- Ph.D. candidate, Statistics Education, Montana State University, Bozeman, MT.
- M.S. (2016) Statistics, Montana State University, Bozeman, MT.
- B.S. (2014) Mathematics, Colorado Mesa University, Grand Junction, CO.
- B.B.A. (2014) Economics, Colorado Mesa University, Grand Junction, CO.
Email Address: email@example.com
We are quick to say what things we like to teach, what activities we will do, and what kinds of resources we will use; but without clarifying the desired results of our teaching, how will we ever know whether our designs are appropriate or arbitrary? How will we distinguish merely interesting learning from effective learning?Wiggins & McTighe in Understanding by Design
- Stat 217Q (course description link)
- Stat 411/511 - Lab Instructor (course description link)
- Stat 412/512 - Lab Instructor (course description link)
Our own values and desires influence our choices, from the data we choose to collect to the questions we ask. Models are opinions embedded in mathematics.Weapons of Math Destruction
- Introduction to R
- Intermediate R
- Workshop materials can be accessed here: RStudio Cloud Project (link)
- LaTeX for Data Analytics
Research and Projects
The value of qualitative research in advancing the field of statistics education should not be underestimated. The rich descriptions provided by qualitative research are often instrumental in helping readers understand the relationship between the context of a given study and their own circumstances.Randall Groth in Situating Qualitative Modes of Inquiry Within the Discipline of Statistics Education Research
My primary research interests lie in computing in statistics education and data science curriculum development. Currently, I am exploring the computational expectations and preparation of environmental science graduate students, in the context of the computing necessary to perform applications of statistics.
Alice Z.-Y. Chan A., Copenhaver M., Narayan S., Stokols L., Theobold, A. (2016). Structural Decomposition of Finite Frames, Advances in Computational Mathematics, 42(3), pp. 721-756. https://doi.org/10.1007/s10444-015-9440-1
Theobold, A. and Hancock, S. (submitted January 2019). How Environmental Science Graduate Students Acquire Statistical Computing Skills, Statistics Education Research Journal.
Presentations & Posters
- Aligning Statistical Computing Education with Expectations for Data Practitioners (link)
- Qualitative Research: A Statistician's Journey (link)
- Transferability of Statistical Computational Thinking and Abilities to Field Related Applications (link)
- Women in Statistics and Data Science Poster (link)
Updated on: 11/14/2014.