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

Oral Presentation Time: 1400-1500

Venue: Peony Room, Lower Level II

Presenter(s)

– Dr Angela LI, Associate Professor, Division of Science, School of Medical and Health Sciences, Tung Wah College

– Dr Monica CHOW, Project Manager, Division of Science, School of Medical and Health Sciences, Tung Wah College

Abstract

Aiming to enhance the job-readiness of our students, an electronic teaching and learning kit for job-ready skill training (e-JR kit) is developed. This e-JR kit consists of three teaching modules that cover the topics of core skills needed for a paraprofessional job as a clinical assistant, including Module 1 Communication skills in the workplace, Module 2 safety and ethical issues in the workplace and Module 3 professional skills in the workplace. The regular industry involvement is a key feature of this e-JR kit project. Different industry stakeholders are continuously consulted, help with the design of real workplace scenarios, and give feedback on the effectiveness of the training. To accommodate the learning preferences of the current generation of students, the content of this e-JR kit is presented in bite-sized topics, such as case scenarios, short videos and small quizzes, and the design is highly visual and interactive. This well-designed kit will help students integrate their skills before employment, and to equip them with skills for a range of possible scenarios in the workplace. To promote the use of the e-JR kit, the completed kit will be shared with other local institutions and our industry partners in the pre-job training of their students and new staff.

Theme: 1: Showcase Project Achievements

Sub-theme: Quality Education Fund (QEF), and Quality Enhancement Support Scheme (QESS)

Oral Presentation Time: 1400-1500

Venue: Peony Room, Lower Level II

Presenter(s)

– Ms Carrie Ka Yee CHENG, Head of Academic Programmes (Full-time), School of Continuing and Professional Studies, The Chinese University of Hong Kong

Abstract

Encompassing 20 Virtual Reality (VR) simulations across 15 academic disciplines for pre-internship training, InternVision – a dual platform of a VR head-mounted display system and a mobile application (app), is developed and launched for enhancing the work-readiness of all full-time students at School of Continuing and Professional Studies, The Chinese University of Hong Kong (CUSCS). InternVision envisages to be an ingenious and resourceful platform with interactive contents of real-life workplace scenarios for elevating job competency, enhancing professional related concepts, reactions and decision making at internships, and thus formulating an insightful immersive experience for empowering learners to a multitude of careers. This oral presentation endeavours to share ideas and success factors on how InternVision is designed, constituted and operated in line with our expected high effectiveness and promising satisfaction. Via seamlessly integrating technologies at the VR system and appending with its user-friendly mobile app, InternVision brings forth greater flexibility, confidence and motivation for students to gear up for their internships and maneuver their learning more freely beyond time and location constraints. By visualising the simulations, a deeper understanding of their roles regarding their own profession can be yielded for further self-reflection, and hence achieving the intended learning outcomes. InternVision can be framed as a comprehensive and impactful solution for enhancing internship preparation and consolidating student success for a world of future profession.

Theme: 1. Showcase Project Achievements

Sub-theme: Quality Education Fund (QEF), and Quality Enhancement Support Scheme (QESS)

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: Camomile Room, Lower Level II

Presenter(s)

– Dr Chloe Pui Yee SIU, Senior Lecturer, School of Graduate Studies and Institute of Policy Studies, Lingnan University

Abstract

Gerontechnology is a multidisciplinary field combining gerontology and technology, it comes matching technological environments to various facets of an ageing population. With the development of technologies, the HKSAR Government and different enterprises develop innovative products to cater for the needs of older adults and caregivers. It is arguably essential to develop opportunities and capabilities by creating a gerontechnology ecosystem with innovation to enable different stakeholders to effectively participate in gerontechnology and help Hong Kong society to overcome challenges related to population ageing. Since 2019, Lingnan University has been at the forefront of promoting gerontechnology through its “Gerontechnology and Smart Ageing in Place Project.” The project’s primary goal is to advocate for the use of gerontechnology in facilitating smart ageing and to support the development of social entrepreneurship in this field. Furthermore, it functions as an educational platform, offering training courses and workshops on various aspects of gerontechnology, including healthcare, dining, living, transport, exercising, and learning. An essential component of LU’s approach is its emphasis on the value co-creation process, as outlined by Kijima et al. (2014). This model comprises four phases: co-experience, co-definition, co-elevation, and co-development. It provides a framework for understanding how value is generated, exchanged, and transformed through the collaboration of diverse stakeholders. This process is crucial for fostering innovation and ultimately leading to sustainable solutions for smart ageing.

Theme: 2. Thematic Exploration

Sub-theme: Diversity and Inclusion Education