Kyong Jin SHIM
Full-time Faculty
Associate Professor of Information Systems (Practice); Coordinator, BSc (IS) Business Analytics Track; PCE Quality Assurance Academic Reviewer
School of Computing and Information Systems
SCIS
Qualification
- PhD, University of Minnesota, 2011
Teaching Topics
- Web Application Development I
- Web Application Development II
- Big Data Architecture
- Social Analytics & Applications
- Virtual Reality for Business
Research Advisor/Co-Research Advisor to
Research Areas and Areas of Expertise
Strategic Priorities
HighlightsKyong Jin Shim is an accomplished academic and practitioner specializing in social computing, data mining, and immersive learning technologies, with a strong track record in research, teaching innovation, and academic leadership at Singapore Management University.
Bridges advanced analytics and educational innovation, delivering impactful solutions in both academic and industry contexts; recognized for integrating real-world technologies into curricula, fostering student engagement, and leading interdisciplinary research; awarded for teaching excellence and leadership in academic program development.
Focused research areas include Application of data mining and social network analysis in online games, education, and social media; development of AI-driven and immersive learning tools; analytics for student engagement and performance; integration of professional certifications and industry needs into computing curricula.
Bridges advanced analytics and educational innovation, delivering impactful solutions in both academic and industry contexts; recognized for integrating real-world technologies into curricula, fostering student engagement, and leading interdisciplinary research; awarded for teaching excellence and leadership in academic program development.
Focused research areas include Application of data mining and social network analysis in online games, education, and social media; development of AI-driven and immersive learning tools; analytics for student engagement and performance; integration of professional certifications and industry needs into computing curricula.
Areas of Expertise
data miningsocial computing
Past Awarded Grant
- PresentationPro: Improving Public Speaking Skills through AI-Driven Virtual Reality Interactions, Tertiary Education Research Fund (TRF), Ministry of Education (MOE), PI (Project Level): Kyong Jin SHIM, Co-PI (Project Level): Swapna GOTTIPATI, Rajesh Krishna BALAN, DAI Bing Tian, 2024, S$144,302.2
- DHL-SMU Analytics Lab, DHL, PI (Project Level): Kyong Jin SHIM, 2016, S$500,000
- Leveraging Mobile Sensing to Provide Early Detection of Meltdowns in Children with Autism, SMU Internal Grant, Ministry of Education (MOE) Tier 1, PI (Project Level): Rajesh Krishna BALAN, 2023, S$120,000
- New global shipping patterns: synchronized delivery in global supply chains, SMU Internal Grant, Ministry of Education (MOE) Tier 1, PI (Project Level): Amanda JAKOBSSON, Co-PI (Project Level): Kyong Jin SHIM, 2017, S$23,950
- Gen-AI Mentor for IS project Experience: Enhancing Proposal Quality, ESRG, SMU Centre for Teaching excellence PI (Project Level): Kiruthika RAMANATHAN, Co-PI (Project Level): Rafael J. BARROS, Kyong Jin SHIM, 2024, SGD9,000
Latest Publications
Showing up to 6 latest publications from the past 5 years.
- S GOTTIPATI, KJ SHIM, V SHANKARARAMANInternational Conference on Computers in Education, 2023
- KJ Shim, T Menkhoff, LYQ Teo, CSQ OngEducation and Information Technologies 28 (12), 16065-16088, 2023
- M Thulasidas, KJ Shim, J Teo2023 IEEE International Conference on Teaching, Assessment and Learning for …, 2023
- EL Ouh, BKS Gan, K Jin Shim, S WlodkowskiProceedings of the 2023 Conference on Innovation and Technology in Computer …, 2023
- S Gottipati, KJ Shim, S Datta2023 IEEE Global Engineering Education Conference (EDUCON), 1-8, 2023
- S Gottipati, KJ Shim, R Tan, ZR Tan2023 IEEE Global Engineering Education Conference (EDUCON), 1-8, 2023
This highlights are AI-generated content using the faculty's CV.
Qualification
- PhD, University of Minnesota, 2011
Teaching Topics
- Web Application Development I
- Web Application Development II
- Big Data Architecture
- Social Analytics & Applications
- Virtual Reality for Business
