- Reset all ×
- Poster Presentation ×
- City University of Hong Kong ×
- The University of Hong Kong ×
- The Hong Kong Polytechnic University ×
- 1. Showcase Project Achievements ×
- 2. Thematic Exploration ×
- 1.1 Teaching Development and Language Enhancement Grant (TDLEG) ×
- 1.2 Fund for Innovative Technology-in-Education (FITE) ×
- 2.1 Community of Practice (CoP) ×
- 2.4 Whole-Person Development ×
Filter Presentations
9 posts found
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: 1.2Â Fund for Innovative Technology-in-Education (FITE)
Poster Presentation Time: 1500-1600; 1700-1800
Venue: B4, Tai Po-Shek-O Room, Lower Level I
Presenter(s)
– Mr Frankie Tsz Ki FAN, Executive Officer, Talent and Education Development Office, City University of Hong Kong
Abstract
CityUHK launched the CityU Tiger Programme for nurturing the talents of tomorrow and transforming students into future global leaders. The Programme targets both newly-admitted undergraduate students with outstanding academic performance as well as high-achieving first-year students and have approximately 1,000 members in 2023/24. With constant guidance and support from faculty members, the Programme organised various tailored activities for these elite students, allowing them to navigate the challenges of the fast-changing world, cultivate their talents in their respective fields of study, contribute to their communities, and ultimately emerge as future leaders and change-makers.
Theme: 2. Thematic Exploration
Sub-theme: 2.4Â Whole-Person Development
Poster Presentation Time: 1225-1400; 1500-1600
Venue: C2, Tai Po-Shek-O Room, Lower Level I
Presenter(s)
– Professor Bin LI, Associate Professor, Department of Linguistics and Translation, City University of Hong Kong
– Dr Yee Na LI, Part-time Research Associate, Department of Linguistics and Translation, City University of Hong Kong
Abstract
Our ten years’ evidence-based study revealed that the alternative pathway from sub-degree to degree studies is viable while challenging for Senior Year Admission (SYA) students. The inadequate alignment between sub-degree and university programmes is the main determinant of their heavy academic workload. Their transitional challenges call for an examination of the existing programme articulation process and academic advising to SYA students. In response to their needs, the project sustains our previous work from UGC-funded and TDG sustainability projects to promote best practices to support SYA students. An online Cross Institutional Credit-transfer Information System (CICIS) was launched to enhance the transparency of credit transfer and facilitate smooth transition of SYA students. Another student-centred Resources Website was developed to provide cross-institutional support to SYA students from the first point of transferring to universities. In addition, a series of collaborative activities, such as an international Credit Transfer Conference, local and overseas webinar sessions and the Internationalisation-at-Home (IaH) programme, has been organised. The project provides implications to administrators and policy makers in higher education, informing policies and practices to optimize the transfer experience for students’ greater success in universities and in the society.
Theme: 1. Showcase Project Achievements
Sub-theme: 1.1Â Teaching Development and Language Enhancement Grant (TDLEG)
Poster Presentation Time: 1500-1600; 1700-1800
Venue: G1, Tai Po-Shek-O Room, Lower Level I
Presenter(s)
– Dr Yuk Ming TANG, Senior Lecturer, Department of Indusial and System Engineering, The Hong Kong Polytechnic University
Abstract
STEM education is essential in today’s curriculum even for university students. However, traditional classroom-based instruction methods often lack interactivity and tailored experiences that foster student engagement and comprehension. The integration of Virtual Reality (VR) and Artificial Intelligence (AI) generative chatbots has emerged as a transformative influence on the teaching and learning process. Despite this, limited research has explored the impact of advanced technology on STEM learning outcomes. This study explores the potential of employing VR and AI as tools to facilitate teaching to enhance students’ learning outcomes. 120 university students are involved in this study to examine the difference in learning outcomes by utilizing three instructional approaches for learning projectile motion: (1) a traditional didactic classroom, (2) a game-based VR metaverse, and (3) a game-based VR metaverse enriched with a generative chatbot-based pedagogical agent. The study prudently evaluated alterations in student motivation, cognitive benefit, and learning outcomes. Preliminary findings suggest that incorporating VR and AI into teaching considerably enhances student engagement and cognitive participation. This study demonstrates how the integration of VR with AI can elevate student engagement, comprehension, and skill acquisition in STEM education, paving the way for a more captivating and effective learning environment in the Edu-metaverse.
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
Poster Presentation Time: 1225-1400; 1500-1600
Venue: G4, Tai Po-Shek-O Room, Lower Level I
Presenter(s)
– Dr Hung-lin CHI, Associate Professor, Department of Building and Real Estate, The Hong Kong Polytechnic University
– Ms Junyu CHEN, Ph.D Student, Department of Building and Real Estate, The Hong Kong Polytechnic University
– Mr Haolei LIN, Ph.D Student, Department of Building and Real Estate, The Hong Kong Polytechnic University
Abstract
KnowLearn is an interactive learning assistant system designed for architecture, engineering, and construction (AEC) education, where personalized recommendations for students in virtual learning environments remain under-explored. An educational knowledge graph (KG) was constructed to contain multifaceted information by connecting pedagogical, learning performance, and learning feedback data as sub-graphs. A heterogeneous graph attention network (HAN) was implemented to infer latent information in the educational KG and identified essential factors shaping students’ acceptance of virtual learning environments. Based on sampling data of 107 students from the Hong Kong Polytechnic University, Department of Building and Real Estate, we found students’ self-efficacy, intention to use, and in-class quiz performance were significant predictors of final learning outcomes in subjects that adopt virtual learning environments. This project further deployed a local-based large language model (LLM) Qwen-7B and built an interactive graphical user interface (GUI) with Gradio. Utilizing the information preserved in the educational KG and learned from HAN as the basis, this LLM facilitated conversations between students and KnowLearn, enhancing personalized recommendations while securing student privacy. The developed system contributed to helping improve the learning experiences and performances of AEC students within virtual learning environments.
Theme: 1: Showcase Project Achievements
Sub-theme: 1.1Â Teaching Development and Language Enhancement Grant (TDLEG)
Poster Presentation Time: 1225-1400; 1500-1600
Venue: G3, Tai Po-Shek-O Room, Lower Level I
Presenter(s)
– Professor Fraide A. Jr GANOTICE, Assistant Professor, Bau Institute of Medical and Health Sciences Education, Li Ka Shing Faculty of Medicine, The University of Hong Kong
Abstract
Disciplinary silos often perpetuate hierarchical relationships and competition, creating a significant barrier to teamwork and collaboration in healthcare. Students who are exclusively trained within the confines of their discipline and university miss out on opportunities to develop the interprofessional competencies necessary for managing complex medical conditions of patients. Therefore, cross-institutional interprofessional education is crucial to promote the sharing of expertise among professionals from different universities and to prepare students for clinical practice. This presentation will highlight the significant achievements of the project titled “Promoting cross-institutional collaboration through interprofessional education: Forging alliances in healthcare education.” Initiated by the University of Hong Kong (HKU) in partnership with the Hong Kong Polytechnic University (PolyU), this innovative project aims to break down educational silos and foster interprofessional competencies among healthcare students. The project’s core objective is to enhance patient-centered care by developing and implementing a model of interprofessional education that integrates various healthcare disciplines. Throughout the four phases of the project—Program Development, Pilot Testing, Actual Implementation, and Evaluation and Dissemination—numerous achievements have been documented. These include the successful integration of interprofessional education into the curricula, enhanced collaborative competencies among students. The project also pioneered the development of an evidence-based cross-institutional IPE Model, setting a benchmark for future educational endeavors in the healthcare sector. This presentation will delve into the methodologies employed, the collaborative initiatives between HKU and PolyU, and the positive impact on healthcare education highlighted by reduced medical errors and improved healthcare outcomes. By showcasing these achievements, the session aims to inspire continued progress in interprofessional education and collaboration across healthcare institutions globally.
Theme: 1: Showcase Project Achievements
Sub-theme: 1.1Â Teaching Development and Language Enhancement Grant (TDLEG)
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: 2.4Â 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