Poster Presentation Time: 1225-1400; 1500-1600

Venue: H2, Tai Po-Shek-O Room, Lower Level I

Presenter(s)

– Dr Pauli LAI, Lecturer, Department of Electrical and Electronic Engineering, The Hong Kong Polytechnic University

– Dr Julia CHEN, Director, Educational Development Centre, The Hong Kong Polytechnic University

Abstract

A common assessment in university is the oral presentation, and students are often required to deliver presentations in English. Two challenges arise. First, many students mainly focus on the discipline content in the assessment preparation process rather than the communication or use of English in their presentations. Second, lecturers of large classes (e.g. around 200 engineering students in one course) hardly have time to give feedback to each student on the English communication aspect of their oral presentations. A baseline survey reveals students’ need for assistance with presentation skills and a hope for having AI-generated feedback among both students and discipline teachers. To address these needs and hope, a team of educators from PolyU and BU with expertise in language and AI technology collaboratively developed an online English oral presentation platform called SmartPresenter. SmartPresenter provides students with presentation tips, learning materials, and extensive AI-generated feedback on the communication-related aspects of delivering oral presentations in English, including eye contact, facial expressions, vocal fillers, pronunciation, and fluency. This presentation describes the development and features of SmartPresenter, and the evaluation results of the effectiveness of the platform in facilitating independent learning practices for English oral presentations and assisting teachers in grading presentation assessment.

Theme: 1: Showcase Project Achievements

Sub-theme: 1.3  Special UGC Grant for Strategic Development of Virtual Teaching and Learning (VTL)

Poster Presentation Time: 1225-1400; 1500-1600

Venue: G4, Tai Po-Shek-O Room, Lower Level I

Presenter(s)

– Dr Hung-lin CHI, Associate Professor, Department of Building and Real Estate, The Hong Kong Polytechnic University

– Ms Junyu CHEN, Ph.D Student, Department of Building and Real Estate, The Hong Kong Polytechnic University

– Mr Haolei LIN, Ph.D Student, Department of Building and Real Estate, The Hong Kong Polytechnic University

Abstract

KnowLearn is an interactive learning assistant system designed for architecture, engineering, and construction (AEC) education, where personalized recommendations for students in virtual learning environments remain under-explored. An educational knowledge graph (KG) was constructed to contain multifaceted information by connecting pedagogical, learning performance, and learning feedback data as sub-graphs. A heterogeneous graph attention network (HAN) was implemented to infer latent information in the educational KG and identified essential factors shaping students’ acceptance of virtual learning environments. Based on sampling data of 107 students from the Hong Kong Polytechnic University, Department of Building and Real Estate, we found students’ self-efficacy, intention to use, and in-class quiz performance were significant predictors of final learning outcomes in subjects that adopt virtual learning environments. This project further deployed a local-based large language model (LLM) Qwen-7B and built an interactive graphical user interface (GUI) with Gradio. Utilizing the information preserved in the educational KG and learned from HAN as the basis, this LLM facilitated conversations between students and KnowLearn, enhancing personalized recommendations while securing student privacy. The developed system contributed to helping improve the learning experiences and performances of AEC students within virtual learning environments.

Theme: 1: Showcase Project Achievements

Sub-theme: 1.1  Teaching Development and Language Enhancement Grant (TDLEG)

Poster Presentation Time: 1500-1600; 1700-1800

Venue: B3, Tai Po-Shek-O Room, Lower Level I

Presenter(s)

– Dr Xiang LI, Assistant Professor, Department of Applied Social Science, The Hong Kong Polytechnic

– Dr Xiaoqin ZHU, Assistant Professor, Department of Applied Social Science, The Hong Kong Polytechnic

– Dr Diya DOU, Assistant Professor, Department of Applied Social Science, The Hong Kong Polytechnic

Abstract

Higher education programs often focus on disciplinary knowledge and professional skills, with cognitive skills given top priority. As a timely response to limited education for wellbeing and non-cognitive skills development, PolyU’s Leadership and Intra-personal Development Team developed four subjects, including Tomorrow’s Leaders, Promotion of Children and Adolescent Development, Service Leadership, and Service Leadership through Serving Children and Families with Special Needs to nurture students’ leadership, improve their wellbeing, and promote their whole person development. These subjects aim to nurture students to become ethical leaders of tomorrow and responsible citizens by adopting a holistic youth development approach based on cutting-edge theories and research on late adolescence and emerging adulthood, leadership development, and service-learning. To date, over 27,000 students have taken the four subjects. Different evaluation methods involving multiple stakeholders over time have demonstrated positive and significant impact of the four subjects on students’ wellbeing and holistic development. Positive feedback from students and recognition from the higher education community have contributed to these subjects receiving numerous prestigious awards, both internationally and locally. These include the UGC Teaching Award 2018 and the Gold Award in the Nurturing Wellbeing & Purpose category at the Wharton-QS Stars Reimagine Education Awards 2021.

Theme: 2. Thematic Exploration

Sub-theme: 2.4  Whole-Person Development