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42 posts found
Oral Presentation Time: 1400-1500
Venue: Fanling Room, Lower Level I
Presenter(s)
– Dr Richard Wing Cheung LUI, Senior Lecturer, Department of Computing, The Hong Kong Polytechnic University
Abstract
This presentation introduces the design and implementation of GPTutor, a Generative AI (GenAI) powered Intelligent Tutoring System (ITS) developed at the Hong Kong Polytechnic University (PolyU). GPTutor aims to enhance student learning experiences through personalised tutoring and interactive exploration. It helps students gain a deeper understanding of the course materials provided by their instructors. During the first phase of our implementation, we developed features for instructors to upload and manage their course content and to create learning scenarios based on the learning content. The system includes a conversational interface for students to ask questions and explore course content to deepen their understanding. As the answers are generated based on the instructor-uploaded content, GPTutor provides more factual responses, reduces hallucinations, and aligns better with the instructors’ intended learning outcomes (ILO). We will also share findings from our pilot study, which involved approximately 200 undergraduate and postgraduate students at PolyU. Finally, we will discuss our future plans for further development and enhancement of the platform.
Theme: 1. Showcase Project Achievements
Sub-theme: Innovative Technology-in-Education
Poster Presentation Time: 1225-1400; 1500-1600
Venue: I1, Tai Po-Shek-O Room, Lower Level I
Presenter(s)
– Dr Selena YAN, Senior E-learning Assistant, Li Ka Shing Faculty of Medicine, The University of Hong Kong
– Ms Leah LI, Senior E-learning Assistant, School of Clinical Medicine, The University of Hong Kong
Abstract
Generative Artificial Intelligence (GenAI) is a transformative technology that fosters creativity, problem-solving, and critical thinking skills in various industries, including healthcare and medical education. At HKU Medicine, we appreciate the importance of advancing GenAI literacy and propose to develop and deliver a new online course that covers the latest advances, pitfalls, ethical and professional aspects of GenAI. We aim to advance AI and digital competency for all students, professoriates and clinicians at HKU Medicine and the Hong Kong medical community. To evaluate the effectiveness of this online GenAI literacy course, an assessment study will be conducted. We will use a mixed methods approach to collect both quantitative and qualitative data through pre- and post- surveys, individual interviews and practical exercises. The survey will be adapted from the “Scale for the Assessment of Non-Experts’ AI Literacy” (SNAIL), while the interviews will provide additional context and insights into participants’ experiences and challenges with GenAI. Practical exercises will provide objective data for evaluation. Target participants will be recruited through convenience sampling, and data analysis will include both statistical and thematic analyses. The study has already obtained ethical approval. Results from this study will be used to identify improvement needs for the online course and inform the integration of GenAI in medical and health sciences education and clinical practices. Overall, the project will contribute to the advancement of GenAI literacy in medical education and healthcare professions, supporting the ethical and effective application of GenAI technology in these fields.
Theme: 1: Showcase Project Achievements
Sub-theme: 1.2 Fund for Innovative Technology-in-Education (FITE)
Poster Presentation Time: 1225-1400; 1500-1600
Venue: F1, Tai Po-Shek-O Room, Lower Level I
Presenter(s)
– Ms Ka Yee Shirley CHAN, Lecturer, Centre for Language in Education, The Education University of Hong Kong
– Miss Mandy Xiao Ming YE, Research Assistant and student participant, Centre for Language in Education, The Education 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)
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: I4, Tai Po-Shek-O Room, Lower Level I
Presenter(s)
– Dr Yanjie SONG, Associate Professor, Department of Mathematics and Information Technology, The Education University of Hong Kong
– Mr Kaiyi WU, Department of Mathematics and Information Technology, The Education University of Hong Kong
Abstract
Integrating artificial intelligence (AI) into educational settings is crucial for developing innovative teaching methods that enhance student learning. This study investigates the development and application of Learningverse, a 2D/3D metaverse platform that integrates digital humans with advanced Large Language Model Operations (LLMOps) to create AI teaching agents. Leveraging the capabilities of Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG), we designed intelligent digital human teachers. These LLMOps system-constructed multi-agents, including Communication Encoder, Body Movement Coding Encoder, Eye Gaze Coding Encoder, and Expression Coding Encoder, provide personalized and strategic scaffolding to students, offering real-time feedback and support to improve their learning outcomes. Additionally, the platform utilizes GPT-SoVITS trained TTS to clone real teachers’ voices, enhancing the realism of digital human teachers. The platform can customize digital teachers and build scenarios based on different subject courses, adapting them to various thematic curricula. A pilot study evaluated the effectiveness of these digital teachers in enhancing student engagement and performance in Learningverse. Preliminary findings reveal a significant improvement in students’ interactions, motivation, and overall learning achievements. This research highlights the potential of LLMOps-integrated digital human teachers in transforming teaching practices and enriching educational experiences in the metaverse.
Theme: 1. Showcase Project Achievements
Sub-theme: 1.2 Fund for Innovative Technology-in-Education (FITE)
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)
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)
Poster Presentation Time: 1225-1400; 1500-1600
Venue: C2, Tai Po-Shek-O Room, Lower Level I
Presenter(s)
– Professor Bin LI, Associate Professor, Department of Linguistics and Translation, City University of Hong Kong
– Dr Yee Na LI, Part-time Research Associate, Department of Linguistics and Translation, City University of Hong Kong
Abstract
Our ten years’ evidence-based study revealed that the alternative pathway from sub-degree to degree studies is viable while challenging for Senior Year Admission (SYA) students. The inadequate alignment between sub-degree and university programmes is the main determinant of their heavy academic workload. Their transitional challenges call for an examination of the existing programme articulation process and academic advising to SYA students. In response to their needs, the project sustains our previous work from UGC-funded and TDG sustainability projects to promote best practices to support SYA students. An online Cross Institutional Credit-transfer Information System (CICIS) was launched to enhance the transparency of credit transfer and facilitate smooth transition of SYA students. Another student-centred Resources Website was developed to provide cross-institutional support to SYA students from the first point of transferring to universities. In addition, a series of collaborative activities, such as an international Credit Transfer Conference, local and overseas webinar sessions and the Internationalisation-at-Home (IaH) programme, has been organised. The project provides implications to administrators and policy makers in higher education, informing policies and practices to optimize the transfer experience for students’ greater success in universities and in the society.
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: J1, Tai Po-Shek-O Room, Lower Level I
Presenter(s)
– Professor Jeanne TAN, Professor, School of Fashion and Textiles, The Hong Kong Polytechnic University
– Dr Wing Chung WONG, Post-Doctoral Fellow, School of Fashion and Textiles, The Hong Kong Polytechnic University
Abstract
Talent development in innovation and technology is key to the sustainable development of a vibrant economy. STEM education plays a vital role in nurturing a globally competitive workforce for the future. Fostering STEM literacy at the early stages of education will equip students with the core knowledge and interdisciplinary skills for creative innovation and contributing to the future economy. Conventional education is often discipline-focused with a tendency to employ linear learning strategies which do not fully explore the knowledge opportunities present in the interdisciplinary STEM content. This often results in a skewed emphasis on technical content which young students may find difficult to contextualise in daily life. The reflective and adaptive nature of design may serve as an effective bridge to connect creativity and knowledge seeking in STEM domains (Toomey and Tan, 2018). A design-led STEM framework was adopted in two Quality Education Fund projects, reaching over 1000 secondary school students. These projects utilized fashion, artificial intelligence, and e-textiles as mediums to help students develop problem solving skills with real world applications.
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: 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: L2, Tai Po-Shek-O Room, Lower Level I
Presenter(s)
– Dr Kenneth Chi-hang LO, Associate Division Head and Senior Lecturer, Division of Science, School of Medical and Health Sciences, College of Professional and Continuing Education, The Hong Kong Polytechnic University
– Dr Anthony Wai-keung LOH, Division Head and Director of Hong Kong Community College, Division of Science, School of Medical and Health Sciences, College of Professional and Continuing Education, The Hong Kong Polytechnic University,
Abstract
The learning and teaching of science and/or engineering subjects face a big challenge under the COVID-19 pandemic because all face-to-face laboratory works are suspended. Since laboratory works are essential and critical elements to science and engineering education. Teachers have tried other means to relief the effect by performing demonstration, simulation or virtual laboratory, such that experimental data can be collected for analysis afterwards. However, students commented that they cannot see and control the laboratory apparatus in “real” time. Besides, students are required to conduct experiments in a fixed schedule and usually the teaching and laboratory schedules are not synchronized, due to the limited laboratory equipment and space. Students are required to conduct the experiment before the teaching of the corresponding theory. This affects their learning experience and motivation. The proposed project aims to develop a web-based remote laboratory for science and engineering education to facilitate student independent learning and enhance their learning experience. The objectives of the project are to: (1) design the infrastructure and software specification of the remote laboratory system; (2) identify experimental sets that can be conducted remotely; (3) enhance student learning experience and engagement as “real time” operation of laboratory equipment individually or in a group at anytime and anywhere under safe and controlled environment; (4) reduce the initial investment on offering science and/or engineering programmes by other local institutions for a better development of the sector; (5) enhance collaboration between local and even overseas institutions by sharing experimental sets; (6) inspire the tertiary education sector to develop blended and online teaching modules for science and engineering subjects which required laboratory works.
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: 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: A4, Tai Po-Shek-O Room, Lower Level I
Presenter(s)
– Ms Yi LI, Lecturer, Centre for Language in Education, The Education University of Hong Kong
Abstract
To enhance students’ proficiency in Putonghua and facilitate their integration into the workplace and life in the Greater Bay Area, the Centre for Language in Education at The Education University of Hong Kong is undertaking a Teaching Development Grant (TDG) project for 2023-2024. This project aims to engage professionals from various industries in the Greater Bay Area to conduct interviews on topics related to “work” and “life.” The interviews are categorized into four sections: “Job Hunting,” “Workplace Communication,” “Workplace Culture,” and “Life,” comprising a total of 20 topics. To provide comprehensive learning resources, the project team has recorded video interviews with experts, accompanied by textbook explanations. These valuable resources have been uploaded to EdUHK’s online learning platform, ensuring accessibility for all students. By utilizing this platform, students can enhance their learning experience and foster their understanding of the workplace environment in the Greater Bay Area. Through this initiative, students will gain valuable insights into the practical aspects of working and living in the Great Bay Area. The project aims to equip students with the essential language skills and cultural understanding required to excel in their future careers. This TDG project is designed to create an immersive and engaging learning environment by collaborating with industry professionals and leveraging an online platform. Collaborating with industry professionals and leveraging online platforms aims to create an immersive and engaging learning environment for students, preparing them for success in the dynamic Greater Bay Area.
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)
– Dr Angela LI, Associate Professor, Division of Science, School of Medical and Health Sciences, Tung Wah College
– Dr Monica CHOW, Project Manager, Division of Science, School of Medical and Health Sciences, Tung Wah College
Abstract
Aiming to enhance the job-readiness of our students, an electronic teaching and learning kit for job-ready skill training (e-JR kit) is developed. This e-JR kit consists of three teaching modules that cover the topics of core skills needed for a paraprofessional job as a clinical assistant, including Module 1 Communication skills in the workplace, Module 2 safety and ethical issues in the workplace and Module 3 professional skills in the workplace. The regular industry involvement is a key feature of this e-JR kit project. Different industry stakeholders are continuously consulted, help with the design of real workplace scenarios, and give feedback on the effectiveness of the training. To accommodate the learning preferences of the current generation of students, the content of this e-JR kit is presented in bite-sized topics, such as case scenarios, short videos and small quizzes, and the design is highly visual and interactive. This well-designed kit will help students integrate their skills before employment, and to equip them with skills for a range of possible scenarios in the workplace. To promote the use of the e-JR kit, the completed kit will be shared with other local institutions and our industry partners in the pre-job training of their students and new staff.
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: 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)
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)
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: Camomile Room, Lower Level II
Team member(s)
– Professor Alvin Chung Man LEUNG, Associate Head & Associate Professor, Department of Information Systems, City University of Hong Kong
Abstract
The COVID-19 pandemic has highlighted the critical importance of online learning, where learners must engage in self-regulated learning (SRL) to achieve optimal outcomes. Gamification interventions have been implemented to improve SRL engagement in online environments, but the mixed results of these efforts have raised doubts about their efficacy. This study investigates whether the inconsistent findings can be attributed to a lack of consideration for individual learner characteristics during gamification design. Focusing on Massive Open Online Courses (MOOCs), we examined how gamified performance feedback interacted with learners’ goal orientation, an individual trait known to influence SRL and learning. By tracking the SRL engagement of 760 college students over five weeks using learning analytics, we found that positively framed performance feedback without social comparisons increased SRL engagement and learning outcomes for participants with a strong performance-avoidance goal orientation. Conversely, the same feedback had a negative impact on participants with a strong mastery goal orientation. These findings contribute to SRL theory by demonstrating that the effectiveness of gamification in online learning is contingent on aligning the design elements with individual learner characteristics and highlight the importance of personalized gamification approaches to optimize SRL and learning in MOOC.
Theme: 1. Showcase Project Achievements
Sub-theme: Teaching Development and Language Enhancement
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: 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)
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)
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
Poster Presentation Time: 1225-1400; 1500-1600
Venue: G4, Tai Po-Shek-O Room, Lower Level I
Presenter(s)
– Dr Hung-lin CHI, Associate Professor, Department of Building and Real Estate, The Hong Kong Polytechnic University
– Ms Junyu CHEN, Ph.D Student, Department of Building and Real Estate, The Hong Kong Polytechnic University
– Mr Haolei LIN, Ph.D Student, Department of Building and Real Estate, The Hong Kong Polytechnic University
Abstract
KnowLearn is an interactive learning assistant system designed for architecture, engineering, and construction (AEC) education, where personalized recommendations for students in virtual learning environments remain under-explored. An educational knowledge graph (KG) was constructed to contain multifaceted information by connecting pedagogical, learning performance, and learning feedback data as sub-graphs. A heterogeneous graph attention network (HAN) was implemented to infer latent information in the educational KG and identified essential factors shaping students’ acceptance of virtual learning environments. Based on sampling data of 107 students from the Hong Kong Polytechnic University, Department of Building and Real Estate, we found students’ self-efficacy, intention to use, and in-class quiz performance were significant predictors of final learning outcomes in subjects that adopt virtual learning environments. This project further deployed a local-based large language model (LLM) Qwen-7B and built an interactive graphical user interface (GUI) with Gradio. Utilizing the information preserved in the educational KG and learned from HAN as the basis, this LLM facilitated conversations between students and KnowLearn, enhancing personalized recommendations while securing student privacy. The developed system contributed to helping improve the learning experiences and performances of AEC students within virtual learning environments.
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 Anna Wai Yee YUEN, Lecturer / Person-in-charge, Virtual Exchange Centre, School of Continuing Education, Hong Kong Baptist University
Abstract
Funded by the Quality Enhancement Support Scheme (QESS), the “Virtual Exchange for Authentic Teaching and Learning Innovation” project aims to establish partnerships with international tertiary institutions, equip teaching staff with Virtual Exchange (VE) skills, and promote VE as an innovative teaching pedagogy. The Virtual Exchange Centre (VEC) was established at the School of Continuing Education (SCE) in September 2022 to facilitate VE opportunities with our global partners. This presentation highlights SCE’s internationalisation efforts in VE, featuring successful course-embedded exchanges and extracurricular activities with institutions worldwide. Partnerships have been established with institutions from the U.S., U.K., Canada, Sweden, Australia, Japan, and Malaysia, with ongoing exploration of VE collaborations with potential partners from Mexico, Germany, Spain, Thailand, and India. Supported by quantitative and qualitative data, the presentation showcases the positive impact of internationalisation in VE on teaching and learning experiences. Engaging videos and compelling stories from SCE’s VE programs will be shared. In summary, the project exemplifies SCE’s commitment to enhancing education through global connection and collaboration through VE. It showcases the establishment of global partnerships, the development of VE programs, and the positive outcomes of internationalisation efforts. The presentation aims to inspire and inform the audience about the growing trend and transformative potential of VE in higher education.
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: I3, Tai Po-Shek-O Room, Lower Level I
Presenter(s)
– Ms Winnie WONG, Educational Development Manager, Centre for Learning, Teaching and Technology, The Education University of Hong Kong
– Mr Vincent CHAN, Educational Development Assistant, Centre for Learning, Teaching and Technology, The Education University of Hong Kong
Abstract
Background and Objectives: This project aims to leverage the immersive capabilities of the metaverse to enhance data security and privacy awareness among students and staff at the Education University of Hong Kong. Develop a series of interactive and engaging educational materials to enhance the understanding of data security principles and data privacy policies. Design and implement a dynamic and user-friendly online platform (Metaverse Space) to host the educational materials, facilitating easy access and learning for target audiences. Methods and Findings: Within this metaverse-based platform, users are presented with practical scenarios that simulate real-world situations involving security-critical concepts. The educational virtual environment is strategically gamified to motivate users through rewarding challenges and progressive levels, bridging the gap between theory and practice. The dynamic simulation exercises allow participants to directly experience the impact of security failures and rehearse protective actions in a risk-free, controlled setting, nurturing applied skills alongside conceptual understanding. The survey results, based on responses from (n=20), indicate that the gamified metaverse prototype is both engaging and effective in teaching data security and privacy concepts. The interactive scenarios and simulations were particularly praised for their usefulness in understanding real-world data security issues. The navigation of the metaverse environment was generally considered easy. Overall, the positive responses suggest that the gamified metaverse is a valuable tool for learning data security, demonstrating its effectiveness in an educational context. Discussion and Perspectives: Leveraging Metaverses data security learning platform offers an innovative and immersive approach to addressing the limitations of traditional training methods, empowering users with comprehensive knowledge and applied skills to mitigate evolving cyber threats.
Theme: 1. Showcase Project Achievements
Sub-theme: 1.2 Fund for Innovative Technology-in-Education (FITE)
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: L3, Tai Po-Shek-O Room, Lower Level I
Presenter(s)
– Dr Dr Edmund Tai Ming WUT, Senior Lecturer, Division of Business and Hospitality Management, College of Professional and Continuing Education, The Hong Kong Polytechnic University
Abstract
We aim to investigate factors affecting students’ intention to join blended learning courses in higher education sector using Community of Inquiry framework and Unified Theory of Acceptance and Use of Technology (UTAUT) model. Stimulus-Organism-Response (S-O-R) model was employed to develop a new research framework while constructs in the Community of Inquiry are Stimulus and constructs from UTAUT are considered as Organism and Response. A survey was conducted with undergraduate students in a Hong Kong higher institution. It was found that Teaching Presence (TP), Social Presence (SP) and Cognitive Presence (CP) were associated with performance expectancy, social influence and effort expectancy respectively. Performance expectancy and effort expectancy were associated with social influence. Social influence was associated with students’ attitude towards blended learning. Institution support was not related to the students’ attitude towards blended learning in the post-pandemic period. Attitude towards blended learning was associated with their behavioral intention to participate in blended learning. Online and offline tools could be adopted to improve the students’ acceptance towards the blended learning approach.
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: G3, Tai Po-Shek-O Room, Lower Level I
Presenter(s)
– Professor Fraide A. Jr GANOTICE, Assistant Professor, Bau Institute of Medical and Health Sciences Education, Li Ka Shing Faculty of Medicine, The University of Hong Kong
Abstract
Disciplinary silos often perpetuate hierarchical relationships and competition, creating a significant barrier to teamwork and collaboration in healthcare. Students who are exclusively trained within the confines of their discipline and university miss out on opportunities to develop the interprofessional competencies necessary for managing complex medical conditions of patients. Therefore, cross-institutional interprofessional education is crucial to promote the sharing of expertise among professionals from different universities and to prepare students for clinical practice. This presentation will highlight the significant achievements of the project titled “Promoting cross-institutional collaboration through interprofessional education: Forging alliances in healthcare education.” Initiated by the University of Hong Kong (HKU) in partnership with the Hong Kong Polytechnic University (PolyU), this innovative project aims to break down educational silos and foster interprofessional competencies among healthcare students. The project’s core objective is to enhance patient-centered care by developing and implementing a model of interprofessional education that integrates various healthcare disciplines. Throughout the four phases of the project—Program Development, Pilot Testing, Actual Implementation, and Evaluation and Dissemination—numerous achievements have been documented. These include the successful integration of interprofessional education into the curricula, enhanced collaborative competencies among students. The project also pioneered the development of an evidence-based cross-institutional IPE Model, setting a benchmark for future educational endeavors in the healthcare sector. This presentation will delve into the methodologies employed, the collaborative initiatives between HKU and PolyU, and the positive impact on healthcare education highlighted by reduced medical errors and improved healthcare outcomes. By showcasing these achievements, the session aims to inspire continued progress in interprofessional education and collaboration across healthcare institutions globally.
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)
Oral Presentation Time: 1400-1500
Venue: Camomile Room, Lower Level II
Presenter(s)
– Professor Michael BOTELHO, Clinical Professor, Restorative Dental Sciences, Faculty of Dentistry, The University of Hong Kong
– Ms Trinity JIAO, HKU SaP CoP Project Coordinator, Restorative Dental Sciences, Faculty of Dentistry, The University of Hong Kong
Abstract
The “Students as Partners (SaP)” support framework fosters active interdisciplinary collaboration. Key initiatives undertaken by the Students as Partners Community of Practice (SaP CoP) involve organizing seminar-sharing sessions, hosting internal CoP meetings, and conducting formal consultation sessions for those initiating SaP projects. These efforts offer valuable learning opportunities and continuous support for both educators and students. At HKU, the SaP CoP has developed a Scope, Process, and Levels framework for SaP activities. In partnership with TALIC, the SaP CoP has established a dedicated webpage and featured it in the HKU bulletin. These initiatives have been well-received by students and staff alike, providing meaningful experiences and practical guidelines that significantly contribute to their learning and engagement journey.
Theme: 1. Showcase Project Achievements
Sub-theme: Teaching Development and Language Enhancement
Poster Presentation Time: 1225-1400; 1500-1600
Venue: A1, Tai Po-Shek-O Room, Lower Level I
Presenter(s)
– Ms Crystal LUO, Teaching and Learning Manager, Centre for Learning, Teaching and Technology, The Education University of Hong Kong
– Miss Pui Ying WONG, Educational Development Officer, Centre for Learning, Teaching and Technology, The Education University of Hong Kong
Abstract
The global pandemic prompted academic institutions to shift from traditional test-based assessments to alternative assessments, including methods such as self-assessments, peer evaluations, and digital technology-enhanced tasks. The effectiveness of alternative assessment hinges on students’ perceptions, which may subsequently influence their degree of engagement. This study was thus designed to investigate the relationship between students’ perceptions and their involvement in alternative assessment in a Hong Kong university. An online survey was administered to 177 students between November 2022 and February 2023, with the collected data undergoing quantitative analysis. The results show that students generally maintain moderate levels of positive perceptions and active involvement towards alternative assessments. Moreover, a statistically significant correlation was observed between their perceptions and involvement. Our findings not only provide evidence to support the relationship between students’ perceptions and their involvement in alternative assessment practices, but also provide insights into the importance of understanding the real-life applicability of such assessments, the facilitating role of technological tools, and the practical implementation of these assessments into courses.
Theme: 1. Showcase Project Achievements
Sub-theme: 1.1 Teaching Development and Language Enhancement Grant (TDLEG)
Poster Presentation Time: 1225-1400; 1500-1600
Venue: K1, Tai Po-Shek-O Room, Lower Level 1
Presenter(s)
– Dr Laura ZHOU, Education Development Officer, Education Development Centre, The Hong Kong Polytechnic University
– Mr Leo WONG, Project Associate, Education Development Centre, The Hong Kong Polytechnic University
Abstract
The flipped learning and teaching approach redefines the traditional classroom dynamic by swapping the order of direct instruction and homework activities. In a flipped classroom, students engage with instructional materials (such as videos, readings, or podcasts) outside of class, freeing up valuable in-class time for active learning, collaborative activities, and deeper understanding. In our quest to promote effective flipped learning and teaching practices, we conducted comprehensive interviews with experienced teaching staff at PolyU, who have successfully integrated this methodology into their course. Their valuable insights were collected and compiled into case studies, which were then disseminated to all teaching staff members through e-newsletters and experience sharing workshops. These teaching cases serve as compelling examples, showcasing the versatility and impact of flipped learning and teaching. They underscore the significance of adapting pedagogical methods to enhance student learning experiences. By shifting the locus of content consumption outside the classroom, educators empower students to actively engage with the material during face-to-face sessions, fostering a deeper understanding and more meaningful interactions.
Theme: 1: Showcase Project Achievements
Sub-theme: 1.2 Fund for Innovative Technology-in-Education (FITE)
Oral Presentation Time: 1400-1500
Venue: Peony Room, Lower Level II
Presenter(s)
– Dr Peggy NG, Principal Lecturer, Division of Business and Hospitality Management, College of Professional and Continuing Education, The Hong Kong Polytechnic University
Abstract
With the development of innovative technology, virtual reality (VR) has become very popular and accessible to the public. There has been growing evidence that VR can influence people and change their values and behaviors. VR encourages individuals, especially teenagers, to engage in a specific behavior, such as pro-environmental behavior (PEB). Pro-environmental behavior (PEB) allowed lowering the environmental harms deliberately and substantially enhancing the future harmony. Using Value-Belief-Norm (VBN) theory, the present study aims to examine the relationship between teenagers’ perceived values and pro-environmental behavioral intention in VR platforms. Students (N = 120) were invited to visit the VR lab for an immersive experience focused on carbon footprint. The results showed that hedonic value predicts pro-environmental intention, whereas altruistic value predicts awareness of responsibility of individuals. The findings of the study will contribute to both theoretical and practical contributions. From practical perspectives, integrating VR into sustainability education can enhance student engagement by providing immersive and interactive VR experiences. This innovative approach of teaching fosters students’ pro-environmental intention, raising awareness of personal responsibility in caring for the environment. By incorporating VR elements into programme development, higher education institutions can better equip students with the knowledge in sustainability to address future environmental challenges.
Theme: 1. Showcase Project Achievements