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)

Poster Presentation Time: 1225-1400; 1500-1600

Venue: F4, Tai Po-Shek-O Room, Lower Level I

Presenter(s)

– Mr Chun Hoi CHEUNG, Assistant Professor of Practice, School of Chinese Medicine, Hong Kong Baptist University

– Miss Hoi Yan FONG, Hong Kong Baptist University

– Miss Judith WONG, Hong Kong Baptist University

– Mr Conrad Kwan Ho CHAN, Hong Kong Baptist University

– Mr Shu Kin FONG, Hong Kong Baptist University

Abstract

Background: Led by Hong Kong Baptist University in collaboration with the University of Hong Kong, the project initiated the first-of-its-kind non-conventional simulation practicum in a realistic setting using Virtual Reality(VR) technology. Aim: The aim is to enhance students’ first-hand experiences with TCM diagnosis and consultations, thereby optimize the effectiveness of service-learning and equip students with necessary attributes such as self-learning ability and communication skills as future practitioners. Method The project encompassed (1)scriptwriting for VR development, (2)VR application with debriefing sessions held to explain the rationales of diseases and relevant physical examinations(PE) to students, and (3)skills contribution in service-learning. Numerical data was obtained through pre and post VR survey for analysis. The statistical test used was Wilcoxon signed-rank test, a paired difference test for comparing the pre-post scores of two matched samples. Post-VR focus group interviews were conducted to collect students’ views on the pros and cons of VR. Evaluation results Quantitatively, 51students completed the VR activity and responded the pre and post VR survey. Under 10-mark scoring scale with 10 as the largest extent, students’ self-evaluation on professional knowledge improved significantly. The medians of the mastery of diagnostic criteria, typical symptoms and physical examinations all increased from 6 to 7 with p<0.001. Students’ self-learning ability, understanding towards consultation procedures, technique in verbal consultation and skills in communicating with patients elevated from 6 to 7 in median, with p-values of 0.009,<0.001,<0.001 and p<0.05 respectively. Qualitatively, students mentioned in focus group that they got insights on the choices of physical examinations to be done in service-learning through VR. Yet, some students reported dizziness and nausea caused by VR headsets as the main barrier of the project, making it inapplicable to all students. Conclusion: This innovative approach is proven to improve clinical knowledge, foster self-learning ability, and develop generic attributes of students.

Theme: 1: Showcase Project Achievements

Sub-theme: 1.1  Teaching Development and Language Enhancement Grant (TDLEG)

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: 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)

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)

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)

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: 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)

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.

Theme: 1. Showcase Project Achievements

Sub-theme: 1.1  Teaching Development and Language Enhancement Grant (TDLEG)