Shin, Jinnie
Assistant Professor
Research and Evaluation Methodology Program
School of Human Development and Organizational Studies in Education
College of Education
University of Florida
1602 Norman Hall
PO Box 117049
Gainesville, FL 32611
Phone: 352-273-4332
Fax: 352-846-2697
jinnie.shin@coe.ufl.edu
Research Biography
Jinnie Shin, Ph.D., is an Assistant Professor of Research and Evaluation Methodology in the School of Human Development and Organizational Studies in Education within the College of Education at the University of Florida. She has expertise in application of theory-based natural language processing and learning analytics in education research. In her work, she has focused on investigating how to bridge the gap between psychometric analysis and artificial intelligence in education research. Dr. Shin has experience with various international industry projects with the Medical Council of Canada, American College Testing, and the New Zealand Qualifications Authority, which focus on providing effective solutions to complex education problems using deep learning and natural language processing research.
Degrees
Ph.D. in Educational Psychology (Measurement, Evaluation, and Data Science), 2021
University of Alberta
M.Ed. in Educational Psychology (Measurement, Evaluation, and Cognition), 2018
University of Alberta
B.Ed. in Elementary Education (English Education), 2016
Gyeongin National University of Education
Key Professional Appointments
Assistant Professor, School of Human Development and Organizational Studies in Education, College of Education, University of Florida, 2021 – Present
Selected Publications
Book Chapters
Shin, J., Guo, Q., & Gierl, M. J. (2020). Automated essay scoring using deep learning. In M. Khosrow-Pour (Ed.), Handbook of research on modern educational technologies, applications, and management (Vol. 2). IGI-Global. doi: 10.4018/978-1-7998-3476-2
Journal Articles
Bulut, O., Cormier, D. C., & Shin, J. (2020). An intelligent recommender system for personalized test administration scheduling with computerized formative assessments. Frontiers in Education, 5, 1-11. https://doi.org/10.3389/feduc.2020.572612
Shin, J., & Gierl, M. J. (2020). More efficient processes for creating automated essay scoring frameworks: A demonstration of two algorithms. Language Testing. Advance online publication. https://doi.org/10.1177/0265532220937830
Shin, J., Bulut, O., & Gierl, M. J. (2020). Development practices of trusted AI systems among Canadian data scientists. International Review of Information Ethics, 28. https://doi.org/10.29173/irie377
Shin, J., Bulut, O., & Gierl, M. J. (2019). The effect of the most-attractive-distractor location on multiple-choice item difficulty. Journal of Experimental Education, 88(4), 643-659. https://doi.org/10.1080/00220973.2019.1629577
Shin, J., Guo, Q., & Gierl, M. J. (2019). Multiple-choice item distractor development using topic modeling approaches. Frontiers in Psychology, 10, 825. https://doi.org/10.3389/fpsyg.2019.00825
Selected Links
Personal website: https://jinnieshin.netlify.app/
