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- City University of Hong Kong ×
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- Hong Kong Baptist University ×
- The University of Hong Kong ×
- The Hong Kong University of Science and Technology ×
- Lingnan University ×
- Tung Wah College ×
- 1. Showcase Project Achievements ×
- 2. Thematic Exploration ×
- 1.2 Fund for Innovative Technology-in-Education (FITE) ×
- 2.2 Diversity and Inclusion Education ×
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14 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: 1.2 Fund for Innovative Technology-in-Education (FITE)
Poster Presentation Time: 1500-1600; 1700-1800
Venue: D4, Tai Po-Shek-O Room, Lower Level I
Presenter(s)
– Dr William Man Yin CHEUNG, Senior Education Development Officer, Talent and Education Development Office, City University of Hong Kong
– Ms Ka Yan SO, Educational Development Officer, Talent and Education Development Office, City University of Hong Kong
Abstract
In the recent era of rapid development and ubiquitous application of artificial intelligence (AI), it has become crucial for all students to be AI-literate irrespective of their academic background. This poster shares the pilot run of the “AI for All” initiative at CityUHK, which introduced the basic principles, development, and recent applications of AI to the participating students. Students analysed how AI has been utilised by various organisations/platforms and demonstrated improved AI literacy after the initiative.
Theme: 2. Thematic Exploration
Sub-theme: 2.2 Diversity and Inclusion Education
Poster Presentation Time: 1500-1600; 1700-1800
Venue: D1, Tai Po-Shek-O Room, Lower Level I
Presenter(s)
– Dr William Man Yin CHEUNG, Senior Education Development Officer, Talent and Education Development Office, City University of Hong Kong
Abstract
The recent advent of generative artificial intelligence (AI) has demanded prompt actions for supporting educators to review and possibly revamp their courses accordingly. This poster shares the experience of CityUHK for administering a programme of online modules, seminars and funding availability to empower academic staff in incorporating AI into the curriculum. In response to the positive feedback received, the programme was implemented for a second time with updates and enhancement.
Theme: 2. Thematic Exploration
Sub-theme: 2.2 Diversity and Inclusion Education
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: J2, Tai Po-Shek-O Room, Lower Level I
Presenter(s)
– Dr Benjamin MOORHOUSE, Assistant Professor, Department of Education Studies, Hong Kong Baptist University
Abstract
The public release of ChatGPT sent shock waves through the education community. Since then, many generative AI (GenAI) tools that perform various human tasks have been launched. It is essential that higher education institutions are at the forefront of preparing graduates for the productive and responsible use of these tools. To make this a reality, instructors, as models of practice, must have the skills and knowledge to use GenAI tools. They need to understand how AI works (technological proficiency); they need to consider the ethical issues of the tools (critical and ethical awareness); they need the pedagogical awareness of how and when to use them (pedagogical capability); and they need prepare their students to use them. These skills can be considered ‘Professional Generative AI competence’ (P-GenAI-C). The Inter-institutional Collaborative Activities for Fund for Innovative Technology-in Education project presented in this poster aims to: (1) Identify the P-GenAI-C in different university subject disciplines; (2) Contextualize the P-GenAI-C within each universities’ policies and guidelines; (3) Develop training and continuous support for university instructors, and (4) Develop a developmental framework and reflective tool for evaluating P-GenAI-C. The first aim and discussion of the actualization of the remaining aims are presented.
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: Camomile Room, Lower Level II
Presenter(s)
– Ms Ka Yan SO, Education Development Officer, Talent and Education Development Office, City University of Hong Kong
Abstract
Peer-Assisted Learning scheme using Supplemental Instruction (PALSI) has been a cornerstone of CityUHK’s commitment to academic excellence and student success. This presentation will introduce the PALSI initiative, a peer-led approach designed to enhance students’ understanding of course materials and improve overall learning strategies. Insights from PALSI coordinators and leaders will be shared, highlighting the scheme’s impact on both students and leaders.
Theme: 2. Thematic Exploration
Sub-theme: Diversity and Inclusion Education
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: 1400-1500
Venue: Fanling Room, Lower Level I
Presenter(s)
– Dr Theresa KWONG, Director, Centre for Holistic Teaching and Learning, Hong Kong Baptist University
Abstract
HKBU leads two UGC-funded projects to enhance digital citizenship education and promote digital ethics. The first project, “Enhancing Learning and Teaching of Digital Citizenship through Scenario-based AR Learning Trails”, pioneers innovative approaches, developing scenario-based AR learning trails to engage students as active partners in digital citizenship. With six university partners, the project team created a revised Digital Citizenship Framework and over 85 scenarios, implemented in the “AR-Trails” app. Initial findings from 2,045 students on a learning trail reveal a strong digital citizenship foundation. These insights led to the second initiative, the “Digital Ethics and Responsibilities (DEAR) Campaign”, which empowers stakeholders to make informed, responsible decisions in the digital world. The DEAR project leverages the Digital Citizenship project, creating a DEAR Hub, organizing digital ethics events, designing a micro-credential program, and curating educational content. Since January 2024, DEAR has made significant progress, including securing research ethics approval, developing an introductory micro-credential, and recording podcasts. The DEAR Hub is being established as a comprehensive digital ethics resource. These interlinked projects provide educators with professional development opportunities and resources. The presentation offers an overview of their progression and advancements, providing insights into digital citizenship education and promoting ethical, responsible digital practices.
Theme: 1. Showcase Project Achievements
Sub-theme: Innovative Technology-in-Education
Poster Presentation Time: 1220-1400; 1500-1600
Venue: J3, Tai Po-Shek-O Room, Lower Level I
Presenter(s)
– Mr Ryan MAN, Associate Dean (Undergraduate Studies), School of Business, Hong Kong Baptist University
Abstract
The Fund for Innovative Technology-in-Education (FITE) has catalyzed a transformative initiative within our School to future-proof business education. Our approach is three-pronged, with a focus on curriculum development, personalized e-learning, and pedagogical innovation. In anticipation of the 2024/25 academic year, a dedicated programme review team has been tasked with integrating AI across the BBA curriculum, introducing new core courses such as Business Coding, AI for Business, and AI Ethics and Governance. This integration extends to embedding AI applications into functional areas like marketing human resources management and finance. Besides, we have instituted a personalized e-learning graduation requirement, leveraging Industries 4.0 principles of IoT and AI in MOOCs, particularly LinkedIn Learning, to enhance engagement and digital literacy. Our metrics indicate promising uptake and substantial engagement in technology courses, underscoring the relevance of data analytics and AI in contemporary education. Supporting our pedagogical shift, the FITE-backed Fostering AI-Incorporated Learning team is pioneering AI and blended learning integration to elevate teaching quality. Our experimental initiatives range from incorporating Generative AI into Business Analytics education and piloting AI in HR teaching. These efforts signify our commitment to driving pedagogical transformation and curriculum innovation, preparing students for the evolving demands of the digital economy.
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 Cissy LI, Head, Language Centre, Hong Kong Baptist University
Abstract
Based on the UN’s 2030 Framework, global citizenship education (GCE) aims to develop learners’ knowledge, skills, attitudes, and values necessary to become active and responsible global citizens (Reimers et al., 2016). In order to become a successful global citizen, learners need to be aware of the interconnectedness of the world, respectful of diversity, reflective of personal and others’ behaviors and their impact, and committed to sustainability. More importantly, they need to be willing to take action to make changes for a better world. This presentation will report on the implementation and outcomes of part of the project Nurturing Global Citizenship through English (NGCE) using Kolb’s experiential learning framework. GCE guided learning in the ESL classroom was complemented with abundant GCE opportunities outside the classroom, including global dialogues, field trips and poster-exhibitions. Findings from questionnaire surveys and focus group interviews indicate that students had a heightened awareness of global citizenship and perceived improvements in cognitive, socio-emotional and behavioral competencies, which are the three core domains in GCE identified by UNESCO (2015). The positive outcomes highlight the benefits of integrating GCE into the English language curriculum and fostering diversity, inclusion, and international learning.
Theme: 2. Thematic Exploration
Sub-theme: Diversity and Inclusion Education
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
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
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.