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.
Research interests: AI in Education, Learning Analytics, Machine Learning, Natural Language Processing, Adaptive/Personalized Learning.
Awards:
- McGill University Graduate Excellence Fellowship (2023-2026)
- SSHRC Stipend (2023-2025)
- GREAT Award (2023-2024)
Publications:
Evaluating Learners' Online Learning Experience of Informal Learning Environments: A LIWC Analysis
J. Gao, S. Wei, A.K. Dubé
The Journal of Applied Instructional Design, 2024
Exploring Duolingo User’s Learning Experience Through Text Mining
J. Gao, X. Huang, A.K. Dubé, N.G. Lobczowski
Proceedings of the 18th International Conference of the Learning Sciences, 2024
- 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..
- Alam, S., Gao, J., & Dubé, A.K. (Under Review). A Systematic Review and Meta-Analysis of Digital Mathematics Interventions for K-12 Mathematical Learning Disabilities Students. Journal of Research in Childhood Education.
