Jie Gao


Ph.D. Candidate


I am a PhD candidate pursuing the Learning Sciences Program (AI Track) in the Department of Educational & Counselling Psychology, McGill University. I hold a master degree in Learning Analytics at Teachers College, Columbia University. I have more than 5 years of work experience as an educational data specialist, supporting many education companies & organizations (McGraw Hill, Read to Lead, Moonshot Academy, LingoAce, etc.) in the U.S. and China. Beyond that, I founded Data Science and Education Association in Columbia University. I also founded an EdTech community named Tiz EdTech (a member of AWS EdStart)  to support 2000+ educators and 15000+ followers.
Research interests: AI in Education, Learning Analytics, Machine Learning, Natural Language Processing, Adaptive/Personalized Learning.

Awards:

  • FRQSC Doctoral Research Scholarship (2025-2028)
  • McGill University Loop Lab Award (2025)
  • McGill University GREAT Award (2023-2024)
  • McGill University Graduate Excellence Fellowship (2022-2025)

Publications:

Can Vision Language Models Be Adaptive in Mathematics Education? A Learner Model-based Rubric Study


Jie Gao, Yong Yu, Junzhu Su, Yiran Lin, A. Dubé, J. Cheung

arXiv.org, 2026


Personalizing Mathematical Game-based Learning for Children: A Preliminary Study


Jie Gao, A. Dubé

International Conference on Artificial Intelligence in Education, 2026


Temporal Trajectories of Self-Regulation Learning: A Markov-Chain Approach to Modeling and Grouping Student Behaviors


Sha-Sha Li, Ting-Hui Wang, Jie Gao, Nikki G. Lobczowski, Krista R. Muis, A. Dubé, Susanne P. Lajoie

Proceedings of the 2026 AERA Annual Meeting, 2026


Mobile Learning Experience via Text Mining of App Store User Reviews


Jie Gao, Xiaoshan Huang, A. Dubé

Journal of Applied Instructional Design, 2025


COMPARISON OF LEARNING EXPERIENCE AMONG INFORMAL LEARNING APPS


Jie Gao, A. Dubé

ICERI proceedings, 2024

  • Gao, J. & Dubé, A.K. (2026, June). Personalizing Mathematical Game-based Learning for Children: A Preliminary Study. Paper. 2026 International Conference on Artificial Intelligence in Education, AIED 2026, Seoul, Republic of Korea.
  • Gao, J., Li, S., Zhang, J., Li, S., & Wang, T. (2026, April). Investigating Self-regulated Learning Sequences within a Generative AI-based Intelligent Tutoring System. Paper. 16th International Learning Analytics & Knowledge Conference, LAK 2026, Bergen, Norway.
  • Alam, S. S., Gao, J., & Dubé, A. K. (2025). A Systematic Review and Meta-Analysis of Digital Mathematics Interventions for K-12 Students with Mathematical Learning Disabilities. International Journal of Science and Mathematics Education, 1-28.
  • Gao, J., Song, Y., Cutumisu, M., & Dubé, A. K. (April, 2025). The Application of ChatGPT Across Educational Levels: A Systematic Review. Proceeding to be presented at 2025 AERA Annual Meeting, Denver, U.S..
  • Gao, J. & Dubé, A.K. (2024, November). Comparison of Learning Experience Among Informal Learning Apps. Oral Presentation at 17th Annual International Conference of Education, Research and Innovation, Seville, Spain.
  • Gao, J., Huang, X., & Dubé, A.K. (2024, October). Studying Mobile Learning Experience via Text Mining of App Store User Reviews. Poster presentation at AECT International Convention 2024, Kansas City, U.S..
  • Gao, J., Wei, S., & Dubé, A. (2024). Evaluating Learners’ Online Learning Experience of Informal Learning Environments: A LIWC Analysis. Journal of Applied Instructional Design. https://doi.org/10.59668/1269.15691
  • Lobczowski, N. G., Li, S., Chen, M., Huang, X., Gao, J., & Xie, H. (2024, August). Exploring socioemotional tendencies to situate individuals within groups. Symposium conducted at the 2024 EARLI Sig 8 International Conference on Motivation and Emotion, Bern, Switzerland.
  • Huang, X., & Gao, J. (2024, August). A Comprehensive User Experience Analysis of Emotional Tones and Key Themes in ChatGPT Reviews. Poster presentation at APA Convention 2024, Seattle, U.S..
  • Gao, J., Huang, X., Dubé, A. K., Lobczowski, N. G. (2024, June). Exploring Duolingo User’s Learning Experience Through Text Mining. Proceeding from 2024 ISLS Annual Meeting, Buffalo, U.S.. https://repository.isls.org/handle/1/11014
  • Gao, J., Alam, S., & Dubé, A. K. (2024, April). A Systematic Review and Meta-Analysis of Digital Mathematics Interventions for K-12 Mathematical Learning Disabilities Students. Proceeding from 2024 AERA Annual Meeting, Philadelphia, U.S..
  • Zhang, Y., Beneche, B., Xie, H., Gao, J., Huang, X.,... & Lobczowski, N. (2024, April). Effectiveness of technology integration on secondary mathematics students’ achievements in formal classroom settings: A meta-analysis. Proceeding from 2024 AERA Annual Meeting, Philadelphia, U.S..

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