Staff Profile

Biography

Dr. Samuel Ping-Man Choi is currently an assistant professor of Lee Shau Kee School of Business and Administration at Hong Kong Metropolitan University. He received both his Bachelor and Master degrees in computer science from University of Manitoba (Canada), and his PhD degree in computer science from Hong Kong University of Science and Technology. Before joining HKMU, Dr. Choi taught at Hong Kong University of Science and Technology and was a post-doctoral teaching fellow in the Department of Computer Science at Hong Kong Baptist University. His primary research interests are learning analytics, financial technologies and machine learning.

Teaching Areas & Research Interests

• Learning Analytics
• Financial Technologies
• Machine Learning

Selected Publications

Book Chapters

• Samuel P. M. Choi and S. S. Lam, “iChecker: An Efficient Plagiarism Detection Tool for Learning Management Systems”, In Management Association, I. (Ed.), Scholarly Ethics and Publishing: Breakthroughs in Research and Practice, IGI Global, pp. 232-247, 2019. http://doi:10.4018/978-1-5225-8057-7.ch011
• S. S. Lam and Samuel P. M. Choi, “Multidimensional Ontology-Based Information Retrieval for Academic Counseling.” Information Retrieval and Management: Concepts, Methodologies, Tools, and Applications. IGI Global, pp. 1726-1744, 2018.
• Samuel P. M. Choi and S. S. Lam, “Modeling the Process of Learning Analytics Using a Reinforcement Learning Framework”, in Innovations in Open and Flexible Education, edited by Kam Cheong Li, Kin Sun Yuen, and Billy Tak Ming Wong, pp. 243-251, Springer's Education Innovation Series, 2018.

Journal Articles

• S. S. Lam, Samuel P. M. Choi and C. Y. Ng, “Exploring Learning Behaviour Under an Integrated Mobile and Web-based Learning Environment”, International Journal of Mobile Learning and Organisation, Vol. 15 No. 2, 2021.
• Samuel Ping-Man Choi, Yin-Hei Chan, Sze-Sing Lam and Hie-Yiin Hung (November 2020), “Analyzing the Importance of Broker Identities in the Limit Order Book Through Deep Learning”, Big Data. 2020 Nov 17. doi: 10.1089/big.2020.0053. Epub ahead of print. PMID: 33202194.
• C.Y. Ng, S.S. Lam, Samuel P.M. Choi, and Kris M.Y. Law, “Optimizing Green Design using Ant Colony based Approach”, The International Journal of Life Cycle Assessment, vol. 25, issue 3, pp. 600-610, 2020. https://doi.org/10.1007/s11367-019-01717-4
• C.Y. Ng, S.S. Lam and Samuel P.M. Choi, “Logistic Sequencing for Improving Environmental Performance Using Ant Colony Optimization”, Environmental Impact Assessment Review, Volume 77, July 2019, Pages 182-190, 2019.
• Samuel P. M. Choi, Franklin S.S. Lam, Kam Cheong Li and Billy T.M. Wong, “Learning Analytics at Low Cost: At-risk Student Prediction with Clicker Data and Systematic Proactive Interventions”, Educational Technology & Society, 21 (2), 273–290, 2018.
• Samuel P. M. Choi and Franklin S.S. Lam, “A Hierarchical Model for Teaching and Learning with E-textbook – Moving up from Substitution to Transformation”, Interactive Technology and Smart Education, 15(2), 92-103, 2018. https://doi.org/10.1108/ITSE-12-2017-0063
• Samuel P. M. Choi and Franklin S.S. Lam, “A Road Map for E-textbook Functionality”, Journal of Open Learning, 23 (2), 59-62, 2018.
• Billy T.M. Wong, Kam Cheong Li and Samuel P. M. Choi, “Trends in Learning Analytics Practices: A Review of Higher Education Institutions”, Interactive Technology and Smart Education, 15(2), 132-154, 2018. https://doi.org/10.1108/ITSE-12-2017-0065

Modified Date: 11 Nov, 2023
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