About

Have you ever thought to yourself: Some of the greatest ideas happen as you are casually chatting in a dusty hallway in your department…

We created StatTLC to act as a virtual space to share ideas (and spare you the dust allergies!) about the teaching and learning of all areas of statistics at the post-secondary levels. An important aspect of hallway conversations are that they happen quickly, in passing, and allow you to engage in a manner that aligns with your availability. We hope that this blog will offer similar opportunities as you read (or contribute) brief posts, join in on conversations, and draw inspiration from others in the community.

Meet the Editors

Steven Foti is the Director of the Online MS Program and Clinical Assistant Professor in the Department of Biostatistics at the University of Florida. He has taught a variety of biostatistics courses to undergraduates, master’s students in biostatistics and public health, and graduate students in the medical sciences, in both face-to-face and online formats. Steve earned a B.S. in Applied Mathematics & Statistics and Physics from Clarkson University and an M.Stat and Ph.D. in Curriculum & Instruction (statistics education) from the University of Florida. His interests include improving the teaching of graduate statistics in the online classroom, developing assessments, and furthering statistical literacy in both academic and community settings.

Laura Le is a lecturer in the Division of Biostatistics at the University of Minnesota. She has been teaching statistics since 2007 and has been teaching in the biostatistics department since 2013. Laura earned a B.A. in mathematics/statistics from Luther College, M.S. in statistics and a Ph.D. in educational psychology – statistics education from the University of Minnesota. Currently, she teaches the introductory biostatistics courses–both in-person and online, large (100+) and small enrollments (20)–to graduate students in the health sciences (e.g., public health, nurses, physicians, veterinarians, pharmacists, dentists). Laura’s interests include continually improving on the curriculum and teaching of introductory statistics courses, developing assessments, and sharing educational knowledge, tips, and resources with other educators.

Laura Ziegler is an Assistant Professor of Teaching in the Statistics Department at Iowa State University. She has been teaching statistics since 2006. Laura earned a B.A. in mathematics and computer science from Wayne State College, M.S. in statistics from the University of Nebraska-Lincoln,  and a Ph.D. in educational psychology – statistics education from the University of Minnesota. Currently, she focuses on coordinating a multi-section introductory statistics course as well as teaches introductory courses for students in the sciences and regression courses for students of all majors. Laura’s interests include learning how to better incorporate simulation-based methods in statistics courses, exploring cooperative learning techniques, developing assessments, and collaborating with other educators.

Douglas Whitaker is an assistant professor of statistics at Mount Saint Vincent University in Halifax, Canada. Doug has been teaching statistics since 2011 and received his PhD in Statistics Education from the University of Florida in 2016. Doug has taught introductory statistics courses with enrollments from 10 to 300+ students, and he has taught a variety of upper-level and graduate statistics courses. While most of his teaching has been face-to-face, he has taught some statistics courses online. His research interests include instrument and assessment development and affective outcomes in statistics education.

Adam Loy is an assistant professor of statistics at Carleton College. He received his B.A. in mathematics/statistics from Luther College and his M.S. and Ph.D. in statistics from Iowa State University.  Adam teaches across the entire statistics curriculum at Carleton (from intro courses in statistics and data science to an upper-level course in Bayesian statistics), and is passionate about incorporating realistic computation and visualization in the classroom. In addition to teaching small classes at liberal arts colleges, he has also taught 100-person introductory statistics courses at Iowa State and small classes at a Des Moines Area Community College. Outside the classroom, Adam has mentored students of all experience levels for two data-analytics competitions: MinneMUDAC and MUDAC.