Oral Presentation Time: 1600-1700

Venue: Fanling Room, Lower Level I

Presenter(s)

– Dr Esther TONG, Principal Lecturer, Division Head, Divisions of Language and Communications, College of Professional Continuing Education, The Hong Kong Polytechnic University

– Professor Roger CHAN, Division Head, Divisions of Social Sciences, Humanities and Design, College of Professional Continuing Education, The Hong Kong Polytechnic University

Abstract

Effective Content and Language Integrated Learning (CLIL) praxis relies on the sustained efforts of members of the interdisciplinary community of practice in fostering shared aspirations in pedagogical improvement, developing awareness of a content-language link, sharing resources and practices, and co-constructing understanding of disciplinarity. Responding to the need to align higher education assessments with the real-world communication and professional requirements, faculty members across the College are summoned to redesign the assessments of language and disciplinary practices. While previous studies on integrated assessment of language and disciplinary content focus on the validity, reliability and teacher belief-practice dichotomy (Attar et. al, 2022; Lo & Leung, 2022; Otto, 2018), this paper explores the essence of successful Professional Communities of Practice (PCoP). Sustainable practices and challenges associated with co-designing integrated content and language assessments in business and social sciences disciplines will be explored. It positions CLIL assessment as a collaborative provision. The first part details the associated practices of a collaborative model in an adjunct English-across-the-curriculum project. The second part highlights the impactful dialogues within a social enterprise business idea pitching competition organised to foster interdisciplinary collaboration in a professional learning community. Recommendations for optimising collaboration and maximising the participatory impact of interdisciplinary communities of practice in higher education contexts will be shared.

Theme: 2. Thematic Exploration

Sub-theme: Community of Practice (CoP)

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