Dr. Shan Li

Dr. Shan Li is an Assistant Professor in the College of Health at Lehigh University. He is also an affiliated faculty in the Department of Education and Human Services at Lehigh University. He received his Ph.D. in Educational Psychology from McGill University, and a B.S. in Educational Technology from Beijing Normal University. Dr. Li’s research explores the futures in digital education, with a focus on the design of innovative learning environments, learning analytics, educational data mining, and Artificial Intelligence in Education (AIED). 

Dr. Li is a learning scientist and educational technologist researching learning and teaching in both formal and informal settings related to the health professions. His overarching research goal is to understand and enhance health professions education (HPE) by designing intelligent learning and training applications, and examining learning processes related to students’ behavioral patterns, metacognition, emotions, and other attributes. He also employs state-of-art computational techniques to reveal performance differences among learners. 

Areas of Research 

Advanced Learning Technologies, Self-regulated Learning, Learning Analytics, Artificial Intelligence in Education, STEM Education, Health Professions Education

Representative Publications

Li, S. & Lajoie, S.P. (In press). Promoting STEM education through the use of learning analytics: A paradigm shift. In F. Ouyang, P. Jiao, B. McLaren, & A. Alavi (Eds.), Artificial Intelligence in STEM Education: The paradigmatic shifts in research, education, and technology. Auerbach: CRC Press. 

Lajoie, S.P., & Li, S. (In press). Theory-driven design of AIED systems for enhanced interaction and problem solving. In B. du Boulay, A. Mitrovic, & K. Yacef (Eds.), Handbook of Artificial Intelligence in Education. Cheltenham, UK: Edward Elgar Press.

Li, S., Zheng, J., Huang, X., & Xie, C. (2022). Self-regulated learning as a complex dynamical system: Examining students’ STEM learning in a simulation environment. Learning and Individual Differences. 95, 102144.

Li, S., Lajoie. S.P., Zheng, J., Wu, H., & Cheng, H. (2021). Automated detection of cognitive engagement to inform the art of staying engaged in problem-solving. Computers and Education. 163, 104114.

Li, S., & Lajoie, S. P. (2021). Cognitive engagement in self-regulated learning: An integrative model. European Journal of Psychology of Education. 1-20.

Li, S., Du, H., Xing, W., Zheng, J., Chen, G., & Xie, C. (2020). Examining temporal dynamics of self-regulated learning behaviors in STEM learning: A network approach. Computers and Education. 158, 103987.

For Dr. Shan Li’s publications, view them on Google Scholar > 


Fall 2022: TLT 462-010 Introduction to Learning Analytics