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Michelle Cheong is an award-winning educator and academic leader whose research and teaching span technology-enhanced learning, data analytics, and operations management, with significant contributions to curriculum innovation and industry collaboration.
Recognized for bridging academic research with real-world application, Michelle Cheong has pioneered curriculum and assessment innovations in analytics education, advanced the integration of AI in learning, and fostered industry partnerships that translate research into measurable business and societal impact. Her leadership in postgraduate education and commitment to teaching excellence have shaped the next generation of analytics professionals.
Focused research areas include AI-driven educational systems and assessments, generative AI in teaching and learning, analytics-enabled authentic assessment design, spreadsheet modeling for business problem-solving, data and decision analytics frameworks, sentiment analysis and prediction using social media data, and practical solutions for logistics and supply chain optimization.
Recognized for bridging academic research with real-world application, Michelle Cheong has pioneered curriculum and assessment innovations in analytics education, advanced the integration of AI in learning, and fostered industry partnerships that translate research into measurable business and societal impact. Her leadership in postgraduate education and commitment to teaching excellence have shaped the next generation of analytics professionals.
Focused research areas include AI-driven educational systems and assessments, generative AI in teaching and learning, analytics-enabled authentic assessment design, spreadsheet modeling for business problem-solving, data and decision analytics frameworks, sentiment analysis and prediction using social media data, and practical solutions for logistics and supply chain optimization.
Areas of Expertise
Data & Decision AnalyticsOperations ManagementSpreadsheets Modeling
Past Awarded Grant
- Adaptive and Intelligent Question-and-Answer Platform to Support Collaborative Learning, SMU Internal Grant, Ministry of Education (MOE) Tier 1, PI (Project Level): DAI Bing Tian, Co-PI (Project Level): Michelle CHEONG, DAI Bing Tian, 2017, S$149,354
- Enhancement of INtelligent Q&A Platform with On-Demand Analysis and Post Improvement Suggestions, Technology Enhanced Learning (TEL) Fund, SMU CTE PI (Project Level): Michelle CHEONG
Latest Publications
Showing up to 6 latest publications from the past 5 years.
- T Lim, S Gottipati, M CheongInternational Journal of Educational Technology in Higher Education 22 (1), 56, 2025
- M CheongJournal of Computer Assisted Learning 41 (3), e70035, 2025
- MLF Cheong, YC CHENScience and Technology Publications 2, 189, 2025
- Optimization Theory [2024]MLF Cheong, MN LaikData and Decision Analytics for Business Operations: Principles, Problems …, 2024
- MLF Cheong, MN LaikData and Decision Analytics for Business Operations: Principles, Problems …, 2024
- Distribution Management [2024]MLF Cheong, MN LaikData and Decision Analytics for Business Operations: Principles, Problems …, 2024
Qualification
- PhD, Nanyang Technological University, 2005
Teaching Topics
- Computer as an Analysis Tool
- Operations Analytics & Applications