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A Generative-AI Platform for Subject Specific Intelligent Tutoring Systems

Oral Presentation Time: 1400-1500
Venue: Fanling Room, Lower Level I
Presenter(s)

– Dr Richard Wing Cheung LUI, Senior Lecturer, Department of Computing, The Hong Kong Polytechnic University

Abstract

This presentation introduces the design and implementation of GPTutor, a Generative AI (GenAI) powered Intelligent Tutoring System (ITS) developed at the Hong Kong Polytechnic University (PolyU). GPTutor aims to enhance student learning experiences through personalised tutoring and interactive exploration. It helps students gain a deeper understanding of the course materials provided by their instructors. During the first phase of our implementation, we developed features for instructors to upload and manage their course content and to create learning scenarios based on the learning content. The system includes a conversational interface for students to ask questions and explore course content to deepen their understanding. As the answers are generated based on the instructor-uploaded content, GPTutor provides more factual responses, reduces hallucinations, and aligns better with the instructors’ intended learning outcomes (ILO). We will also share findings from our pilot study, which involved approximately 200 undergraduate and postgraduate students at PolyU. Finally, we will discuss our future plans for further development and enhancement of the platform.

Theme: 1. Showcase Project Achievements

Sub-theme: Innovative Technology-in-Education

Development and Formation of Structured Whole Person Development Programme in the Self-Financing Post-secondary Institutions

Oral Presentation Time: 1600-1700
Venue: Peony Room, Lower Level II
Presenters(s)

– Dr Joseph Yui-yip LAU, Interim Head of Student Affairs and Senior Lecturer, Division of Business and Hospitality Management, College of Professional and Continuing Education, The Hong Kong Polytechnic University

Abstract

A large number of students enrolled in sub-degree programmes and self-financing degree programmes in self-financing post-secondary institutions each year. As such, self-financing post-secondary institutions perform a significant role in the higher education sector in Hong Kong. To the best of the author’s knowledge, most of the students are eager to achieve whole-person development to equip themselves before graduation. In other words, they strive toward becoming a preferred graduate to establish a career path or articulate to the ‘desirable’ universities for further study. This study illustrates the Student Affairs Office to address the key challenges of developing whole person development programme, deliver successful cases of the formation of a structured whole-person development programme, and point out the roadmap to the future whole-person development programme in the forthcoming years. As expected, the study may provide valuable insights to policymakers, educators, higher education institutions, and researchers to develop a future research agenda and policy.

Theme: 2. Thematic Exploration

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

Gamification for Self-Regulation: Exploring the Impact of Personalized Performance Feedback in Massive Open Online Courses

Oral Presentation Time: 1400-1500
Venue: Camomile Room, Lower Level II
Team member(s)

– Professor Alvin Chung Man LEUNG, Associate Head & Associate Professor, Department of Information Systems, City University of Hong Kong

Abstract

The COVID-19 pandemic has highlighted the critical importance of online learning, where learners must engage in self-regulated learning (SRL) to achieve optimal outcomes. Gamification interventions have been implemented to improve SRL engagement in online environments, but the mixed results of these efforts have raised doubts about their efficacy. This study investigates whether the inconsistent findings can be attributed to a lack of consideration for individual learner characteristics during gamification design. Focusing on Massive Open Online Courses (MOOCs), we examined how gamified performance feedback interacted with learners’ goal orientation, an individual trait known to influence SRL and learning. By tracking the SRL engagement of 760 college students over five weeks using learning analytics, we found that positively framed performance feedback without social comparisons increased SRL engagement and learning outcomes for participants with a strong performance-avoidance goal orientation. Conversely, the same feedback had a negative impact on participants with a strong mastery goal orientation. These findings contribute to SRL theory by demonstrating that the effectiveness of gamification in online learning is contingent on aligning the design elements with individual learner characteristics and highlight the importance of personalized gamification approaches to optimize SRL and learning in MOOC.

Theme: 1. Showcase Project Achievements

Sub-theme: Teaching Development and Language Enhancement