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
Poster Presentation Time: 1500-1600; 1700-1800

Oral Presentation Venue: Camomile Room, Lower Level II
Poster Presentation Venue: D2, Tai Po-Shek-O Room, Lower Level I

Presenter(s)

– Ms Hong Ching CHAN, Senior Curriculum Development Officer, Centre for Advancement of Chinese Language Education and Research, Faculty of Education, The University of Hong Kong

– Ms Hongyun DENG, Research Manager, Centre for Advancement of Chinese Language Education and Research, Faculty of Education, The University of Hong Kong

Abstract

Empowering ethnic-minority students’ learning of writing is essential to students’ development in school and beyond. The advent of generative artificial intelligence (GenAI) has accelerated the transformation of education systems, providing new possibilities for addressing their challenges. Guided by the writing process theory, social constructivism, and self-regulated learning, this study proposes the WISE framework, comprising four key components: Write, Investigate, Synthesize, and Evaluate. It also reports on qualitative research, incorporating participant observation and content analysis, on WISE’s implementation among 10 ethnic-minority students in three primary schools in Hong Kong. The results suggest that this framework can systematically support students’ writing abilities in terms of 1) enriching vocabulary and language usage, 2) improving quality and depth of writing content, 3) enhancing writing structures and creativity, and 4) strengthening critical thinking.

Theme: 2. Thematic Exploration

Sub-theme: Diversity and Inclusion Education

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

Venue: Peony Room, Lower Level II

Presenter(s)

– Ms Nancy TING, Senior Lecturer, Early Childhood Education, Yew Chung College of Early Childhood Education

– Ms Mary Ann HOOD, Senior Lecturer, Early Childhood Education, Yew Chung College of Early Childhood Education

Abstract

The transition from kindergarten to primary school is an important time for children and parents. In addition, starting primary school is a significant milestone for children as the teaching and learning experiences, curriculum and classroom environment are markedly different to the kindergarten. For example, there are new rules and expectations to get used to. Coping well and adjusting to the changes is important and a successful start to primary school is associated with future learning success in school. The overall Kindergarten to Primary (K2P) project objective is to overcome stress brought by the K2P transition; provide a solid foundation for primary school stage and promote child readiness for school and school readiness for child and family. The project has four objectives that focus inter alia on the students, their parents, and in-service and pre-service teachers. This presentation will focus on objective 1 which is to equip students with a positive mindset and readiness for the new learning environment using a multi-step approach. This approach includes implementing lesson plans and home activities to develop and support children’s acquisition of 7 specific skillsets, namely Cognitive skills, Independent thinking, Collaborative learning, Empathetic thinking, Social-emotional skills/understanding challenges, Communication skills and Authority in learning.

Theme: 2. Thematic Exploration

Sub-theme: Whole-person Development & Diversity and Inclusion 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: Camomile Room, Lower Level II

Presenter(s)

– Dr Chloe Pui Yee SIU, Senior Lecturer, School of Graduate Studies and Institute of Policy Studies, Lingnan University

Abstract

Gerontechnology is a multidisciplinary field combining gerontology and technology, it comes matching technological environments to various facets of an ageing population. With the development of technologies, the HKSAR Government and different enterprises develop innovative products to cater for the needs of older adults and caregivers. It is arguably essential to develop opportunities and capabilities by creating a gerontechnology ecosystem with innovation to enable different stakeholders to effectively participate in gerontechnology and help Hong Kong society to overcome challenges related to population ageing. Since 2019, Lingnan University has been at the forefront of promoting gerontechnology through its “Gerontechnology and Smart Ageing in Place Project.” The project’s primary goal is to advocate for the use of gerontechnology in facilitating smart ageing and to support the development of social entrepreneurship in this field. Furthermore, it functions as an educational platform, offering training courses and workshops on various aspects of gerontechnology, including healthcare, dining, living, transport, exercising, and learning. An essential component of LU’s approach is its emphasis on the value co-creation process, as outlined by Kijima et al. (2014). This model comprises four phases: co-experience, co-definition, co-elevation, and co-development. It provides a framework for understanding how value is generated, exchanged, and transformed through the collaboration of diverse stakeholders. This process is crucial for fostering innovation and ultimately leading to sustainable solutions for smart ageing.

Theme: 2. Thematic Exploration

Sub-theme: Diversity and Inclusion Education