Poster Presentation Time: 1225-1400; 1500-1600

Venue: I1, Tai Po-Shek-O Room, Lower Level I

Presenter(s)

– Dr Selena YAN, Senior E-learning Assistant, Li Ka Shing Faculty of Medicine, The University of Hong Kong

– Ms Leah LI, Senior E-learning Assistant, School of Clinical Medicine, The University of Hong Kong

Abstract

Generative Artificial Intelligence (GenAI) is a transformative technology that fosters creativity, problem-solving, and critical thinking skills in various industries, including healthcare and medical education. At HKU Medicine, we appreciate the importance of advancing GenAI literacy and propose to develop and deliver a new online course that covers the latest advances, pitfalls, ethical and professional aspects of GenAI. We aim to advance AI and digital competency for all students, professoriates and clinicians at HKU Medicine and the Hong Kong medical community. To evaluate the effectiveness of this online GenAI literacy course, an assessment study will be conducted. We will use a mixed methods approach to collect both quantitative and qualitative data through pre- and post- surveys, individual interviews and practical exercises. The survey will be adapted from the “Scale for the Assessment of Non-Experts’ AI Literacy” (SNAIL), while the interviews will provide additional context and insights into participants’ experiences and challenges with GenAI. Practical exercises will provide objective data for evaluation. Target participants will be recruited through convenience sampling, and data analysis will include both statistical and thematic analyses. The study has already obtained ethical approval. Results from this study will be used to identify improvement needs for the online course and inform the integration of GenAI in medical and health sciences education and clinical practices. Overall, the project will contribute to the advancement of GenAI literacy in medical education and healthcare professions, supporting the ethical and effective application of GenAI technology in these fields.

Theme: 1: Showcase Project Achievements

Sub-theme: 1.2  Fund for Innovative Technology-in-Education (FITE)

Poster Presentation Time: 1500-1600; 1700-1800

Venue: D4, Tai Po-Shek-O Room, Lower Level I

Presenter(s)

– Dr William Man Yin CHEUNG, Senior Education Development Officer, Talent and Education Development Office, City University of Hong Kong

– Ms Ka Yan SO, Educational Development Officer, Talent and Education Development Office, City University of Hong Kong

Abstract

In the recent era of rapid development and ubiquitous application of artificial intelligence (AI), it has become crucial for all students to be AI-literate irrespective of their academic background. This poster shares the pilot run of the “AI for All” initiative at CityUHK, which introduced the basic principles, development, and recent applications of AI to the participating students. Students analysed how AI has been utilised by various organisations/platforms and demonstrated improved AI literacy after the initiative.

Theme: 2. Thematic Exploration

Sub-theme: 2.2 Diversity and Inclusion Education

Poster Presentation Time: 1500-1600; 1700-1800

Venue: D1, Tai Po-Shek-O Room, Lower Level I

Presenter(s)

– Dr William Man Yin CHEUNG, Senior Education Development Officer, Talent and Education Development Office, City University of Hong Kong

Abstract

The recent advent of generative artificial intelligence (AI) has demanded prompt actions for supporting educators to review and possibly revamp their courses accordingly. This poster shares the experience of CityUHK for administering a programme of online modules, seminars and funding availability to empower academic staff in incorporating AI into the curriculum. In response to the positive feedback received, the programme was implemented for a second time with updates and enhancement.

Theme: 2. Thematic Exploration

Sub-theme: 2.2 Diversity and Inclusion Education

Poster Presentation Time: 1500-1600; 1700-1800

Venue: B4, Tai Po-Shek-O Room, Lower Level I

Presenter(s)

– Mr Frankie Tsz Ki FAN, Executive Officer, Talent and Education Development Office, City University of Hong Kong

Abstract

CityUHK launched the CityU Tiger Programme for nurturing the talents of tomorrow and transforming students into future global leaders. The Programme targets both newly-admitted undergraduate students with outstanding academic performance as well as high-achieving first-year students and have approximately 1,000 members in 2023/24. With constant guidance and support from faculty members, the Programme organised various tailored activities for these elite students, allowing them to navigate the challenges of the fast-changing world, cultivate their talents in their respective fields of study, contribute to their communities, and ultimately emerge as future leaders and change-makers.

Theme: 2. Thematic Exploration

Sub-theme: 2.4  Whole-Person Development

Poster Presentation Time: 1500-1600; 1700-1800

Venue: B2, Tai Po-Shek-O Room, Lower Level I

Presenter(s)

– Mr Iain KILLOUGHERY, Lecturer, Sport, Physical Education and Health, Hong Kong Baptist University

Abstract

Graduate attributes (GAs), formally adopted by higher education institutions for some time, describe the skills and competences that students should develop over the course of their studies. GAs are considered important to universities as they act as a means to represent and extend their brand, while also providing a channel to maintain connection with industry. However, despite regular engagement with industry, employers remain unsatisfied with graduate transferable skills. This may be caused by a lack of a common theoretical underpinning to develop such attributes. Therefore, the aim of this study was to provide an evidence-based methodology which develops transferable skills in university graduates. Two classes were used in this study; one class received a 12-week intervention incorporating a variety of coaching activities. The second class acted as a control group. Students completed pre-intervention surveys providing self-reports of ratings in GAs and resourcefulness behaviours. Post-intervention, students again complete surveys reporting self-ratings on the same topics. Survey data was analysed to identify changes in student scores, which highlighted improvements in all graduate attribute ratings post-intervention. Furthermore, help-seeking behaviours were shown to have significant improvement post-intervention. This study suggests that coaching practices may provide an effective method to develop transferable skills in students.

Theme: 2. Thematic Exploration

Sub-theme: 2.4  Whole-Person Development

Poster Presentation Time: 1225-1400; 1500-1600

Venue: J2, Tai Po-Shek-O Room, Lower Level I

Presenter(s)

– Dr Benjamin MOORHOUSE, Assistant Professor, Department of Education Studies, Hong Kong Baptist University

Abstract

The public release of ChatGPT sent shock waves through the education community. Since then, many generative AI (GenAI) tools that perform various human tasks have been launched. It is essential that higher education institutions are at the forefront of preparing graduates for the productive and responsible use of these tools. To make this a reality, instructors, as models of practice, must have the skills and knowledge to use GenAI tools. They need to understand how AI works (technological proficiency); they need to consider the ethical issues of the tools (critical and ethical awareness); they need the pedagogical awareness of how and when to use them (pedagogical capability); and they need prepare their students to use them. These skills can be considered ‘Professional Generative AI competence’ (P-GenAI-C). The Inter-institutional Collaborative Activities for Fund for Innovative Technology-in Education project presented in this poster aims to: (1) Identify the P-GenAI-C in different university subject disciplines; (2) Contextualize the P-GenAI-C within each universities’ policies and guidelines; (3) Develop training and continuous support for university instructors, and (4) Develop a developmental framework and reflective tool for evaluating P-GenAI-C. The first aim and discussion of the actualization of the remaining aims are presented.

Theme: 1. Showcase Project Achievements

Sub-theme: 1.2  Fund for Innovative Technology-in-Education (FITE)

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

Poster Presentation Time: 1220-1400; 1500-1600

Venue: J3, Tai Po-Shek-O Room, Lower Level I

Presenter(s)

– Mr Ryan MAN, Associate Dean (Undergraduate Studies), School of Business, Hong Kong Baptist University

Abstract

The Fund for Innovative Technology-in-Education (FITE) has catalyzed a transformative initiative within our School to future-proof business education. Our approach is three-pronged, with a focus on curriculum development, personalized e-learning, and pedagogical innovation. In anticipation of the 2024/25 academic year, a dedicated programme review team has been tasked with integrating AI across the BBA curriculum, introducing new core courses such as Business Coding, AI for Business, and AI Ethics and Governance. This integration extends to embedding AI applications into functional areas like marketing human resources management and finance. Besides, we have instituted a personalized e-learning graduation requirement, leveraging Industries 4.0 principles of IoT and AI in MOOCs, particularly LinkedIn Learning, to enhance engagement and digital literacy. Our metrics indicate promising uptake and substantial engagement in technology courses, underscoring the relevance of data analytics and AI in contemporary education. Supporting our pedagogical shift, the FITE-backed Fostering AI-Incorporated Learning team is pioneering AI and blended learning integration to elevate teaching quality. Our experimental initiatives range from incorporating Generative AI into Business Analytics education and piloting AI in HR teaching. These efforts signify our commitment to driving pedagogical transformation and curriculum innovation, preparing students for the evolving demands of the digital economy.

Theme: 1. Showcase Project Achievements

Sub-theme: 1.2  Fund for Innovative Technology-in-Education (FITE)

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