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: 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

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: 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

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: 1600-1700

Venue: Camomile Room, Lower Level II

Presenter(s)

– Dr Cissy LI, Head, Language Centre, Hong Kong Baptist University

Abstract

Based on the UN’s 2030 Framework, global citizenship education (GCE) aims to develop learners’ knowledge, skills, attitudes, and values necessary to become active and responsible global citizens (Reimers et al., 2016). In order to become a successful global citizen, learners need to be aware of the interconnectedness of the world, respectful of diversity, reflective of personal and others’ behaviors and their impact, and committed to sustainability. More importantly, they need to be willing to take action to make changes for a better world. This presentation will report on the implementation and outcomes of part of the project Nurturing Global Citizenship through English (NGCE) using Kolb’s experiential learning framework. GCE guided learning in the ESL classroom was complemented with abundant GCE opportunities outside the classroom, including global dialogues, field trips and poster-exhibitions. Findings from questionnaire surveys and focus group interviews indicate that students had a heightened awareness of global citizenship and perceived improvements in cognitive, socio-emotional and behavioral competencies, which are the three core domains in GCE identified by UNESCO (2015). The positive outcomes highlight the benefits of integrating GCE into the English language curriculum and fostering diversity, inclusion, and international learning.

Theme: 2. Thematic Exploration

Sub-theme: Diversity and Inclusion 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

Venue: Peony Room, Lower Level II

Presenter(s)

– Ms Nancy TING, Senior Lecturer, Early Childhood Education, Yew Chung College of Early Childhood Education

– Ms Mary Ann HOOD, Senior Lecturer, Early Childhood Education, Yew Chung College of Early Childhood Education

Abstract

The transition from kindergarten to primary school is an important time for children and parents. In addition, starting primary school is a significant milestone for children as the teaching and learning experiences, curriculum and classroom environment are markedly different to the kindergarten. For example, there are new rules and expectations to get used to. Coping well and adjusting to the changes is important and a successful start to primary school is associated with future learning success in school. The overall Kindergarten to Primary (K2P) project objective is to overcome stress brought by the K2P transition; provide a solid foundation for primary school stage and promote child readiness for school and school readiness for child and family. The project has four objectives that focus inter alia on the students, their parents, and in-service and pre-service teachers. This presentation will focus on objective 1 which is to equip students with a positive mindset and readiness for the new learning environment using a multi-step approach. This approach includes implementing lesson plans and home activities to develop and support children’s acquisition of 7 specific skillsets, namely Cognitive skills, Independent thinking, Collaborative learning, Empathetic thinking, Social-emotional skills/understanding challenges, Communication skills and Authority in learning.

Theme: 2. Thematic Exploration

Sub-theme: Whole-person Development & Diversity and Inclusion Education

Oral Presentation Time: 1400-1500

Venue: Peony Room, Lower Level II

Presenter(s)

– Ms Anna Wai Yee YUEN, Lecturer / Person-in-charge, Virtual Exchange Centre, School of Continuing Education, Hong Kong Baptist University

Abstract

Funded by the Quality Enhancement Support Scheme (QESS), the “Virtual Exchange for Authentic Teaching and Learning Innovation” project aims to establish partnerships with international tertiary institutions, equip teaching staff with Virtual Exchange (VE) skills, and promote VE as an innovative teaching pedagogy. The Virtual Exchange Centre (VEC) was established at the School of Continuing Education (SCE) in September 2022 to facilitate VE opportunities with our global partners. This presentation highlights SCE’s internationalisation efforts in VE, featuring successful course-embedded exchanges and extracurricular activities with institutions worldwide. Partnerships have been established with institutions from the U.S., U.K., Canada, Sweden, Australia, Japan, and Malaysia, with ongoing exploration of VE collaborations with potential partners from Mexico, Germany, Spain, Thailand, and India. Supported by quantitative and qualitative data, the presentation showcases the positive impact of internationalisation in VE on teaching and learning experiences. Engaging videos and compelling stories from SCE’s VE programs will be shared. In summary, the project exemplifies SCE’s commitment to enhancing education through global connection and collaboration through VE. It showcases the establishment of global partnerships, the development of VE programs, and the positive outcomes of internationalisation efforts. The presentation aims to inspire and inform the audience about the growing trend and transformative potential of VE in higher education.

Theme: 1. Showcase Project Achievements

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