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- College of Professional and Continuing Education, The Hong Kong Polytechnic University ×
- The Education University of Hong Kong ×
- Lingnan University ×
- The Hong Kong Polytechnic University ×
- Yew Chung College of Early Childhood Education ×
- 1. Showcase Project Achievements ×
- 2. Thematic Exploration ×
- 1.1 Teaching Development and Language Enhancement Grant (TDLEG) ×
- 2.1 Community of Practice (CoP) ×
- 2.4 Whole-Person Development ×
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8 posts found
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: 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)
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)
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: 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: 2.4Â Whole-Person Development
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.