Susan Lloyd
Biography
Susan Lloyd is a fifth-year Ph.D. student in the Department of Statistics at Penn State.
She received her BSE in Secondary Mathematics Education with Concentrations in Statistics and Actuarial Science from Millersville University in 2020.
Her research interests include undergraduate statistics and data science education, psychometrics, natural language processing, and topological data analysis. She is part of the Statistics and Data Science Education (SDSE) research lab group.
Honors and Awards
Penn State University
- 2020-2025: Janet L. Norwood Science Achievement Graduate Scholarship in Statistics
- 2023-2024: Jack and Eleanor Pettit Scholarship in Science
- 2023: Honorable mention for the 2024 Harkness Award for Excellence in Teaching
- 2023: 2023/2024 Statistics Department Climate and Diversity Award
- 2022-2023: Vollmer-Kleckner Scholarship in Science
- 2021-2022: August and Ruth Homeyer Graduate Fellowship
- Mu Sigma Rho National Statistics Honor Society
Publications
- Lloyd, S. E., Beckman, M., Pearl, D., Passonneau, R., Li, Z., & Wang, Z. (2022). Foundations for AI-Assisted Formative Assessment Feedback for Short-Answer Tasks in Large-Enrollment Classes. In S. A. Peters, L. Zapata-Cardona, F. Bonafini, & A. Fan (Eds.), Bridging the Gap: Empowering & Educating Today’s Learners in Statistics. Proceedings of the 11th International Conference on Teaching Statistics (ICOTS-11), Rosario, Argentina. ISI/IASE.
- Li, Z., Lloyd, S. E., Beckman, M.D., & Passonneau, R. J. (2023). Answer-state Recurrent Relational Network (AsRRN) for Constructed Response Assessment and Feedback Grouping. Findings of the Association for Computational Linguistics: EMNLP 2023. https://doi.org/10.18653/v1/2023.findings-emnlp.254
- Li, Z., Lloyd, S. E., Beckman, M. D., & Passonneau, R. J. (2023). I-STUDIO: A Reliable Statistical Automatic Short Answer Assessment Dataset. Penn State Data Commons. https://doi.org/10.26208/JFMP-V777
Teaching
Instructor of Record:
STAT 200 - Elementary Statistics
STAT 480 - Introduction to SAS
Teaching Assistant:
STAT 200 - Elementary Statistics
STAT 462 - Applied Regression Analysis
Ph.D Advisors