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- College of Professional and Continuing Education, The Hong Kong Polytechnic University ×
- The Education University of Hong Kong ×
- The University of Hong Kong ×
- The Hong Kong University of Science and Technology ×
- Lingnan University ×
- The Hong Kong Polytechnic University ×
- Tung Wah College ×
- 1. Showcase Project Achievements ×
- 2. Thematic Exploration ×
- 1.2 Fund for Innovative Technology-in-Education (FITE) ×
- 2.1 Community of Practice (CoP) ×
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14 posts found
Oral Presentation Time: 1400-1500
Venue: Fanling Room, Lower Level I
Presenter(s)
– Dr Richard Wing Cheung LUI, Senior Lecturer, Department of Computing, The Hong Kong Polytechnic University
Abstract
This presentation introduces the design and implementation of GPTutor, a Generative AI (GenAI) powered Intelligent Tutoring System (ITS) developed at the Hong Kong Polytechnic University (PolyU). GPTutor aims to enhance student learning experiences through personalised tutoring and interactive exploration. It helps students gain a deeper understanding of the course materials provided by their instructors. During the first phase of our implementation, we developed features for instructors to upload and manage their course content and to create learning scenarios based on the learning content. The system includes a conversational interface for students to ask questions and explore course content to deepen their understanding. As the answers are generated based on the instructor-uploaded content, GPTutor provides more factual responses, reduces hallucinations, and aligns better with the instructors’ intended learning outcomes (ILO). We will also share findings from our pilot study, which involved approximately 200 undergraduate and postgraduate students at PolyU. Finally, we will discuss our future plans for further development and enhancement of the platform.
Theme: 1. Showcase Project Achievements
Sub-theme: Innovative Technology-in-Education
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: I4, Tai Po-Shek-O Room, Lower Level I
Presenter(s)
– Dr Yanjie SONG, Associate Professor, Department of Mathematics and Information Technology, The Education University of Hong Kong
– Mr Kaiyi WU, Department of Mathematics and Information Technology, The Education University of Hong Kong
Abstract
Integrating artificial intelligence (AI) into educational settings is crucial for developing innovative teaching methods that enhance student learning. This study investigates the development and application of Learningverse, a 2D/3D metaverse platform that integrates digital humans with advanced Large Language Model Operations (LLMOps) to create AI teaching agents. Leveraging the capabilities of Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG), we designed intelligent digital human teachers. These LLMOps system-constructed multi-agents, including Communication Encoder, Body Movement Coding Encoder, Eye Gaze Coding Encoder, and Expression Coding Encoder, provide personalized and strategic scaffolding to students, offering real-time feedback and support to improve their learning outcomes. Additionally, the platform utilizes GPT-SoVITS trained TTS to clone real teachers’ voices, enhancing the realism of digital human teachers. The platform can customize digital teachers and build scenarios based on different subject courses, adapting them to various thematic curricula. A pilot study evaluated the effectiveness of these digital teachers in enhancing student engagement and performance in Learningverse. Preliminary findings reveal a significant improvement in students’ interactions, motivation, and overall learning achievements. This research highlights the potential of LLMOps-integrated digital human teachers in transforming teaching practices and enriching educational experiences in the metaverse.
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)
– Dr Esther TONG, Principal Lecturer, Division Head, Divisions of Language and Communications, College of Professional Continuing Education, The Hong Kong Polytechnic University
– Professor Roger CHAN, Division Head, Divisions of Social Sciences, Humanities and Design, College of Professional Continuing Education, The Hong Kong Polytechnic University
Abstract
Effective Content and Language Integrated Learning (CLIL) praxis relies on the sustained efforts of members of the interdisciplinary community of practice in fostering shared aspirations in pedagogical improvement, developing awareness of a content-language link, sharing resources and practices, and co-constructing understanding of disciplinarity. Responding to the need to align higher education assessments with the real-world communication and professional requirements, faculty members across the College are summoned to redesign the assessments of language and disciplinary practices. While previous studies on integrated assessment of language and disciplinary content focus on the validity, reliability and teacher belief-practice dichotomy (Attar et. al, 2022; Lo & Leung, 2022; Otto, 2018), this paper explores the essence of successful Professional Communities of Practice (PCoP). Sustainable practices and challenges associated with co-designing integrated content and language assessments in business and social sciences disciplines will be explored. It positions CLIL assessment as a collaborative provision. The first part details the associated practices of a collaborative model in an adjunct English-across-the-curriculum project. The second part highlights the impactful dialogues within a social enterprise business idea pitching competition organised to foster interdisciplinary collaboration in a professional learning community. Recommendations for optimising collaboration and maximising the participatory impact of interdisciplinary communities of practice in higher education contexts will be shared.
Theme: 2. Thematic Exploration
Sub-theme: Community of Practice (CoP)
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)
Oral Presentation Time: 1400-1500
Venue: Fanling Room, Lower Level I
Presenter(s)
– Mr Jac LEUNG, Lecturer, Division of Integrative Systems and Design, The Hong Kong University of Science and Technology
Abstract
This project explores the intersection of Generative AI, reflection and experiential learning, highlighting GenAI’s pivotal role in fostering deeper cognitive processes and the attainment of complex knowledge structures. In recognition of the multifaceted dimensions of reflection, we aim to examine GenAI’s role in promoting different focuses of reflection including technical reflection on efficiency of attaining goals; practical reflection on challenging assumptions and establishing identities; and critical reflection on reflecting within a broader consideration of socio-historical and political-cultural context. GenAI is widely praised for its ability to serve as agent to writing and agent to knowledge. This study explores GenAI’s potential as agent to reflect, offering a perspective transformation devoid of judgement and social bias. We adopt an action research approach to accommodate both the rapidly growing research area and state-of-the-art teaching innovations. To examine the roles of GenAI in various types of experiential learning contexts, a 3-year collaboration project consists of four local universities in Hong Kong was initiated in early 2024. Participating students are of diverse background in science, social science, engineering, business, and health profession (radiography). Reflective exercises are designed according to the course context and the type of experiences within entrepreneurship education, social innovation, and health professional training.
Theme: 1. Showcase Project Achievements
Sub-theme: Innovative Technology-in-Education
Oral Presentation Time: 1600-1700
Venue: Rose Room, Lower Level I
Presenter(s)
– Dr Thomas LEE, Associate Professor and Associate Head (Academic) Department of Biomedical Engineering, The Hong Kong Polytechnic University
– Dr Hin Chung LAU, Senior Lecturer, Programme Leader (BSc), and Assistant Dean (Student Development) of Faculty of Engineering, Department of Biomedical Engineering, The Hong Kong Polytechnic University
– Ms Jessie KAR, Instructor, Department of Biomedical Engineering, The Hong Kong Polytechnic University
– Ms Rahat BATOOL, Student, Educational Development Centre, The Hong Kong Polytechnic University
– Mr Mitesh PATEL, Educational Development Officer, Educational Development Centre, The Hong Kong Polytechnic University
– Mr Leo CHON, Assistant Educational Development Officer II, Educational Development Centre, The Hong Kong Polytechnic University,
Abstract
Students in Hong Kong have generally been perceived as passive learners, with limited opportunities for active involvement in the development of educational experiences. Here, we would like to showcase the untapped potential of students as co-creators in subject development. By harnessing the power of Student-Staff Partnership (SSP), teachers can unlock the full potential of students, creating a dynamic and enriched learning environment that benefits both the students involved and future cohorts. This presentation explores a practical approach to harnessing the power of SSP in the co-creation of an international service-learning (SL) project. The teachers encountered difficulties in adapting original local SL project to overseas because of resources limitations. By inviting students who studied the same subject in the previous year, with outstanding performance into the decision-making processes for the next cohort, this model encourages students to contribute their unique insights and ideas in redesigning the SL project. With the students’ first-hand experience and thorough understanding of the subject’s intended learning outcomes, their contribution can make the subject more impactful and aligned with the needs of students. Not only does this approach benefit the teachers by providing a deeper understanding of student needs, but it also fosters students’ personal growth and leadership development.
Theme: 2. Thematic Exploration
Sub-theme: Community Engaged Learning & Community of Practice (CoP)
Oral Presentation Time: 1400-1500
Venue: Fanling Room, Lower Level I
Presenter(s)
– Mr Jungjin PARK, PhD student, Department of Mechanical and Aerospace Engineering, The Hong Kong University of Science and Technology
– Professor Larry LI, Associate Head & Associate Professor, Department of Mechanical and Aerospace Engineering, The Hong Kong University of Science and Technolog
Abstract
Immersive technologies come in various forms and names, such as virtual reality (VR), augmented reality (AR), and recently spatial computing. While higher education has always been at the forefront of experimenting with such technologies in the classroom, the ubiquity of smartphones and tablets – capable of creating robust AR experiences – has made it possible for wider adoption in recent years. In this presentation, we highlight lessons learned from a pilot project that leveraged AR to enhance aerospace laboratory training at the Hong Kong University of Science and Technology, and how this effort is being expanded across multiple disciplines such as pulmonary physiotherapy and forensic pathology. In particular, we share our vision to combine AR and large language models (LLMs) to design truly immersive learning experiences that can be effectively deployed into classrooms. When combined, the two technologies mutually benefit and supplement their respective advantages and limitations, thereby overcoming many of the current challenges faced by educators when deploying either on their own.
Theme: 1. Showcase Project Achievements
Sub-theme: Innovative Technology-in-Education
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: 1600-1700
Venue: Fanling Room, Lower Level I
Presenter(s)
– Professor Rick KWAN, Associate Dean (Programme) & Professor, School of Nursing, Tung Wah College
Abstract
In the professionalisation of healthcare services, many healthcare professions emerged. These healthcare professions become highly specialised to care for specific health issues, although their common goal is to promote human health. In the era of the increasing complexity of diseases and health issues, knowledge from a specific profession might not suffice to solve the complex health issues of humans. However, the knowledge generated from different healthcare professions may conflict. As a result, the healthcare plans including inputs from various healthcare professions lead to incongruent treatment practices. The derived conflicts jeopardize the health outcomes of people. Interprofessional education (IPE) occurs when (learners) from two or more professions learn about, from and with each other to enable effective collaboration and health outcomes. IPE is a necessary step in preparing a “collaborative practice-ready” health workforce that is better prepared to respond to local health needs. Tung Wah College offers training for the second-largest number of healthcare professionals in Hong Kong, including nursing, physiotherapy, occupational therapy, radiotherapy, and medical laboratory science. These programmes are all accredited by the related professional regulating bodies in Hong Kong. However, interprofessional education is not a mandatory training requirement stipulated by these professional regulating bodies. Since 2023, TWC developed a Community of Practice of Healthcare Professional Health Education. We work closely together to share a common goal of strengthening interprofessional healthcare teamwork through integrated education across programmes.
Theme: 2: Thematic Exploration
Sub-theme: 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: I3, Tai Po-Shek-O Room, Lower Level I
Presenter(s)
– Ms Winnie WONG, Educational Development Manager, Centre for Learning, Teaching and Technology, The Education University of Hong Kong
– Mr Vincent CHAN, Educational Development Assistant, Centre for Learning, Teaching and Technology, The Education University of Hong Kong
Abstract
Background and Objectives: This project aims to leverage the immersive capabilities of the metaverse to enhance data security and privacy awareness among students and staff at the Education University of Hong Kong. Develop a series of interactive and engaging educational materials to enhance the understanding of data security principles and data privacy policies. Design and implement a dynamic and user-friendly online platform (Metaverse Space) to host the educational materials, facilitating easy access and learning for target audiences. Methods and Findings: Within this metaverse-based platform, users are presented with practical scenarios that simulate real-world situations involving security-critical concepts. The educational virtual environment is strategically gamified to motivate users through rewarding challenges and progressive levels, bridging the gap between theory and practice. The dynamic simulation exercises allow participants to directly experience the impact of security failures and rehearse protective actions in a risk-free, controlled setting, nurturing applied skills alongside conceptual understanding. The survey results, based on responses from (n=20), indicate that the gamified metaverse prototype is both engaging and effective in teaching data security and privacy concepts. The interactive scenarios and simulations were particularly praised for their usefulness in understanding real-world data security issues. The navigation of the metaverse environment was generally considered easy. Overall, the positive responses suggest that the gamified metaverse is a valuable tool for learning data security, demonstrating its effectiveness in an educational context. Discussion and Perspectives: Leveraging Metaverses data security learning platform offers an innovative and immersive approach to addressing the limitations of traditional training methods, empowering users with comprehensive knowledge and applied skills to mitigate evolving cyber threats.
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 Meike SAURWEIN, Lecturer, Division of Environment and Sustainability, The Hong Kong University of Science and Technology
– Ms Evelyn Yu Shan PANG, Teaching Associate, Division of Environment and Sustainability, The Hong Kong University of Science and Technology
Abstract
In an era of complex global challenges, the need for interdisciplinary approaches in sustainability education has never been more critical. The Sustainability Education Community of Practice (SEC) aims to build on the power of interdisciplinary collaboration to foster innovative solutions and drive transformation in how we teach sustainability. SEC brings together faculty, staff and postgraduate researchers from diverse fields, including science, humanities, business, and engineering, who share a passion for teaching sustainability and an interest in innovating how we teach sustainability on campus. Our work centers on bringing together educators to form a platform for teaching collaboration, development of new teaching approaches and a network for sharing and learning. Through a serious or networking events, interactive workshops and focused support initiatives we aimed at supporting faculty and staff in developing new approaches towards teaching sustainability, discuss challenges, share tools and build up a support network. This presentation will showcase HKUST SEC’s key initiatives, including interdisciplinary workshops and collaborative teaching projects. We will highlight successful case studies that demonstrate the impact of our approach on building a community of educators who are passionate about driving sustainability. Attendees will gain insights into strategies for fostering interdisciplinary collaboration, learn about potential challenges and possibly be inspired to incorporate these practices into their own educational contexts.
Theme: 2. Thematic Exploration
Sub-theme: Community of Practice (CoP)
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