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: 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)

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: 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: 1500-1600; 1700-1800

Venue: D3, Tai Po-Shek-O Room, Lower Level I

Presenter(s)

– Dr Kin WAN, Teaching Fellow, School of Optometry, The Hong Kong Polytechnic University

– Dr Jeffrey LEUNG, Teaching Fellow, School of Optometry, The Hong Kong Polytechnic University

Abstract

This study assesses an inter-professional training program aimed at improving the skills of optometry and education students in addressing the visual needs of children with special educational needs (SEN). Due to communication and behavioral challenges, SEN children are at a higher risk of having undetected visual problems, necessitating effective collaboration between optometrists and educators. The program included lectures, workshops, and practical vision screenings at special schools. Pre- and post-program surveys, using a Likert scale, measured participants’ understanding of SEN and confidence in managing visual issues in these children. Thirty-seven optometry and 21 education students participated in the study. Results showed a significant enhancement in the understanding of SEN characteristics and the importance of pediatric eye care (p < 0.001 and p < 0.023 respectively). Optometry students reported increased confidence in building rapport with SEN children, conducting eye exams, and making professional judgments (p ≤ 0.006). The findings suggest that inter-professional training can effectively improve the competence of future professionals in providing comprehensive eye care to SEN children, showcasing the benefits of collaborative educational approaches between healthcare and special education sectors.

Theme: 2. Thematic Exploration

Sub-theme: 2.2 Diversity and Inclusion Education

Oral Presentation Time: 1600-1700
Poster Presentation Time: 1500-1600; 1700-1800

Oral Presentation Venue: Camomile Room, Lower Level II
Poster Presentation Venue: D2, Tai Po-Shek-O Room, Lower Level I

Presenter(s)

– Ms Hong Ching CHAN, Senior Curriculum Development Officer, Centre for Advancement of Chinese Language Education and Research, Faculty of Education, The University of Hong Kong

– Ms Hongyun DENG, Research Manager, Centre for Advancement of Chinese Language Education and Research, Faculty of Education, The University of Hong Kong

Abstract

Empowering ethnic-minority students’ learning of writing is essential to students’ development in school and beyond. The advent of generative artificial intelligence (GenAI) has accelerated the transformation of education systems, providing new possibilities for addressing their challenges. Guided by the writing process theory, social constructivism, and self-regulated learning, this study proposes the WISE framework, comprising four key components: Write, Investigate, Synthesize, and Evaluate. It also reports on qualitative research, incorporating participant observation and content analysis, on WISE’s implementation among 10 ethnic-minority students in three primary schools in Hong Kong. The results suggest that this framework can systematically support students’ writing abilities in terms of 1) enriching vocabulary and language usage, 2) improving quality and depth of writing content, 3) enhancing writing structures and creativity, and 4) strengthening critical thinking.

Theme: 2. Thematic Exploration

Sub-theme: Diversity and Inclusion Education

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)

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
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)

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: 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: 1500-1600; 1700-1800

Venue: L1, Tai Po-Shek-O Room, Lower Level I

– Dr Joseph Yui-yip LAU, Interim Head of Student Affairs and Senior Lecturer, Division of Business and Hospitality Management, College of Professional and Continuing Education, The Hong Kong Polytechnic University

Abstract

Strengthening diversity and inclusion education may foster Hong Kong to establish a regional education hub in the Asia Pacific region. To align with the dual objectives of internationalization and the integration of the Greater Bay Area, the admission policy and strategy have been fundamental changes in the past few decades. As expected, the student population is not only local students but also mainland students, ethics minorities, and other foreign students jointly enroll in the programme, participate in the student activities, and use the campus facilities for learning and social networking purposes. In response, the Student Affairs Office plays a crucial role in building diversity and inclusion education on the campus. This study aims to investigate the current context of the higher education sector, to identify the challenges of building diversity and inclusion education on campus, and to propose possible future trends of building diversity and inclusion education in the higher education sector in the forthcoming years.

Theme: 2. Thematic Exploration

Sub-theme: 2.2 Diversity and Inclusion Education

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)