: 1600-1700

Venue: Fanling Room, Lower Level I

Presenter(s)

– Professor Carmen WONG, Assistant Dean (Faculty Development) and Clinical Professional Consultant, The Jockey Club School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong

Abstract

Many industries have adopted design thinking as a powerful approach to problem-solving and innovation. A Community of Practice on Design Thinking can enhance experience sharing, ideas development and collectively enrich design thinking capabilities. For educators this can facilitate sharing of curricula concerns and problems, topical interests, and deepen their knowledge and experience of design thinking in education. The HKTEA Design Thinking Community of Practice in Higher Education was established in November 2023. The presentation aims to explore the process and challenges of setting up a community of practice on design thinking within the education arena. The session will begin by providing an overview of community of practice and design thinking considerations. The journey in setting up the Design Thinking community of practice from developing design thinking educational resources, exploring educator challenges in different institutions and disciplines and fostering network and exchange will be discussed. Key steps involved in establishing a community of practice and ongoing development will be highlighted. Attendees will be equipped with practical insights and actionable strategies to initiate and nurture a community of practice in their own and/or across institutions.

Theme: 2. Thematic Exploration

Sub-theme: Community of Practice (CoP)

Poster Presentation Time: 1500-1600; 1700-1800

Venue: L6, Tai Po-Shek-O Room, Lower Level I

Presenter(s)

– Professor Gladys Wai Lan TANG, Centre Director, Centre for Sign Linguistics and Deaf Studies, The Chinese University of Hong Kong – Mr Jafi YF LEE, Research Associate, Centre for Sign Linguistics and Deaf Studies, The Chinese University of Hong Kong – Dr Chris KM YIU, Senior Programme Officer, Centre for Sign Linguistics and Deaf Studies, The Chinese University of Hong Kong

Abstract

The Centre for Sign Linguistics and Deaf Studies is building a Community of Practice to support deaf and hard-of-hearing (d/hh) students pursuing tertiary education. The d/hh students face different barriers to information accessibility because of their diverse backgrounds and learning needs. Possible types of educational support including captioning & AI summaries, subtitles for videos, note-taking/stenography, wireless transmission system, sign interpretation, and other accommodations should be explored to address their respective needs. The project will lead to 1) an improved understanding of the learning needs of the d/hh students, 2) a raised awareness of the physical learning environment/hardware accommodations, 3) the development of new teaching strategies and practices, 4) the deployment of new tools and aids, and 5) the design of a support system with accommodation for in-class and course-end assessments. The project will host seminars to facilitate the dissemination of effective strategies for supporting d/hh students among members of the CoP. The ultimate goal is to recommend an effective and operable support system to EDB and UGC.

Theme: 2. Thematic Exploration

Sub-theme: 2.1 Community of Practice (CoP)

Oral Presentation Time: 1400-1500
Poster Presentation Time: 1225-1400; 1500-1600

Oral Presentation Venue: Fanling Room, Lower Level I
Poster Presentation Venue: I2, Tai Po-Shek-O Room, Lower Level I

Presenter(s)

– Dr Ting Leung Albert LEE, Lecturer, Department of Electrical and Electronic Engineering, The University of Hong Kong

– Dr Victor LEE, Lecturer, Department of Electrical and Electronic Engineering, The University of Hong Kong

– Dr Zhengyuan WEI, Research Associate, Department of Electrical and Electronic Engineering, The University of Hong Kong

– Mr Alex KIANG, The University of Hong Kong

Abstract

Retrieval-augmented generation (RAG) has been demonstrated to be highly effective in generative AI applications, resulting in substantial improvement in accuracy and reliability of large language model responses. The success of this approach is accomplished through seamless integration of AI capabilities and practical knowledge base, which fosters an interactive learning mechanism conducive to automatic question-answering augmented with references and refined prompts, leading to a more vibrant and connected learning environment. Communication portals enable effective inquiry and prompt responses while the course-specific chatbot helps reduce teachers’ workload and streamline classroom management. In this project, the RAG approach is applied to a discipline-core course named Integrated Design Project (IDP) in the second semester 2023-24. This project-based course consists of 78 EEE undergraduate students with diverse programming experience. The IDP-specific AI chatbot is developed using the Coze platform with a Discord server. To name a few, the main contents of practical knowledge base include the procedures for setting up a Raspberry Pi webcam, the installation process of Jetson Inference library on Jetson Nano, how to use YOLO model for object detection, how to install Jetson inference library on Jetson Nano, etc. The anonymous feedback survey conducted at the end of the course shows high utilization and satisfaction of the chatbot, confirming the effectiveness of this approach in facilitating students’ learning.

Theme: 1. Showcase Project Achievements

Sub-theme: Innovative Technology-in-Education