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- 1. Showcase Project Achievements ×
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- 1.2 Fund for Innovative Technology-in-Education (FITE) ×
- 1.4 Other UGC grants, Quality Education Fund (QEF), and Quality Enhancement Support Scheme (QESS) ×
- 2.1 Community of Practice (CoP) ×
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16 posts found
Poster Presentation Time: 1225-1400; 1500-1600
Venue: F2, Tai Po-Shek-O Room, Lower Level I
Presenter(s)
– Professor Paul Lai Chuen LAM, Associate Professor, Centre for Learning Enhancement And Research, The Chinese University of Hong Kong
– Mr Wikie Wai Kei CHAN, Research Coordinator, Centre for Learning Enhancement And Research, The Chinese University of Hong Kong
– Miss Ka Yan LAU, Research Assistant, Centre for Learning Enhancement And Research, The Chinese University of Hong Kong
Abstract
Artificial Intelligence (AI) is rapidly transforming the educational landscape, presenting both opportunities and challenges for educators. This poster presentation showcases the work of two UGC-funded projects: “AI in Education” and “Generative AI for Teaching and Education (GATE).” These initiatives aim to bridge the gap between AI technologies and educators. By familiarizing educators with AI applications, empowering them with research insights, and providing professional development opportunities, these projects enable teachers to harness the power of AI as a tool for enhancing teaching and learning experiences. The presentation highlights the journey of supporting teachers in exploring, understanding, and applying AI in their own teaching contexts and calls for active participation in the broader AI community.
Theme: 1. Showcase Project Achievements
Sub-theme: 1.1 Teaching Development and Language Enhancement Grant (TDLEG)
Challenges and Possibilities: Active Learning Strategy in Metaverse for Health Professions Education
Poster Presentation Time: 1225-1400; 1500-1600
Venue: G2, Tai Po-Shek-O Room, Lower Level I
Presenter(s)
– Dr Florence Mei Kuen TANG, Lecturer, Division of Education, School of Biomedical Sciences, The Chinese University of Hong Kong
– Dr Charis Yuk Man LI, Lecturer, School of Life Sciences, The Chinese University of Hong Kong
– Mr Kenneth Chung Hin LAI, Centre for eLearning Innovation and Technology, The Chinese University of Hong Kong
Abstract
The metaverse offers unique attributes that differentiate it from other educational tools, particularly its “Interactivity, Corporeality, and Permanence” within an immersive unreal space. Active learning, a dynamic educational approach, encourages students to engage in learning rather than passively receiving information. We aim to harness the metaverse concept to create interior architectural design virtual spaces where learners can interact in real-time, computer-generated environments. Methods and Results Our team is currently developing innovative Metaverse Learning Environments (MetaL). Since early 2023, we have transitioned health-related tertiary education to active metaverse-based pedagogy for teaching and learning activities. This approach includes in-class teaching, flipped classes, after-class learning, virtual hands-on practice, and AI tutoring. A preliminary observational study of in-class activities reveals that teachers can reinforce knowledge delivery while students enhance their learning through positive class interactions. Discussion and Conclusion The MetaL showcases the importance of leveraging technology to revolutionize traditional learning environments. Such transformation boosts students’ confidence in self-directed learning, communication skills, collaborative learning, problem-solving, innovation, critical reflection, and proficiency in professional training, but with challenges. Take Home Message In the future, the rapid advancements in online-based communication and generative AI technologies will transform the academic landscape, contributing to metaverse digital learning resources. Additionally, interior architecture and design are critical for students to experience psychological and emotional relaxation when engaging in virtual learning environments for ethical interaction.
Theme: 1. Showcase Project Achievements
Sub-theme: 1.1 Teaching Development and Language Enhancement Grant (TDLEG)
Poster Presentation Time: 1225-1400; 1500-1600
Venue: J4, Tai Po-Shek-O Room, Lower Level I
Presenter(s)
– Dr Beatrice CHU, Head, Professional Development, Center for Education Innovation, The Hong Kong University of Science and Technology
Abstract
The “Co-Creating the Future of Education” project, a collaborative effort led by the Hong Kong University of Science and Technology (HKUST), alongside the University of Hong Kong (HKU) and Hong Kong Baptist University (HKBU), advances the Student as Partners (SaP) approach within Hong Kong’s higher education sector. This initiative aims to transform pedagogical models by embedding student engagement in the learning process. Key objectives include enhancing professional development programs, enabling faculty and staff to collaborate effectively with students, and establishing a standardized evaluation framework to measure the impact of SaP initiatives. The project also emphasizes the creation of a Community of Practice for Student Partnership, facilitating the exchange of successful strategies and supporting ongoing SaP projects. Additionally, the Student Partnership Co-Creation Program is a cornerstone objective, fostering innovative ideas and collaborative efforts between students and faculty. Progress to date includes the successful implementation of five key focus areas: organizing professional development seminars, establishing a resource hub, and initiating the Student Partnership Co-Creation Program. Notably, 20 teams from various institutions participated in this program, yielding high satisfaction rates and valuable insights. Ultimately, this project seeks to create a sustainable, collaborative ecosystem that enhances student agency, faculty development, and curriculum innovation across participating institutions.
Theme: 1. Showcase Project Achievements
Sub-theme: 1.1 Teaching Development and Language Enhancement Grant (TDLEG)
Oral Presentation Time: 1400-1500
Venue: Camomile Room, Lower Level II
Presenter(s)
– Professor Adam FINGRUT, Director, Master of Architecture Programme, School of Architecture, The Chinese University of Hong Kong
Abstract
Design thinking methods are critical for architecture students as they provide a framework for human-centered and iterative problem-solving. This approach encourages students to empathize with the users of their designs, define the problem, ideate potential solutions, create prototypes, and test their ideas in real-world settings. By adopting an iterative approach toward full-scale prototyping of built projects, architecture students can gain valuable experience developing sustainable designs that consider the most efficient use of materials. The importance of prototyping with advanced tools to architecture students cannot be overstated in the context of STEAM-based higher education in Hong Kong. Using contemporary tools has become an integral part of the design process, and students must be equipped with the skills and knowledge necessary to utilize them effectively. This project considers design thinking and STEAM-based methods as essentials for architecture students as they provide a framework for developing sustainable and efficient designs. It adopts a peer learning pedagogy that promotes collaboration, mutual support, and knowledge sharing among students, which can enhance their academic and personal growth.
Theme: 1. Showcase Project Achievements
Sub-theme: Teaching Development and Language Enhancement
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: C4, Tai Po-Shek-O Room, Lower Level I
Presenter(s)
– Dr John Alexander WRIGHT, Senior Lecturer, Department of Statistics, The Chinese University of Hong Kong
– Dr Kin Chi WONG, Research Associate, Centre for Learning Enhancement and Research, Centre for Learning Enhancement and Research, The Chinese University of Hong Kong
– Ms Irene Yuet Shan LEUNG, Research Assistant, Centre for Learning Enhancement and Research, Centre for Learning Enhancement and Research, The Chinese University of Hong Kong
Abstract
The project involves having research postgraduates in statistics (Stat RPgs) teach statistical methods to research postgraduates without a statistical background to support their research studies. During their training, they view our in-house developed videos. These videos include the learning challenges faced by students without a background in statistics. The videos also provide tips for effective statistics teaching, interviews with students without a statistics background, as well as shared experiences from previous Stat RPgs. After this, the RPgs finalize a teaching plan, prepare pre-workshop videos, and ultimately deliver two sections of a 3-hour in-person, hands-on workshop on a specific statistical method. The main challenge to the project’s success is formulating effective training strategies to align Stat RPgs’ expectations with those of students who lack a statistics background. Based on feedback from workshop participants and Stat RPgs, we recommend a bespoke approach to the training. This approach prioritizes learning from personal and shared experiences, as opposed to solely focusing on hard facts, theory, and data. The training includes observing the instant reactions of non-background students to math notations and basic statistics concepts, reviewing past experiences of Stat RPgs, observing how professors conduct workshops for students without a statistics background, facilitating discussions between Stat RPgs and instructors about draft teaching materials, and reflecting on teaching experiences after hands-on workshops. These activities prompt Stat RPgs to adapt their teaching methods to better accommodate students without a statistics background. Stat RPgs have discovered that modifying their teaching styles to suit the students’ needs is more effective than attempting to change the students. We discovered that our training program even enhances the teaching of Stat RPgs for statistics major students. This suggests the potential to develop sustainable, in-house training modules for teaching assistants within the department.
Theme: 1. Showcase Project Achievements
Sub-theme: 1.1 Teaching Development and Language Enhancement Grant (TDLEG)
Poster Presentation Time: 1225-1400; 1500-1600
Venue: K4, Tai Po-Shek-O Room, Lower Level I
Presenter(s)
– Dr Kin Yat LIU, Lecturer, Statistics, The Chinese University of Hong Kong
Abstract
“Correlation does not imply causation” is an important concept that is included in almost all introductory statistics courses. Comprehending this concept is crucial for students to grasp advanced statistical concepts like multivariate analysis, Simpson’s paradox, and causal inference. However, the intricacies of this principle are often not explored in depth. To address this, we employ simulated experiences and the use of Monte Carlo simulation to provide students with an understanding of the significance and fundamental nature of the idea that “correlation does not imply causation.”
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
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
Poster Presentation Time: 1225-1400; 1500-1600
Venue: F3, Tai Po-Shek-O Room, Lower Level I
Presenter(s)
– Professor Paul Lai Chuen LAM, Associate Professor, Centre for Learning Enhancement And Research, The Chinese University of Hong Kong
Abstract
This poster presentation illustrates how a teaching and learning community of practice (T&L CoP) is leveraged as a platform to bring together knowledge workers across The Chinese University of Hong Kong. The T&L CoP explores a variety of teaching and learning topics, ranging from the application of innovative technologies, curriculum, student engagement, pedagogy, and pedagogic research. In particular, the T&L CoP is versatile in two ways. First, it highlights the multifaceted nature of the community. Such overarching T&L CoP encompasses ten special interest groups (SIGs), such as artificial intelligence for education, education for social responsibility, educational research, students as partners, and service learning. Underlying most of these SIGs is a core teacher structure, meaning that teachers serve as convenors who initiate tasks and events while receiving support from the project team. Second, the T&L CoP is versatile in the sense of adaptability. Specifically, these SIGs are constantly evolving, with new groups being formed and old ones gradually phased out, following the pedagogic needs for current and future education. In this way, the T&L CoP serves as a dynamic, interconnected hub that enables the university community to collectively navigate pedagogical innovations, share insights, and elevate teaching and learning practice across disciplines.
Theme: 1. Showcase Project Achievements
Sub-theme: 1.1 Teaching Development and Language Enhancement Grant (TDLEG)
Poster Presentation Time: 1225-1400; 1500-1600
Venue: L5, Tai Po-Shek-O Room, Lower Level I
Presenter(s)
– Ms Janet Ching Man TSE, Assistant Programme Administrator, School of Continuing and Professional Studies, The Chinese University of Hong Kong
Abstract
InternVision envisages to be an ingenious and resourceful Virtual Reality (VR) platform with interactive contents of real-life workplace simulations for enhancing practical skills and professional related concepts, reaction and decision making at a multitude of careers. Encompassing a series of VR simulations, the dual platforms of InternVision – a VR Head-Mounted Display System and a Mobile Application (app), will host internship scenarios for preparing and fostering the readiness of students of CUSCS full-time programmes at their future workplace. By integrating with the use of VR technology, InternVision enables students to gain exposure and understanding from an immersive environment where an array of tasks are assigned in each virtual simulation. Students can gain confidence and familiarity with a ‘re-try’ opportunity for self-reflection and get further improvement before the commencement of actual internship and future career. Appending with its mobile app, InternVision allows greater flexibility, convenience and user-friendliness for students of different disciplines to maneuver the VR simulations freely without time limit, to develop a deeper understanding of their roles related to their own profession and to achieve the intended learning outcomes. Self-learning materials and guidelines will also supplement the platform to support their internship training and experiential learning, especially at the recurrent waves of pandemic when internship arrangement may be affected. This presentation endeavours to share ideas on how InternVision can blend in and enrich internship preparation with a sample illustration and how it can enhance experience exchange by connecting students with internship supervisors and peer groups via technologies.
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: L4, Tai Po-Shek-O Room, Lower Level I
Presenter(s)
– Mr Kevin CHEUNG, Assistant Head of Academic Programmes (Full-time), School of Continuing and Professional Studies, The Chinese University of Hong Kong
Abstract
The iLearn English mobile application, developed by School of Continuing and Professional Studies, The Chinese University of Hong Kong (CUSCS) with QESS funding, is a sustainable mobile-assisted language learning (MALL) platform designed to enhance English proficiency among learners. Addressing the need for dynamic and engaging language learning tools, iLearn English incorporates daily reading, vocabulary, grammar exercises, and extended reading experiences to foster self-directed learning and sustain learner engagement. Research on student preferences and educational trends underscores a growing appetite for technology-enhanced learning. iLearn English meets this need by offering a personalised, accessible and multi-modal learning environment. Since its launch in February 2020, the app has logged over 10,000 users, affirming its success in enriching English language proficiency. The app has significantly improved learning experiences, fostering self-learning habits among users. Nearly 90% of students surveyed report satisfaction, noting enhanced language skills and increased motivation. iLearn English exemplifies a sustainable language education model through its diversity, flexibility, autonomy and connectedness. Moreover, it supports environmental sustainability by promoting technology integration in education. This initiative highlights the transformative potential of mobile applications in delivering accessible and efficient language learning solutions.
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
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: 1225-1400; 1500-1600
Venue: C3, Tai Po-Shek-O Room, Lower Level I
Presenter(s)
– Ms Yangzhi LI, PhD student, School of Architecture, The Chinese University of Hong Kong – Prof Adam FINGRUT, Director, Master of Architecture Programme, School of Architecture, The Chinese University of Hong Kong
Abstract
The paper presents an investigation into the integration of robotic fabrication technologies within architectural pedagogy, aiming to develop effective teaching methods and curricula tailored for a diverse group of students, including both postgraduate and undergraduate students. Robotics is an important technology in Industry 4.0, providing a wide range of capabilities in the manufacturing field. The rapid advancement of robotic arms in various industries has opened new possibilities for architectural education. Many architecture schools worldwide have established experimental laboratories equipped with robotic arms, creating opportunities for students to explore beyond the traditional scope of CNC manufacturing, however, professional courses focused on integrating robotic construction technologies into architectural education are currently scarce in the field. This research aims to explore the use of robots as an open interface for student problem-solving, geometry exploration, and programming in architectural education, catering to the students’ diverse backgrounds and skill levels. By utilizing robotic construction technologies, students can engage in hands-on experimentation, fostering the adoption of digital fabrication techniques.
Theme: 1. Showcase Project Achievements
Sub-theme: 1.1 Teaching Development and Language Enhancement Grant (TDLEG)
Oral Presentation Time: 1400-1500
Venue: Peony Room, Lower Level II
Presenter(s)
– Ms Carrie Ka Yee CHENG, Head of Academic Programmes (Full-time), School of Continuing and Professional Studies, The Chinese University of Hong Kong
Abstract
Encompassing 20 Virtual Reality (VR) simulations across 15 academic disciplines for pre-internship training, InternVision – a dual platform of a VR head-mounted display system and a mobile application (app), is developed and launched for enhancing the work-readiness of all full-time students at School of Continuing and Professional Studies, The Chinese University of Hong Kong (CUSCS). InternVision envisages to be an ingenious and resourceful platform with interactive contents of real-life workplace scenarios for elevating job competency, enhancing professional related concepts, reactions and decision making at internships, and thus formulating an insightful immersive experience for empowering learners to a multitude of careers. This oral presentation endeavours to share ideas and success factors on how InternVision is designed, constituted and operated in line with our expected high effectiveness and promising satisfaction. Via seamlessly integrating technologies at the VR system and appending with its user-friendly mobile app, InternVision brings forth greater flexibility, confidence and motivation for students to gear up for their internships and maneuver their learning more freely beyond time and location constraints. By visualising the simulations, a deeper understanding of their roles regarding their own profession can be yielded for further self-reflection, and hence achieving the intended learning outcomes. InternVision can be framed as a comprehensive and impactful solution for enhancing internship preparation and consolidating student success for a world of future profession.
Theme: 1. Showcase Project Achievements
Sub-theme: Quality Education Fund (QEF), and Quality Enhancement Support Scheme (QESS)
Poster Presentation Time: 1225-1400; 1500-1600
Venue: K3, Tai Po-Shek-O Room, Lower Level I
Presenter(s)
– Professor Apple Pui Yi CHUI, Research Assistant Professor, School of Life Sciences, The Chinese University of Hong Kong
Abstract
Coral reef restoration is a rapidly growing public engagement by many marine scientists, citizen scientists, NGOs and the public worldwide prompted by the accelerating degradation of global coral reefs along with the associated losses in the key ecosystem services. The Coral Academy at The Chinese University of Hong Kong is a scientific research team led by Dr. Apple Chui, which aims to explore interventions to enhance coral resilience and develop effective coral restoration techniques in Hong Kong. Leveraging this knowledge and unique expertise, the Academy also dedicates efforts to environmental education programmes that cultivate ocean literacy among local communities. The Academy’s flagship programme, the School Coral Nursery Education Programme, is a hands-on stewardship initiative that engages students in coral restoration activities, connecting them to the conservation of these marine ecosystems. Additionally, the Academy organizes a range of engaging learning experiences aimed at increasing participants’ knowledge and awareness, empowering them to take actions in support of coral conservation. These efforts also foster partnerships between academia, government, and non-governmental organizations in Hong Kong. This poster will highlight examples of the experiential learning methods adopted by the Academy to promote ocean literacy and public stewardship for local coral conservation.
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: C1, Tai Po-Shek-O Room, Lower Level I
Presenter(s)
– Dr Alex KOON, Senior Lecturer, School of Life Sciences, The Chinese University of Hong Kong
Abstract
This poster-sharing session shares the outcomes collected in the first phase of a TDG project, “AI for Formative Assessment”, exploring how the Automated Speech Recognition (ASR) function in AI can possibly provide formative feedback in speaking assessments. In this phase of the project, language teachers from the Centre for Language in Education at the Education University of Hong Kong have applied the ASR function on Whatsapp, a daily social messenger platform for Hong Kong students, to provide formative feedback during a consultation session in a University speaking course: Skills for Language Test I. This project explores the effectiveness, challenges, and implications of using AI to provide formative feedback on pronouncing words and phrases.