- Reset all ×
- The Education University of Hong Kong ×
- Lingnan University ×
- The Hong Kong Polytechnic University ×
- 1.1 Teaching Development and Language Enhancement Grant (TDLEG) ×
- 1.2 Fund for Innovative Technology-in-Education (FITE) ×
- 1.3 Special UGC Grant for Strategic Development of Virtual Teaching and Learning (VTL) ×
- 2.1 Community of Practice (CoP) ×
Filter Presentations
14 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: 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: 1.1Â Teaching Development and Language Enhancement Grant (TDLEG)
Poster Presentation Time: 1225-1400; 1500-1600
Venue: H2, Tai Po-Shek-O Room, Lower Level I
Presenter(s)
– Dr Pauli LAI, Lecturer, Department of Electrical and Electronic Engineering, The Hong Kong Polytechnic University
– Dr Julia CHEN, Director, Educational Development Centre, The Hong Kong Polytechnic University
Abstract
A common assessment in university is the oral presentation, and students are often required to deliver presentations in English. Two challenges arise. First, many students mainly focus on the discipline content in the assessment preparation process rather than the communication or use of English in their presentations. Second, lecturers of large classes (e.g. around 200 engineering students in one course) hardly have time to give feedback to each student on the English communication aspect of their oral presentations. A baseline survey reveals students’ need for assistance with presentation skills and a hope for having AI-generated feedback among both students and discipline teachers. To address these needs and hope, a team of educators from PolyU and BU with expertise in language and AI technology collaboratively developed an online English oral presentation platform called SmartPresenter. SmartPresenter provides students with presentation tips, learning materials, and extensive AI-generated feedback on the communication-related aspects of delivering oral presentations in English, including eye contact, facial expressions, vocal fillers, pronunciation, and fluency. This presentation describes the development and features of SmartPresenter, and the evaluation results of the effectiveness of the platform in facilitating independent learning practices for English oral presentations and assisting teachers in grading presentation assessment.
Theme: 1: Showcase Project Achievements
Sub-theme: 1.3Â Special UGC Grant for Strategic Development of Virtual Teaching and Learning (VTL)
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: 1.2Â Fund for Innovative Technology-in-Education (FITE)
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: 1.1Â Teaching Development and Language Enhancement Grant (TDLEG)
Oral Presentation Time: 1400-1500
Venue: Rose Room, Lower Level II
Presenter(s)
– Dr Ronnie SHROFF, Principal Project Fellow, Teaching and Learning Centre, Lingnan University
Abstract
In response to the COVID-19 pandemic, the University Grants Committee (UGC) and the Quality Assurance Council (QAC) allocated dedicated funding to support the strategic long-term development of virtual teaching and learning (VTL) in Hong Kong’s eight UGC-funded universities. Lingnan University, as the lead institution of a consortium of six participating universities, secured funding to establish benchmarking practices and quality assurance standards on VTL that reference internationally accepted standards within the local context. This project aims to strengthen institutional capabilities and enhance the quality of VTL provision, including online teaching and learning, distance education delivery, and technology-enhanced learning. The project involves collaboration and funding from The University of Hong Kong, The Hong Kong University of Science and Technology and the City University of Hong Kong, as well as in-kind support from The Chinese University of Hong Kong and The Hong Kong Polytechnic University. The primary objective of this project is to establish a shared quality assurance framework and standards for online learning and teaching that align with local and global standards. By adopting a collaborative approach, this project seeks to enhance the quality of VTL as a key strategic focus area of institutional development and performance improvement. This presentation will provide an overview of the project’s key objectives, methodology and outcomes. It will also discuss the challenges encountered and lessons learned in developing quality assurance and benchmarking standards for VTL across universities. Finally, the presentation will conclude with recommendations for future collaborations to enhance the quality of VTL provision within the Hong Kong higher education context.
Theme: 1. Showcase Project Achievements
Sub-theme: Strategic Development of Virtual Teaching and Learning (VTL)
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: 1.1Â Teaching Development and Language Enhancement Grant (TDLEG)
Oral Presentation Time: 1600-1700
Venue: Rose Room, Lower Level I
Presenter(s)
– Dr Thomas LEE, Associate Professor and Associate Head (Academic) Department of Biomedical Engineering, The Hong Kong Polytechnic University
– Dr Hin Chung LAU, Senior Lecturer, Programme Leader (BSc), and Assistant Dean (Student Development) of Faculty of Engineering, Department of Biomedical Engineering, The Hong Kong Polytechnic University
– Ms Jessie KAR, Instructor, Department of Biomedical Engineering, The Hong Kong Polytechnic University
– Ms Rahat BATOOL, Student, Educational Development Centre, The Hong Kong Polytechnic University
– Mr Mitesh PATEL, Educational Development Officer, Educational Development Centre, The Hong Kong Polytechnic University
– Mr Leo CHON, Assistant Educational Development Officer II, Educational Development Centre, The Hong Kong Polytechnic University,
Abstract
Students in Hong Kong have generally been perceived as passive learners, with limited opportunities for active involvement in the development of educational experiences. Here, we would like to showcase the untapped potential of students as co-creators in subject development. By harnessing the power of Student-Staff Partnership (SSP), teachers can unlock the full potential of students, creating a dynamic and enriched learning environment that benefits both the students involved and future cohorts. This presentation explores a practical approach to harnessing the power of SSP in the co-creation of an international service-learning (SL) project. The teachers encountered difficulties in adapting original local SL project to overseas because of resources limitations. By inviting students who studied the same subject in the previous year, with outstanding performance into the decision-making processes for the next cohort, this model encourages students to contribute their unique insights and ideas in redesigning the SL project. With the students’ first-hand experience and thorough understanding of the subject’s intended learning outcomes, their contribution can make the subject more impactful and aligned with the needs of students. Not only does this approach benefit the teachers by providing a deeper understanding of student needs, but it also fosters students’ personal growth and leadership development.
Theme: 2. Thematic Exploration
Sub-theme: Community Engaged Learning & Community of Practice (CoP)
Poster Presentation Time: 1500-1600; 1700-1800
Venue: G1, Tai Po-Shek-O Room, Lower Level I
Presenter(s)
– Dr Yuk Ming TANG, Senior Lecturer, Department of Indusial and System Engineering, The Hong Kong Polytechnic University
Abstract
STEM education is essential in today’s curriculum even for university students. However, traditional classroom-based instruction methods often lack interactivity and tailored experiences that foster student engagement and comprehension. The integration of Virtual Reality (VR) and Artificial Intelligence (AI) generative chatbots has emerged as a transformative influence on the teaching and learning process. Despite this, limited research has explored the impact of advanced technology on STEM learning outcomes. This study explores the potential of employing VR and AI as tools to facilitate teaching to enhance students’ learning outcomes. 120 university students are involved in this study to examine the difference in learning outcomes by utilizing three instructional approaches for learning projectile motion: (1) a traditional didactic classroom, (2) a game-based VR metaverse, and (3) a game-based VR metaverse enriched with a generative chatbot-based pedagogical agent. The study prudently evaluated alterations in student motivation, cognitive benefit, and learning outcomes. Preliminary findings suggest that incorporating VR and AI into teaching considerably enhances student engagement and cognitive participation. This study demonstrates how the integration of VR with AI can elevate student engagement, comprehension, and skill acquisition in STEM education, paving the way for a more captivating and effective learning environment in the Edu-metaverse.
Theme: 2. Thematic Exploration
Sub-theme: 2.1 Community of Practice (CoP)
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: 1.1Â Teaching Development and Language Enhancement Grant (TDLEG)
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: 1.1Â 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: 1.2Â Fund for Innovative Technology-in-Education (FITE)
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: 1.1Â 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