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- Hong Kong Baptist University ×
- The University of Hong Kong ×
- The Hong Kong Polytechnic University ×
- Tung Wah College ×
- 1. Showcase Project Achievements ×
- 2. Thematic Exploration ×
- 1.2 Fund for Innovative Technology-in-Education (FITE) ×
- 2.3 Community Engaged Learning ×
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5 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
Oral Presentation Time: 1600-1700
Poster Presentation Time: 1500-1600; 1700-1800
Oral Presentation Venue: Rose Room, Lower Level II
Poster Presentation Venue: E4, Tai Po-Shek-O Room, Lower Level I
Presenter(s)
– Professor Joseph CHAN, Associate Director at Centre for Innovation and Entrepreneurship, HKU Business School, The University of Hong Kong
– Dr Jing LI, Lecturer and BBA (International Business and Global Management) Deputy Programme Director, HKU Business School, The University of Hong Kong
Abstract
Teaching and learning for innovation and entrepreneurship requires equipping students with the necessary skills for cross-disciplinary innovation: conducting academic research for scientific advancement, designing projects to translate research into applications, and connecting these to the value-chain for market adoption and commercialization. This TDG project aims at the third area – to train students for the entrepreneurial ecosystem, particularly the Greater Bay Area. The project utilizes interactive learning methods from business interviews of guest speakers to case discussions, including direct communication with industry professionals, for first-hand knowledge and perspectives to deepen students’ understanding of innovation and business strategies. The curriculum is further enhanced through tailor-made videos featuring interviews with senior management, offering practical insights into strategies and operations. This project establishes a hub of applied studies covering a spectrum of industries, to serve as a valuable resource for larger innovation community audience. The core in this pedagogical methodology is to bring industry into the classroom, and vice versa. Online and offline activities foster community building and knowledge exchange within the innovation ecosystem, while students’ reflection encourages them to apply their learning in the GBA.
Theme: 2. Thematic Exploration
Sub-theme: Community Engaged Learning & Community of Practice (CoP)
Oral Presentation Time: 1400-1500
Venue: Fanling Room, Lower Level I
Presenter(s)
– Dr Theresa KWONG, Director, Centre for Holistic Teaching and Learning, Hong Kong Baptist University
Abstract
HKBU leads two UGC-funded projects to enhance digital citizenship education and promote digital ethics. The first project, “Enhancing Learning and Teaching of Digital Citizenship through Scenario-based AR Learning Trails”, pioneers innovative approaches, developing scenario-based AR learning trails to engage students as active partners in digital citizenship. With six university partners, the project team created a revised Digital Citizenship Framework and over 85 scenarios, implemented in the “AR-Trails” app. Initial findings from 2,045 students on a learning trail reveal a strong digital citizenship foundation. These insights led to the second initiative, the “Digital Ethics and Responsibilities (DEAR) Campaign”, which empowers stakeholders to make informed, responsible decisions in the digital world. The DEAR project leverages the Digital Citizenship project, creating a DEAR Hub, organizing digital ethics events, designing a micro-credential program, and curating educational content. Since January 2024, DEAR has made significant progress, including securing research ethics approval, developing an introductory micro-credential, and recording podcasts. The DEAR Hub is being established as a comprehensive digital ethics resource. These interlinked projects provide educators with professional development opportunities and resources. The presentation offers an overview of their progression and advancements, providing insights into digital citizenship education and promoting ethical, responsible digital practices.
Theme: 1. Showcase Project Achievements
Sub-theme: Innovative Technology-in-Education
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
Oral Presentation Time: 1600-1700
Venue: Rose Room, Lower Level II
Presenter(s)
– Dr Janet CHAN, Senior Lecturer, School of Biological Sciences, The University of Hong Kong
Abstract
Fifty undergraduate (UG) students from various faculties at HKU have been trained as Climate Ambassadors through the project titled “Partnering with Students in Climate Education: HKU Climate Ambassador.” This climate education initiative is supported by the HKU Teaching Development Grant and aims to empower UG students to co-create climate actions and make a meaningful impact on broader communities. The project commenced in February 2024. To enhance students’ understanding of climate issues and involve them as partners, ten postgraduates and alumni have been appointed as mentors. They provide engaging dialogues and guidance to the UG students in their climate action endeavors. Additionally, students receive training through team-building activities, field trips, and seminars conducted by climate experts. Subsequently, students form groups and develop their own climate actions, such as addressing food waste, promoting biodiversity, and exploring public attitudes towards waste recycling. These actions will be showcased in a student-led conference scheduled for mid-June 2024. Following the conference, 18 selected Climate Ambassadors will participate in a desert service-learning trip in mainland China in July 2024, supported by YMCA and the Teaching Development and Language Enhancement Grant 2022-25. During the seven-day stay in Tengger Desert, these 18 HKU Climate Ambassadors will play a crucial role as co-developers of the camp. They will be empowered to educate camp participants and local communities about climate change and waste reduction. Collaborating with camp participants, they will carry out climate-related services, engage in personal reflection, and create meaningful impact within their own circles and the wider community. These experiences will help our Climate Ambassadors develop essential soft skills, including problem-solving, communication, leadership, and teamwork. Moreover, this experiential learning opportunity will incorporate international, intercultural, and global dimensions, enabling our HKU students to cultivate a global outlook, global citizenship, cultural inclusiveness, and intercultural competence – all highly valued by employers in today’s workplace.
Theme: 2. Thematic Exploration