LILY FESLER
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AI Tools in K12 Education
Fesler, L., Martinez, J., Agnew, C., Loeb, S. “The Evidence Base on AI in K-12: A 2026 Review,” AI Hub for Education of the SCALE Initiative, Stanford University, 2026."


Tutoring Studies
Fesler, L, Gu, A., & Chojnacki, G. (2023). "Air Tutors Online Tutoring: Math Knowledge Impacts and Participant Math Perceptions." Mathematica.
Meyer, L. Fesler, L. & Gu, A. (2024). "Impacts of Blended Learning Tutoring Models on Math Achievement After COVID-19." Mathematica.


Papers using Natural Language Processing
Fesler, L.
(2020). "
Opening the Black Box of Remote College Counseling using Text as Data." EdArXiv Preprints. [Honorable mention for best paper submission at the Conference on Educational Data Science 2020.]
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Fesler, L., Dee, T., Baker, R., & Evans, B. (2019). “Using Text as Data Methods for Education Research.” Journal of Research on Educational Effectiveness. [Working Paper]

Manuscripts in Preparation

Fesler, L. & Pender, M. "Promise Program Impacts on Enrollment, Graduation, and Debt."
Presentations: Association for Public Policy and Management (2019), PromiseNet (2019)



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