Poster Presentation Time: 1225-1400; 1500-1600

Venue: K2, Tai Po-Shek-O Room, Lower Level I

Presenter(s)

– Dr Sean MCMINN, Director, Center for Education Innovation, The Hong Kong University of Science and Technology

Abstract

This project aims to develop a Co-Instructrional Designer platform to assist instructors in creating course materials. By leveraging Generative AI, the platform will support faculty members in designing course outlines, content, learning activities, assignments, and rubrics aligned with learning outcomes. The platform will connect to a Center for Education Innovation (CEI)-managed knowledge base containing curated pedagogies and best practices. Instructors will interact with the platform through pre-defined prompts, receiving tailored guidance that they can evaluate and adapt to meet their specific course needs. Key features of the platform include front-end interfaces for instructors and system administrators, robust technical architecture for file storage, and conversation history management. Having completed the Proof-of-Concept phase, implementation will proceed with structuring the knowledge base, developing the frontend, integrating the system, and conducting testing, with the final rollout planned for Fall 2025/26. The project will benefit approximately 750 faculty members and teaching staff at HKUST. This tool has multiple applications: it can serve as a co-designer for faculty, support quality assurance, assist with faculty development, and aid in Teaching and Learning Innovation Pedagogy and Blended Learning Projects. Success will be measured by the quality of responses in testing scenarios, training participation and satisfaction, and overall platform usage.

Theme: 1. Showcase Project Achievements

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

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: 1500-1600; 1700-1800

Venue: B1, Tai Po-Shek-O Room, Lower Level I

Presenter(s)

– Miss Eunice Yuen Man CHAU, Senior Research Assistant, Department of Geography, Asian Energy Studies Centre, Hong Kong Baptist University

– Mr Andy Wei Hei SIU, Senior Research Assistant, MPhil student, Department of Geography, Asian Energy Studies Centre, Hong Kong Baptist University

Abstract

In this digital era, the learning model of higher education students has been reshaping due to emerging social structures and technological forces in a smart society, alongside the COVID-19 pandemic. Previous research has shown that there are several barriers to the implementation of research-based learning and teaching (RBLT) from the perspective of both students and teachers that are insufficient to cope with the changes in the present, and community-based learning that utilises the community as living laboratories seems to be a feasible solution. This research aims to develop a novel model of RBLT, adopting a train-the-trainer approach for over 70 student interns across local universities, and establishing a five-tiered organisational structure to comprehensively evaluate their positive changes in all sub-themes in Cognitive (knowledge-based), Psychomotor (action-based), and Affective (emotion-based) domains. Research data were collected from more than 70 events supported by trained student interns serving over 2,000 participants in our four research communities and partner schools. The research indicated that the impact of the model of community-based RBLT went beyond enhanced teaching and learning effectiveness for students and teachers. The combination of online and physical learning experiences also created synergies between learning and teaching.

Theme: 2. Thematic Exploration

Sub-theme: 2.1 Community of Practice (CoP)

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)

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)

Poster Presentation Time: 1500-1600; 1700-1800

Venue: E1, Tai Po-Shek-O Room, Lower Level I

Presenter(s)

– Dr Bess Yue WANG, Senior Lecturer, Department of Journalism, School of Communication, Hong Kong Baptist University

– Dr Angela Dan WANG, Research Assistant Professor, Department of Journalism, School of Communication, Hong Kong Baptist University

Abstract

The proposed course equips students with cutting-edge skills in AI and cloud-based solutions to address real-world media management challenges faced by NGOs. Through a dynamic, experiential learning approach, students will become digitally competent, industry-ready, and socially responsible professionals. Partnering with the Institute of Endurance Science and Technology (IEST) and Huawei, the course offers a unique opportunity to bridge the gap between technological expertise and social impact. Students will gain hands-on experience by developing cloud-based solutions for IEST’s data management, publicity, and digital governance needs. The curriculum emphasizes: 1. Understanding NGO media challenges and translating them into practical cloud-based solutions. 2. Utilizing Huawei’s cloud infrastructure and receiving expert training from their engineers. 3. Developing a comprehensive cloud solution proposal addressing a real-world problem faced by IEST. Student competency will be assessed through a Huawei Cloud Practitioner certification exam and a final project proposal evaluated by industry experts and IEST. This ensures the learning experience is not only relevant but also potentially impactful, with successful proposals considered for adoption by IEST. This course exemplifies the power of technology in driving positive social change while providing students with invaluable skills for the future.

Theme: 2. Thematic Exploration

Sub-theme: 2.3  Community Engaged Learning