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)

Poster Presentation Time: 1225-1400; 1500-1600

Venue: J1, Tai Po-Shek-O Room, Lower Level I

Presenter(s)

– Professor Jeanne TAN, Professor, School of Fashion and Textiles, The Hong Kong Polytechnic University

– Dr Wing Chung WONG, Post-Doctoral Fellow, School of Fashion and Textiles, The Hong Kong Polytechnic University

Abstract

Talent development in innovation and technology is key to the sustainable development of a vibrant economy. STEM education plays a vital role in nurturing a globally competitive workforce for the future. Fostering STEM literacy at the early stages of education will equip students with the core knowledge and interdisciplinary skills for creative innovation and contributing to the future economy. Conventional education is often discipline-focused with a tendency to employ linear learning strategies which do not fully explore the knowledge opportunities present in the interdisciplinary STEM content. This often results in a skewed emphasis on technical content which young students may find difficult to contextualise in daily life. The reflective and adaptive nature of design may serve as an effective bridge to connect creativity and knowledge seeking in STEM domains (Toomey and Tan, 2018). A design-led STEM framework was adopted in two Quality Education Fund projects, reaching over 1000 secondary school students. These projects utilized fashion, artificial intelligence, and e-textiles as mediums to help students develop problem solving skills with real world applications.

Theme: 1: Showcase Project Achievements

Sub-theme: 1.4  Other UGC grants, Quality Education Fund (QEF), and Quality Enhancement Support Scheme (QESS)

Poster Presentation Time: 1225-1400; 1500-1600

Venue: K2, Tai Po-Shek-O Room, Lower Level I

Presenter(s)

– Dr Sean MCMINN, Director, Center for Education Innovation, The Hong Kong University of Science and Technology

Abstract

This project aims to develop a Co-Instructrional Designer platform to assist instructors in creating course materials. By leveraging Generative AI, the platform will support faculty members in designing course outlines, content, learning activities, assignments, and rubrics aligned with learning outcomes. The platform will connect to a Center for Education Innovation (CEI)-managed knowledge base containing curated pedagogies and best practices. Instructors will interact with the platform through pre-defined prompts, receiving tailored guidance that they can evaluate and adapt to meet their specific course needs. Key features of the platform include front-end interfaces for instructors and system administrators, robust technical architecture for file storage, and conversation history management. Having completed the Proof-of-Concept phase, implementation will proceed with structuring the knowledge base, developing the frontend, integrating the system, and conducting testing, with the final rollout planned for Fall 2025/26. The project will benefit approximately 750 faculty members and teaching staff at HKUST. This tool has multiple applications: it can serve as a co-designer for faculty, support quality assurance, assist with faculty development, and aid in Teaching and Learning Innovation Pedagogy and Blended Learning Projects. Success will be measured by the quality of responses in testing scenarios, training participation and satisfaction, and overall platform usage.

Theme: 1. Showcase Project Achievements

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

Poster Presentation Time: 1225-1400; 1500-1600

Venue: L2, Tai Po-Shek-O Room, Lower Level I

Presenter(s)

– Dr Kenneth Chi-hang LO, Associate Division Head and Senior Lecturer, Division of Science, School of Medical and Health Sciences, College of Professional and Continuing Education, The Hong Kong Polytechnic University

– Dr Anthony Wai-keung LOH, Division Head and Director of Hong Kong Community College, Division of Science, School of Medical and Health Sciences, College of Professional and Continuing Education, The Hong Kong Polytechnic University,

Abstract

The learning and teaching of science and/or engineering subjects face a big challenge under the COVID-19 pandemic because all face-to-face laboratory works are suspended. Since laboratory works are essential and critical elements to science and engineering education. Teachers have tried other means to relief the effect by performing demonstration, simulation or virtual laboratory, such that experimental data can be collected for analysis afterwards. However, students commented that they cannot see and control the laboratory apparatus in “real” time. Besides, students are required to conduct experiments in a fixed schedule and usually the teaching and laboratory schedules are not synchronized, due to the limited laboratory equipment and space. Students are required to conduct the experiment before the teaching of the corresponding theory. This affects their learning experience and motivation. The proposed project aims to develop a web-based remote laboratory for science and engineering education to facilitate student independent learning and enhance their learning experience. The objectives of the project are to: (1) design the infrastructure and software specification of the remote laboratory system; (2) identify experimental sets that can be conducted remotely; (3) enhance student learning experience and engagement as “real time” operation of laboratory equipment individually or in a group at anytime and anywhere under safe and controlled environment; (4) reduce the initial investment on offering science and/or engineering programmes by other local institutions for a better development of the sector; (5) enhance collaboration between local and even overseas institutions by sharing experimental sets; (6) inspire the tertiary education sector to develop blended and online teaching modules for science and engineering subjects which required laboratory works.

Theme: 1. Showcase Project Achievements

Sub-theme: 1.4  Other UGC grants, Quality Education Fund (QEF), and Quality Enhancement Support Scheme (QESS)

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

Poster Presentation Time: 1225-1400; 1500-1600

Venue: L3, Tai Po-Shek-O Room, Lower Level I

Presenter(s)

– Dr Dr Edmund Tai Ming WUT, Senior Lecturer, Division of Business and Hospitality Management, College of Professional and Continuing Education, The Hong Kong Polytechnic University

Abstract

We aim to investigate factors affecting students’ intention to join blended learning courses in higher education sector using Community of Inquiry framework and Unified Theory of Acceptance and Use of Technology (UTAUT) model. Stimulus-Organism-Response (S-O-R) model was employed to develop a new research framework while constructs in the Community of Inquiry are Stimulus and constructs from UTAUT are considered as Organism and Response. A survey was conducted with undergraduate students in a Hong Kong higher institution. It was found that Teaching Presence (TP), Social Presence (SP) and Cognitive Presence (CP) were associated with performance expectancy, social influence and effort expectancy respectively. Performance expectancy and effort expectancy were associated with social influence. Social influence was associated with students’ attitude towards blended learning. Institution support was not related to the students’ attitude towards blended learning in the post-pandemic period. Attitude towards blended learning was associated with their behavioral intention to participate in blended learning. Online and offline tools could be adopted to improve the students’ acceptance towards the blended learning approach.

Theme: 1. Showcase Project Achievements

Sub-theme: 1.4  Other UGC grants, Quality Education Fund (QEF), and Quality Enhancement Support Scheme (QESS)

Poster Presentation Time: 1500-1600; 1700-1800

Venue: B3, Tai Po-Shek-O Room, Lower Level I

Presenter(s)

– Dr Xiang LI, Assistant Professor, Department of Applied Social Science, The Hong Kong Polytechnic

– Dr Xiaoqin ZHU, Assistant Professor, Department of Applied Social Science, The Hong Kong Polytechnic

– Dr Diya DOU, Assistant Professor, Department of Applied Social Science, The Hong Kong Polytechnic

Abstract

Higher education programs often focus on disciplinary knowledge and professional skills, with cognitive skills given top priority. As a timely response to limited education for wellbeing and non-cognitive skills development, PolyU’s Leadership and Intra-personal Development Team developed four subjects, including Tomorrow’s Leaders, Promotion of Children and Adolescent Development, Service Leadership, and Service Leadership through Serving Children and Families with Special Needs to nurture students’ leadership, improve their wellbeing, and promote their whole person development. These subjects aim to nurture students to become ethical leaders of tomorrow and responsible citizens by adopting a holistic youth development approach based on cutting-edge theories and research on late adolescence and emerging adulthood, leadership development, and service-learning. To date, over 27,000 students have taken the four subjects. Different evaluation methods involving multiple stakeholders over time have demonstrated positive and significant impact of the four subjects on students’ wellbeing and holistic development. Positive feedback from students and recognition from the higher education community have contributed to these subjects receiving numerous prestigious awards, both internationally and locally. These include the UGC Teaching Award 2018 and the Gold Award in the Nurturing Wellbeing & Purpose category at the Wharton-QS Stars Reimagine Education Awards 2021.

Theme: 2. Thematic Exploration

Sub-theme: 2.4  Whole-Person Development

Poster Presentation Time: 1225-1400; 1500-1600

Venue: K1, Tai Po-Shek-O Room, Lower Level 1

Presenter(s)

– Dr Laura ZHOU, Education Development Officer, Education Development Centre, The Hong Kong Polytechnic University

– Mr Leo WONG, Project Associate, Education Development Centre, The Hong Kong Polytechnic University

Abstract

The flipped learning and teaching approach redefines the traditional classroom dynamic by swapping the order of direct instruction and homework activities. In a flipped classroom, students engage with instructional materials (such as videos, readings, or podcasts) outside of class, freeing up valuable in-class time for active learning, collaborative activities, and deeper understanding. In our quest to promote effective flipped learning and teaching practices, we conducted comprehensive interviews with experienced teaching staff at PolyU, who have successfully integrated this methodology into their course. Their valuable insights were collected and compiled into case studies, which were then disseminated to all teaching staff members through e-newsletters and experience sharing workshops. These teaching cases serve as compelling examples, showcasing the versatility and impact of flipped learning and teaching. They underscore the significance of adapting pedagogical methods to enhance student learning experiences. By shifting the locus of content consumption outside the classroom, educators empower students to actively engage with the material during face-to-face sessions, fostering a deeper understanding and more meaningful interactions.

Theme: 1: Showcase Project Achievements

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