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: 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: 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: 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: 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)

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: 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)