Statistics and Data Science Education
Assessment development
Elizabeth Eisenhauer–PhD, 2022; Statistician at Westat; co-advisor Ephraim Hanks; Dissertation: Advances in stochastic models for animal movement and assessment of attitudes toward probability.
Sayali Phadke–PhD, 2022; Assistant Professor at Penn State Behrend; co-advisor David Hunter; Dissertation: Measurement, assessment, and improvement of statistical literacy in relevant contexts.
Alyssa Hu–current PhD Student
Susan Lloyd–current PhD Student
Elle Tang–current PhD Student
Li, Z., Lloyd, S., Beckman, M. D., & Passonneau, R. J. (accepted). Answer-state Recurrent Relational Network (AsRRN) for Constructed Response Assessment and Feedback Grouping. .
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.
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). URL: https://doi.org/10.1080/10691898.2020.1848485
Beckman, M. D., delMas, R. (2018). Statistics students’ identification of inferential model elements within contexts of their own invention. ZDM–International Journal of Mathematics Education, 50(7).
Beckman, M. D., delMas, R., and Garfield, J. (2017). Cognitive transfer outcomes for a simulation-based introductory statistics curriculum. Statistics Education Research Journal, 16(2), pp. 419-440. URL: https://iase-web.org/documents/SERJ/SERJ16(2)_Beckman.pdf
Eisenhauer, E., Hanks, E. M., Beckman, M. D., Murphy, R., Miller, T., & Katzner, T. (2022). A Flexible Movement Model for Partially Migrating Species. Spatial Statistics. URL: https://doi.org/10.1016/j.spasta.2022.100637
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Eisenhauer, E., Beckman, M. (2021). Survey of Attitudes toward Probability. US Conference on Teaching Statistics. Virtual (COVID-19). URL: https://www.causeweb.org/cause/uscots/uscots21/th-06-survey-attitudes-toward-probability
Gong, Y., Pearl, D., Beckman, M., Hatfield, N., Zhang, S. (2021). The value of Log files of students’ interaction with software applications: Replicating a Bayesian Network analysis across multiple years data. US Conference on Teaching Statistics. Virtual (COVID-19). URL: https://www.causeweb.org/cause/uscots/uscots21/program/posters
Hu, A., Beckman, M., Pearl, D. (2021). Program Evaluation Through Alignment of Student Perceptions, Outcomes Assessment, and Faculty Perceptions in an Undergraduate Statistics Major. US Conference on Teaching Statistics. Virtual (COVID-19). URL: https://www.causeweb.org/cause/uscots/uscots21/tu-01-program-evaluation-through-alignment-student-perceptions-outcomes-assessment>
McNamara, A., Legacy, C., Rao, V., delMas, R., Zieffler, A., Beckman, M., Basner Butler, E. (2021). Computing in the Statistics Curriculum: Lessons Learned from the Educational Sciences. US Conference on Teaching Statistics. Virtual (COVID-19). URL: https://www.causeweb.org/cause/uscots/uscots21/tu-03-computing-statistics-curriculum-lessons-learned-educational-sciences
Zhang, S., Pearl, D., Beckman, M., Hatfield, N., Gong, Y. (2021). The value of Log files of students’ interaction with software applications: Performance Evaluation in Correlation Guessing. US Conference on Teaching Statistics. Virtual (COVID-19). URL: https://www.causeweb.org/cause/uscots/uscots21/program/posters
Yan, W., Pearl, D., Beckman, M. (2019). Assessing Student Conceptual Competencies using Bayesian Networks. US Conference on Teaching Statistics. University Park, PA.
Wu, J., Lai, C., Beckman, M., Raike, R., Gupta, R., Abosch, A., Nelson, D. (2013). Video-motion detection for objectively quantifying movements in patients with Parkinson’s disease. 17th International Congress of Parkinson’s Disease and Movement Disorders. Movement Disorder Society. Sydney, Australia.
Doe, B., Fontecchio, J., Beckman, M., Depre, J., Boulware, S., Keenan, T. (2012). Visual management system for manufacturing yield SPC data. Medtronic Science and Technology Conference. Minneapolis, MN.
Holland, M., Beckman, M. (2011). Statistical methods for monitoring rare adverse events. Neuromodulation Innovation Week. Minneapolis, MN.
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