Jennifer J Kaplan

Director, Ph.D. Program in Mathematics and Science Education (MSE)

Jennifer J Kaplan
(615) 898-5353
Room 139, Davis Science Building (DSB)
MTSU Box 76, Murfreesboro, TN 37132

Degree Information

  • PHD, University of Texas at Austin (2006)
  • MA, University of Texas at Austin (2001)
  • BA, Brandeis University (1989)

Areas of Expertise

Undergraduate Statistics Education, Professional Development for undergradaute STEM instructors

Publications

Kaplan, J.J. & Rogness, N. (2018). Increasing statistical literacy by exploiting lexical ambiguity of technical terms. Numeracy, 11(1). https://doi.org/10.5038/1936-4660.11.1.3

Kaplan, J.J., Rogness, N., & Fisher, D. (2014). Exploiting Lexical Ambiguity to Help Students Understand the Meaning of Random. Statistics Education Research Journal, 13(1), 9 – 24. http://iase-web.org/documents/SERJ/SERJ13%281%...

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Kaplan, J.J. & Rogness, N. (2018). Increasing statistical literacy by exploiting lexical ambiguity of technical terms. Numeracy, 11(1). https://doi.org/10.5038/1936-4660.11.1.3

Kaplan, J.J., Rogness, N., & Fisher, D. (2014). Exploiting Lexical Ambiguity to Help Students Understand the Meaning of Random. Statistics Education Research Journal, 13(1), 9 – 24. http://iase-web.org/documents/SERJ/SERJ13%281%29_Kaplan.pdf

Kaplan, J. J. and Roland, K. E. (2018) Improving Capacity and Quality of Undergraduate Statistics Instruction through Research-Based TA Training Experiences. Proceedings of the Tenth International Conference on Teaching Statistics (ICOTS-10). IASE. http://iase-web.org/icots/10/proceedings/pdfs/ICOTS10_C171.pdf?1531364321

Lyford, A. & Kaplan, J. J. (2018) Improving Student Learning and Instructional Effectiveness through the Innovative Use of Automated Analysis of Formative Assessments. Proceedings of the Tenth International Conference on Teaching Statistics (ICOTS-10). IASE. http://iase-web.org/icots/10/proceedings/pdfs/ICOTS10_1E1.pdf?1531382515

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Research / Scholarly Activity

My research is focused on using research on undergraduate learning in statistics to provide professional development to instructors of statistics. In general, the intellectual merit associated with all of my projects is two-fold: the research results address improvements in 1. undergraduate learning in statistics and 2. educator development in statistics. The broader impacts associated with my research are the meeting of desired societal outcomes: 1) improvin...

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My research is focused on using research on undergraduate learning in statistics to provide professional development to instructors of statistics. In general, the intellectual merit associated with all of my projects is two-fold: the research results address improvements in 1. undergraduate learning in statistics and 2. educator development in statistics. The broader impacts associated with my research are the meeting of desired societal outcomes: 1) improving STEM education and educator development at the undergraduate level and 2) providing enhanced infrastructure for research in teaching and learning and the education of undergraduates in STEM courses. In addition, my current research program lays a foundation for future projects that will address the outcomes of 3) developing a diverse, globally competitive STEM workforce, 4) improving well-being of individuals in society, and 5) increasing public scientific literacy.

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