About
I’m a Ph.D. student in Information Science at Cornell University, under the guidance of René F. Kizilcec in the Future of Learning Lab. My research sits at the intersection of education, data science, and algorithmic fairness, with a focus on designing equitable education systems and supporting high-stakes decision-making processes in education. At Cornell, I have studied diverse topics in college admissions, particularly examining how policy changes might affect allocating educational opportunities, how identity representation differs between human and AI-generated college application essays, and uncertainty/arbitrariness of algorithms in predicting admissions outcomes.
I’m also fortunate to collaborate with Thorsten Joachims, Nikhil Garg and AJ Alvero.
Prior to Cornell, I spent several years as a data scientist at Korea University to develope course and major recommender systems to support college students’ decision making process. I received my MS in Fashion Marketing from Korea University and BAs in Education and Fashion Design & Merchandising from the same university.
Outside of work, I have a love-hate relationship with tennis — You’ll often find me attempting to upgrade my skills from the ‘absolute beginner’ category. I also love listening and curating music!
News
Aug 26th, 2024 “Large Language Models, Social Demography, and Hegemony: Comparing Authorship in Human and Synthetic Text” has been accepted for publication in Journal of Big Data
July 23rd, 2024 “Ending Affirmative Action Harms Diversity Without Improving Academic Merit” has been accepted to EAAMO’24 See you in San Luis Potosí, Mexico!
Jun 20th, 2024 “The Life Cycle of Large Language Models in Education: A Framework for Understanding Sources of Bias” has been accepted to the British Journal of Educational Technology.
Apr 3rd, 2024 Our project “Evaluating the Impact of Different Application Ranking Policies on College Admission Outcomes” has been awarded a grant from the Cornell Center for Social Sciences! ($12,000)
Jan 9th, 2024 Our work “Comparing Authorship in Human and Synthetic Text” has been accepted to Generative AI and Sociology workshop at Yale University!
Dec 22nd, 2023 Our workshop paper “When Bias Meets Personalization: Challenges and Perspectives in LLM-Based Educational Technology” has been accepted to LAK24!
Dec 7th, 2023 Our proposal “Application Essays and Characters in Higher Education Admissions” has been accepted to NCME 2024!
Oct 11th, 2023 My advisor and I gave a talk about our on-going literature review “Bias in Large Language Models in Education: Sources, Measures, and Mitigation Strategies” at NCME-AIMC(National Council on Measurement in Education-AI in Measurement and Education)
July 7th, 2023 Our workshop paper “Augmenting Holistic Review in University Admission using Natural Language Processing for Essays and Recommendation Letters” has been accepted to AIED Tokyo 2023!
Selected Publications
Ending Affirmative Action Harms Diversity Without Improving Academic Merit
Jinsook Lee*, Emma Harvey*, Joyce Zhou, Nikhil Garg, Thorsten Joachims, René F. Kizilcec
The 4th ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO ‘24)
The Life Cycle of Large Language Models in Education: A Framework for Understanding Sources of Bias
Jinsook Lee, Yann Hicke, Renzhe Yu, Chris Brooks, René F. Kizilcec
British Journal of Educational Technology (BJET)
Large Language Models, Social Demography, and Hegemony: Comparing Authorship in Human and Synthetic Text
AJ Alvero, Jinsook Lee, Alejandra Regla-Vargas, René F. Kizilcec, Thorsten Joachims, anthony lising antonio
Journal of Big Data
Augmenting Holistic Review in University Admission using Natural Language Processing for Essays and Recommendation Letters
Jinsook Lee, Bradon Thymes, Joyce Zhou, Thorsten Joachims, and René F. Kizilcec
EDI in EdTech R&D workshop at Artificial Intelligence in Education: 24th International Conference (AIED ‘23)
Development and Application of an AI-Powered Adaptive Course Recommender System in Higher Education: An Example From K University
Jinsook Lee, Kibum Moon, Suyeon Han, Sukang Lee, Hyejung Kwon, Jaeho Han and Gyutae Kim
Journal of Educational Technology, 37(2), 267-307
Teaching Experiences
TA
FA22;SP24 INFO4100/5101: Learning Analytics | Instructor: Prof. René F. Kizilcec
FA24 INFO/STS 4240/5240: Designing Technologies for Social Impact (DTSI) | Instructor: Prof. Chris Csíkszentmihályi