Designing an AI-Powered Immersive Learning and Gamified Metaverse for Future-Ready STEAM Education
This work aims to develop an AI-driven, multiplayer collaborative Metaverse platform designed to transform STEAM education, with a core focus on Physics, Chemistry, and Mathematics. The platform will foster an interactive, inquiry-driven learning environment by integrating Generative AI-driven behavioral analytics tools, AI mechanisms for detecting unusual patterns, digital metahumans, real-life assessment scenarios, and personalized learning paths. Unlike traditional classrooms, which rely on passive learning and standardized assessments, this Metaverse-based system will promote experiential learning, game-based challenges, and immersive simulations, enabling students to explore complex scientific concepts dynamically and engagingly.
Project Start Year: 2025, Principal Investigator(s): SINGH, Manpreet
SDGs Information: 4 - Quality Education, 10 - Reduced Inequality, 11 - Sustainable Cities and Communities
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The Development of High Immersion Smart AI-assisted Virtual Gaming Metaverse Environments for STEAM Education
The project aims to develop an AI-driven, multiplayer collaborative Metaverse platform designed to transform STEAM education, with a core focus on Physics, Chemistry, and Mathematics. The developed platform will foster an interactive, inquiry-driven learning environment by integrating Generative AI-driven behavioral analytics tools, AI mechanisms for detecting unusual patterns, digital metahumans, real-life assessment scenarios, and personalized learning paths. The platform will feature authentic assessments, where students will apply their knowledge to real-world scientific problems, ensuring a more profound understanding beyond rote memorization. Students will engage in progressively challenging missions by incorporating embedded game quests, reinforcing their learning through hands-on problem-solving
Project Start Year: 2025, Principal Investigator(s): SINGH, Manpreet
SDGs Information: 4 - Quality Education
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Revitalizing Mathematical Proficiency using AIScaffoldiaMaths: Empowering Students in Low-Resource Families through AI-Powered Supports in Informal Learning Environments
The proposed project aims to empower underprivileged children from low-resource families by leveraging AI and emerging technologies to enhance their mathematics knowledge and skills, foster critical competencies for self-directed learning, and improve affective domains such as confidence and attitudes toward maths in and after-school hours. In collaboration with Durham University, the project will: (1) develop a mathematics learning platform, AIScaffoldiaMaths, incorporating adaptive learning materials facilitated by AI-powered scaffoldings (2) implement this platform across 6 primary schools, reaching 300-500 disadvantaged students from Primary 3 to 6, and extend its use in local welfare and childcare programs. The project will unfold in two consecutive stages: Development & Implementation and Expansion. The system will be designed and developed based on an existing web-based maths system developed by team, with expending the functionality of adaptive learning materials and scaffoldings enabled by Generative AI such as Large Language Models for curriculum generation and optimization, video and audio content generation, and personalised AI avatar tutorial. Usability tests and experimental design will the system will be conducted to evaluate the system performance. Expected benefits include: (1) improved foundational mathematics education outcomes of primary school students; (2) the creation of an AI learning tool for maths education with a variety of resources and support mechanisms that enhance mathematics proficiency, scalable and sustainable over time; (3) a locally-developed AI innovation tailored to the specific needs of students and schools in Hong Kong; (4) a practical solution for bridging educational divides and fostering equity;(5) the establishment of sustainable collaborations with international experts in computer science and AI in education; and (6) enhanced understanding among university students of how design and develop AI tools facilitating personalized learning.
Project Start Year: 2025, Principal Investigator(s): SUN, Daner (SINGH, Manpreet as Co-Investigator)
SDGs Information: 4 - Quality Education
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Provision of Services for the Pilot Scheme on Introducing Mathematical Modelling to the Primary Mathematics Curriculum
The project provides the services for the Pilot Scheme on Introducing Mathematical Modelling to the Primary Mathematics Curriculum from Feb 2024 to Dec 2025.
Project Start Year: 2024, Principal Investigator(s): YUEN, Man Wai (SINGH, Manpreet as Collaborator)
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Provision of Services for the "Enhanced Programme on Promoting Mathematical Modelling for Teachers and Students in Secondary Schools"
For the promotion of STEAM Education, the Curriculum Development Institute of the Education Bureau commissioned the Education University of Hong Kong to organize the said courses, which aims at enriching teacher’s and student’s knowledge and skills in understanding mathematical modelling and its applications in 2024.
Project Start Year: 2024, Principal Investigator(s): YUEN, Man Wai (SINGH, Manpreet as Collaborator)
SDGs Information: 4 - Quality Education
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Provision of Service for the "Development and Delivery of 18-hour Enrichment Courses for Teachers on Mathematical Modelling in Secondary Schools"
This project is to provide the service for the development and delivery of 18-hour enrichment courses for teachers on mathematical modelling in Hong Kong secondary schools in 2023-24.
Project Start Year: 2023, Principal Investigator(s): YUEN, Man Wai (SINGH, Manpreet as Collaborator)
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Developing Learning and Teaching Resource Packages for Conducting Mathematical Modelling through Inquiry and Investigation
Project Objective: To develop three sets of learning and teaching resource packages for conducting mathematical modelling.
Project Start Year: 2023, Principal Investigator(s): LO, Chung Kwan (SINGH, Manpreet as Co-Investigator)
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