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: 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)

Poster Presentation Time: 1225-1400; 1500-1600

Venue: A3, Tai Po-Shek-O Room, Lower Level I

Presenter(s)

– Professor Suntong QI, Assistant Professor of Teaching, Department of Marketing and International Business, Lingnan University

Abstract

As the adoption of AI-generated content (AIGC) continues to grow in educational settings, it is crucial to understand its impact on student learning experiences. Through surveys with undergraduate students, we explore students’ attitudes, perceptions, and expectations toward AIGC in their academic pursuits. By examining the student perspective, the presentation will provide valuable insights into the evolving landscape of AIGC in education. It will highlight the strategies and best practices that educational institutions can implement to ensure the responsible and ethical use of AIGC, empowering students to navigate this technological landscape effectively.

Theme: 1. Showcase Project Achievements

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

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: 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)

Poster Presentation Time: 1225-1400; 1500-1600

Venue: A2, Tai Po-Shek-O Room, Lower Level I

Presenter(s)

– Professor Helen Hongyan GENG, Assistant Professor of Teaching, Science Unit, Lingnan University

Abstract

This study investigates the implementation of co-teaching in four general education courses — Earth Science, Environmental Science, Ecology, and Law—centered around the theme of carbon footprint. The project unfolds in two phases. Phase I engages Earth Science and Environmental Science in a structured debate on climate change, aiming to enhance students’ critical thinking by juxtaposing evidence supporting climate change against skeptical views. Phase II extends the co-teaching model to include Earth Science, Law, and Ecology, with a focus on groundwater pollution, to highlight a multidisciplinary approach to the issue. Throughout both phases, students from the co-teaching courses assimilated both face-to-face and online, concluding with individual research projects that analyze their co-teaching experiences. This study aims to promote curiosity-driven learning, nurture multidisciplinary education, and enhance students’ critical thinking and analytical competence.

Theme: 1. Showcase Project Achievements

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

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)