People

Dr. Manpreet Singh is an experienced educator and researcher with a robust STEM background and extensive experience across various disciplines. He holds a Qualified Teacher Status in Hong Kong and has successfully taught physics, science, mathematics, and technology courses. Dr. Singh excels at creating interactive, engaging, and immersive learning environments by integrating educational technologies, particularly in the Metaverse.

With over a decade of teaching experience in Hong Kong's Education Bureau, he effectively employs interactive simulations, gamified learning, and self-directed approaches to enhance student engagement and deepen understanding. His reputation as a respected STEM educator stems from his ability to integrate innovative technologies into his teaching.

Dr. Singh's expertise in mathematics and physics enables him to adopt a well-rounded, interdisciplinary approach to STEM education. His research focuses on leveraging interactive simulations and gamification to transform traditional teaching methods in STEM fields. Currently, he is developing an interactive, game-based learning package tailored to the needs of multicultural and multilingual classrooms.

His dedication to delivering engaging and effective STEM instruction has earned him a reputation as a trailblazer in the field. Dr. Singh is teaching undergraduate and postgraduate courses focusing on STEM education. His unwavering commitment to excellence in teaching and his ability to inspire students have made him a beloved figure among his peers and learners. With his expertise in educational technology, metaverse applications, and virtual learning environments, Dr. Singh continues to push the boundaries of STEM education, paving the way for a future where technology and innovative pedagogy converge to empower the next generation of learners.

• Technology-oriented STEM education
• Interactive Simulations
• Virtual Learning Environments
• Game-based Learning
• Educational Technologies
• Game-based Learning
• AI in education

• Technologies in STEM and AI Education
• Technologies in STEM Education
• Learning and Teaching of Selected Topics in IT
• Trends and Development in Learning and Teaching of ICT
• IT-supported learning environments
• Data Mining and STEM Education
• Technologies for Mathematics Teaching: An Inquiry Approach
• Informal Learning of Digital Natives
• Consolidating Undergraduate Learning through University ePortfolio

• Guest Speaker at the Opening Reception of the Hong Kong Academy for Wealth Legacy (HKAWL) Summit (12.09.2024).
• Guest speaker at Global Math Elites Competition (GMEC) 2024 Final Award Ceremony. (21.08.2024)
• Guest Speaker at a joint workshop, "Adopting Authentic Assessment in Real/Virtual World" organized by The Education University of Hong and The Hong Kong Baptist University. (19.04.2024)
• Participation in a joint conference on AI and Education, "Leveraging AI for change in Education" organised by HKUST and EduHK (30.01.2024)
• Guest lecture on "Digital Learning and Technology in a Global Context: Metaverse and Mix Reality (MR) in Education" for the Master of Arts in Digital Learning and Technology students at C&I. Centre for Learning, Teaching and Technology LTTC (27.10.2023)
• Guest Speaker in "Data Science Workshop (Level II): Learning STEM in Metaverse" in collaboration with Hong Kong Academy for Gifted Education (HKAGE) (20.05.2023)
• Organised "Data Science Workshop (Level I): Unlocking data Secrets using Python" in collaboration with Hong Kong Academy for Gifted Education (HKAGE) (29.04.2023)
• Guest Speaker at Learning and Teaching Seminar "Transforming Mathematics and Physics Classrooms using Interactive Simulations" organized by the Department of MIT, EduHK (07.02.2023)
• Guest Speaker and media briefing on the effective use of interactive simulations to foster STEM skills 2022 Yidan Prize International Workshop organised by PhET Interactive Simulations and Yidan Prize Foundation (05.12.2022)
• Guest Speaker at Teacher's training workshop on "Learning and Teaching Strategies for the Secondary Mathematics Curriculum Series" organized by Mathematics Education Section, Education Bureau (EDB) Hong Kong (13.06.2022)
• Guest Speaker at Learning and Teaching Strategies in Promoting Non-Chinese-Speaking students' Learning in Mathematics organised by Mathematics Education Section, Education Bureau (EDB) Hong Kong (15.04.2021)

• Gamifying STEM education through Metaverse Classroom for creating an immersive learning experience (Sept 2023 - June 2024) (Principal Investigator)

• Developing Learning and Teaching Resource Packages for Conducting Mathematical Modelling through Inquiry and Investigation (Aug. 2023 - Oct. 2024) - (Co-Investigator)
• Provision of Service for the "Development and Delivery of 18-hour Enrichment Courses for Teachers on Mathematical Modelling in Secondary Schools (Sept 2023 - Sept 2024) - (Co-Investigator)
• Provision of Services for the "Enhanced Programme on Promoting Mathematical Modelling for Teachers and Students in Secondary Schools (January 2024 - Sept 2024) - (Co-Investigator)
• Provision of Services for the Pilot Scheme on Introducing Mathematical Modelling to the Primary Mathematics Curriculum (Feb 2024 - Dec. 2025) - (Co-Investigator)

• Singh M (2024, April). Interactive Learning in a Virtual World: The Metaverse Classroom Approach International Congress on Educational Futures 2024 (ICEF 2024), Hong Kong https://www.eduhk.hk/icef2024/
• Singh M (2023, November). Enhancing 21st Century Skills through Simulated Platforms in Virtual Classrooms: A Metaverse Approach e‐Learning Forum Asia 2023 (eLFA2023) (30 Nov ‐ 1 Dec), Singapore https://www.elfasia.org/2023/index.html
• Singh, M. (2023, July). Analyzing Atmospheric Radioactivity in the Contaminated Air during the Early Phase of the Chernobyl Nuclear Disaster at Selected Locations in Germany International Conference on Artificial Intelligence and Big Data Applications (AIBD 2023), Hong Kong. https://www.aibd2023.org
• Singh M & Sun D (2023, May). Designing and Implementing an Inquiry-based Virtual Interactive Learning Environment for Physics Curriculum Enabled by Mobile Technologies Supported –International Conference on Learning and Teaching for Future Readiness ICLT 2023 (17-19 May 2023)

• Investigations of multiple scattering of 320 keV gamma rays: a new technique for assigning an effective atomic number to composite materials. (Physica Scripta) - 79(035101) 8pp (2009). (Link)
• Experimental Evaluation of Multiple Compton Backscattering of gamma rays in Copper. (Indian Journal of Physics) - 83, 1141(2009).
• Experimental Evaluation of Multiple Compton Backscattering of gamma rays in aluminum. (Journal of Instrumentation Society of India) - 38(3), 221(2008).
• Experimental observation of energy dependence of saturation thickness of multiply scattered gamma photons. (Radiation Physics & Chemistry) - 77, 991(2008). (Link)
• Response function of NaI(Tl) detector and multiple backscattering of gamma rays in aluminum. (Applied Radiation & Isotopes) - 66, 1467(2008).
• Experimental investigations of multiple Scattering of 662 keV gamma photons in elements and binary alloys. (Applied Radiation & Isotopes) - 66, 1151(2008).
• Energy and intensity distributions of 0.279 MeV multiply Compton scattered photons in bronze– an inverse response matrix approach. (Pramana-Journal of Physics) - 70,1 (2008). (Link)
• Angular distribution of 0.662 keV multiply-Compton scattered gamma rays in copper (Radiation Measurements and Applications) - 42, 420 (2007). (Link)
• Experimental investigation of saturation depth of 0.662 MeV gamma rays in copper (Indian Journal of Pure and Applied Physics) - 45, 111 (2007).
• Experimental investigation of multiple scattering of 662 keV gamma rays in zinc at 90o (Radiation Physics & Chemistry) - 76, 750 (2007).
• Energy and intensity distributions of 0.279 MeV multiply Compton scattered photons in soldering material. (Nuclear Instruments & Methods in Physics Research – A) - 580, 54 (2007). (Link)
• Measurement of saturation depth of 279 keV gamma rays in bronze. (Asian Journal of Chemistry) - 18, 5, 3292 (2006).
• Energy and intensity distributions of multiple Compton scattering of 0.279-, 0.662- and 1.12- MeV gamma rays. (Physical ReviewA)- 74, 042714 (2006). (Link)