Projects


AIMS Project

Adapting and Implementing Innovative Material in Statistics (AIMS) was an NSF-funded project from 2006–2010 that developed lesson plans and activities based on innovative materials that have been produced for introductory statistics courses (DUE-0535912). Initially written in 2005–2006, the AIMS lesson plans and student activity guides were developed to help transform an introductory statistics course into one that is aligned with the Guidelines for Assessment and Instruction in Statistics Education (GAISE) for teaching introductory statistics courses. The lessons, which build on implications from educational research, involve students in small and large group discussion, computer explorations, and hands-on activities. The lessons are described in full detail along with the research foundations for the lessons, in Garfield and Ben-Zvi’s book Developing Students’ Statistical Reasoning: Connecting Research and Teaching Practice.



BioSQuaRE Project

Biology Science Quantitative Reasoning Exam (BioSQuaRE) was a multi-institutional HHMI-funded project from 2013–2016 that developed an instrument to assess the quantitative readiness of students planning on majoring in biology or the life sciences (Grant #520076788).

Q6 group at Keck Science Center (Claremont, CA) Feb. 2016.
Front row: Marion Preest, Paul Overvoorde, Laura Ziegler, Liz Stanhope, Jason Belitsky, Tabassum Haque
Back row: Charles Umbanhowar, Peter Brodfuehrer, Greg Davis, Laura Le, Marcelo Vinces, Andrew Zieffler



CATALST Project

Change Agents for Teaching and Learning Statistics (CATALST) was an NSF-funded project from 2008–2012 that developed materials for teaching a radically different introductory statistics course based on randomization and bootstrap methods to provide students a deep understanding of statistical inference (DUE-0814433). The materials produced from this project include a set of in-class activities and an online-book of accompanying reading material.

The different versions of Statistical Thinking: A Simulation Approach to Modeling Uncertainty



e-ATLAS Project

Evaluation and Assessment of Teaching and Learning About Statistics (e-ATLAS) was an NSF-funded project from 2011–2013 that developed high-quality instruments to help evaluate the effectiveness of past and on-going efforts to reform the teaching and learning of introductory statistics at the tertiary level (DUE-1044812 & 1043141). Two instruments developed as part of this project were the Statistics Teaching Inventory (STI) and Goals and Outcomes Associated with Learning Statistics (GOALS). An additional instrument, the Basic Literacy in Statistics (BLIS), was developed by Laura Ziegler as part of her doctoral dissertation research was also a part of the e-ATLAS project.



Recent Blog Posts


CV: Sale Items vs. Research Plan

Karen Kelsky writes about the importance of identifying a research plan and building your CV around this plan in her book The Professor is In: The Essential Guide to Turning Your Ph.D. into a Job. A reader once wrote to explain: During my years as a tenure track assistant professor, I went about publishing and doing research the way I do the grocery shopping: concentrating on the sale items like conferences, book reviews, on-line collaborations, i.

Student Awards! So Proud!

On April 26, 2019, two of my Statistics Education graduate students, Chelsey Legacy and Vimal Rao, were given awards during the annual Psychological Foundations and QME Awards and Recognition Ceremony. Chelsey Legacy (first row; right) was awarded the Graduate Student Teaching Award for her incredible work in the EPsy 3264 classroom. Vimal Rao (second row; second from right) was awarded the Graduate Student Leadership Award for his work in building community.

CV Tips

My colleague Joseph Rios and I helped organize a monthly reading and seminar series, QME and Friends Read, for interested graduate students in our program. In March, we hosted a seminar on the Curriculum Vitae, or CV. In preparing for that seminar, I looked through many faculty and student CVs. I also read many blog posts, and scholarly work about putting together a CV. Based on all of this and my own expereiences and advice given to me, I decided to put together a post (maybe multiple posts) that includes some suggestions for compiling a CV.

Computing in the '60s

My dad was a mathematics teacher at Sartell High School and was also really into computing and programming. I remember learning BASIC with him on our Apple IIe and also programming our TI-99/4A. (To save a program on the TI, we had to hook up an external tape recorder and write to a cassette tape. Then to run the program, you played the tape!) Old issues of Byte, Compute, Family Computing (check out the 1982 TV ad below), and other magazines and educational trades were stacked a mile-high in our living room; many providing the outlines of a program to create some graphical spectacle (e.

Deprecating Statistical Significance: Toward Better Science

On Friday April 26, 2019 I gave an invited talk to the Department of Speech-Language-Hearing Sciences in their Pro-Sem series. These are really neat as they are organized by the graduate students. This is the third one of these I have given over the years and each is a treat. In this talk I spoke about the ASA’s recent call for the deprecation of “statistical significance” and all its related variants (e.