2023 PSU Statistics Dept Research Day

February 3, 2023

Statistics & Data Science Education Research Interests

Educational Assessment

• developing and analyzing tools intended to measure specific learning outcomes, etc. Novel approaches to educational measurement.
• “tests” for research use across academic institutions; e.g., intro data science, intro statistics, capstone assessment just before graduation in statistics
• formative assessment; e.g., feedback for self-regulated learning and/or adaptive instruction

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 Proceedings of the eleventh international conference on teaching statistics. Rosario, Argentina.

Teaching & Learning

• mechanisms to promote efficient learning outcomes
• cognitive transfer, i.e., flexible/portable learning to be applied beyond the classroom
• cognitive load, i.e., stresses on student bandwidth during learning processes

Beckman, M. D., & delMas, R. C. (2018). Statistics students’ identification of inferential model elements within contexts of their own invention. ZDM Mathematics Education 50(7). DOI: 10.1007/s11858-018-0986-5

Data Science Education

• exploring intersection of stat education & computing education
• studying DS/CS topics introduced as learning objectives in statistics curricula
• Data literacy, data acumen, EDA for DS

Beckman, M. D., Cetinkaya-Rundel, M., Horton, N. J., Rundel, C. W., Sullivan, A. J., & Tackett, M. (2021). Implementing Version Control With Git and GitHub as a Learning Objective in Statistics and Data Science Courses. Journal of Statistics and Data Science Education, 29(1). https://doi.org/10.1080/10691898.2020.1848485

Curious?

• Talk to me! Take a photo of QR code below, email me, drop by to chat
• Visit SDSE Research Lab–meets Wed @ 9am in 421 Thomas Bldg (SP23)
• CAUSE Research Satellite @ USCOTS: 5/31 - 6/1 @ Penn Stater Conference Center (link)
• IASE catalog of PhD dissertations in statistics education (link)

QR Code: mdbeckman.github.io/2023-PSU-Stat-Research-Day

Contact

Matthew Beckman
Assoc Research Professor
Department of Statistics

office: 421C Thomas Building
email: mdb268 [at] psu [dot] edu
webpage: https://mdbeckman.github.io/