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: 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: 1.3  Special UGC Grant for Strategic Development of Virtual Teaching and Learning (VTL)

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: 1500-1600; 1700-1800

Venue: L6, Tai Po-Shek-O Room, Lower Level I

Presenter(s)

– Professor Gladys Wai Lan TANG, Centre Director, Centre for Sign Linguistics and Deaf Studies, The Chinese University of Hong Kong – Mr Jafi YF LEE, Research Associate, Centre for Sign Linguistics and Deaf Studies, The Chinese University of Hong Kong – Dr Chris KM YIU, Senior Programme Officer, Centre for Sign Linguistics and Deaf Studies, The Chinese University of Hong Kong

Abstract

The Centre for Sign Linguistics and Deaf Studies is building a Community of Practice to support deaf and hard-of-hearing (d/hh) students pursuing tertiary education. The d/hh students face different barriers to information accessibility because of their diverse backgrounds and learning needs. Possible types of educational support including captioning & AI summaries, subtitles for videos, note-taking/stenography, wireless transmission system, sign interpretation, and other accommodations should be explored to address their respective needs. The project will lead to 1) an improved understanding of the learning needs of the d/hh students, 2) a raised awareness of the physical learning environment/hardware accommodations, 3) the development of new teaching strategies and practices, 4) the deployment of new tools and aids, and 5) the design of a support system with accommodation for in-class and course-end assessments. The project will host seminars to facilitate the dissemination of effective strategies for supporting d/hh students among members of the CoP. The ultimate goal is to recommend an effective and operable support system to EDB and UGC.

Theme: 2. Thematic Exploration

Sub-theme: 2.1 Community of Practice (CoP)

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: F3, Tai Po-Shek-O Room, Lower Level I

Presenter(s)

– Professor Paul Lai Chuen LAM, Associate Professor, Centre for Learning Enhancement And Research, The Chinese University of Hong Kong

Abstract

This poster presentation illustrates how a teaching and learning community of practice (T&L CoP) is leveraged as a platform to bring together knowledge workers across The Chinese University of Hong Kong. The T&L CoP explores a variety of teaching and learning topics, ranging from the application of innovative technologies, curriculum, student engagement, pedagogy, and pedagogic research. In particular, the T&L CoP is versatile in two ways. First, it highlights the multifaceted nature of the community. Such overarching T&L CoP encompasses ten special interest groups (SIGs), such as artificial intelligence for education, education for social responsibility, educational research, students as partners, and service learning. Underlying most of these SIGs is a core teacher structure, meaning that teachers serve as convenors who initiate tasks and events while receiving support from the project team. Second, the T&L CoP is versatile in the sense of adaptability. Specifically, these SIGs are constantly evolving, with new groups being formed and old ones gradually phased out, following the pedagogic needs for current and future education. In this way, the T&L CoP serves as a dynamic, interconnected hub that enables the university community to collectively navigate pedagogical innovations, share insights, and elevate teaching and learning practice across disciplines.

Theme: 1. Showcase Project Achievements

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

Poster Presentation Time: 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: C3, Tai Po-Shek-O Room, Lower Level I

Presenter(s)

– Ms Yangzhi LI, PhD student, School of Architecture, The Chinese University of Hong Kong – Prof Adam FINGRUT, Director, Master of Architecture Programme, School of Architecture, The Chinese University of Hong Kong

Abstract

The paper presents an investigation into the integration of robotic fabrication technologies within architectural pedagogy, aiming to develop effective teaching methods and curricula tailored for a diverse group of students, including both postgraduate and undergraduate students. Robotics is an important technology in Industry 4.0, providing a wide range of capabilities in the manufacturing field. The rapid advancement of robotic arms in various industries has opened new possibilities for architectural education. Many architecture schools worldwide have established experimental laboratories equipped with robotic arms, creating opportunities for students to explore beyond the traditional scope of CNC manufacturing, however, professional courses focused on integrating robotic construction technologies into architectural education are currently scarce in the field. This research aims to explore the use of robots as an open interface for student problem-solving, geometry exploration, and programming in architectural education, catering to the students’ diverse backgrounds and skill levels. By utilizing robotic construction technologies, students can engage in hands-on experimentation, fostering the adoption of digital fabrication techniques.

Theme: 1. Showcase Project Achievements

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

Poster Presentation Time: 1225-1400; 1500-1600

Venue: 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: 1500-1600; 1700-1800

Venue: B3, Tai Po-Shek-O Room, Lower Level I

Presenter(s)

– Dr Xiang LI, Assistant Professor, Department of Applied Social Science, The Hong Kong Polytechnic

– Dr Xiaoqin ZHU, Assistant Professor, Department of Applied Social Science, The Hong Kong Polytechnic

– Dr Diya DOU, Assistant Professor, Department of Applied Social Science, The Hong Kong Polytechnic

Abstract

Higher education programs often focus on disciplinary knowledge and professional skills, with cognitive skills given top priority. As a timely response to limited education for wellbeing and non-cognitive skills development, PolyU’s Leadership and Intra-personal Development Team developed four subjects, including Tomorrow’s Leaders, Promotion of Children and Adolescent Development, Service Leadership, and Service Leadership through Serving Children and Families with Special Needs to nurture students’ leadership, improve their wellbeing, and promote their whole person development. These subjects aim to nurture students to become ethical leaders of tomorrow and responsible citizens by adopting a holistic youth development approach based on cutting-edge theories and research on late adolescence and emerging adulthood, leadership development, and service-learning. To date, over 27,000 students have taken the four subjects. Different evaluation methods involving multiple stakeholders over time have demonstrated positive and significant impact of the four subjects on students’ wellbeing and holistic development. Positive feedback from students and recognition from the higher education community have contributed to these subjects receiving numerous prestigious awards, both internationally and locally. These include the UGC Teaching Award 2018 and the Gold Award in the Nurturing Wellbeing & Purpose category at the Wharton-QS Stars Reimagine Education Awards 2021.

Theme: 2. Thematic Exploration

Sub-theme: 2.4  Whole-Person Development

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)