The Jackie Dietz Best JSDSE Paper Award was established in 2011 and is given annually to the best paper among all those appearing in the Journal of Statistics Education (JSE) in a given year as determined by the Best JSE Paper Award Committee. This award is named in honor of Jackie Dietz, the founding editor of the Journal of Statistics Education (more information).
Current and Past Recipients:
2023: Benjamin S. Baumer, Albert Y. Kim, Miles Q. Ott, Randi Garcia, and Katherine Kinnaird for their paper, “Integrating Data Science Ethics into an Undergraduate Major: A Case Study” in Journal of Statistics and Data Science Education,” published in the Journal of Statistics and Data Science Education, Volume 30, Issue 1, 2022.
2022: Eric A. Vance for his paper, “Using Team-Based Learning to Teach Data Science,” published in the Journal of Statistics and Data Science Education, Volume 29, Issue 3, 2021.
2021: Lynette M. Hudiburgh and Diana Garbinsky for their paper, “Data Visualization: Bringing Data to Life in an Introductory Statistics Course,” published in the Journal of Statistics and Data Science Education, Volume 28, Issue 3, 2020.
2020: Heather S. Smith and Eric Vance for their paper, “The ASCCR Frame for Learning Essential Collaboration Skills,” published in the Journal of Statistics Education, Volume 27, Issue 3, 2019.
2019: Nathan Tintle, Jake Clark, Karen Fischer, Beth Chance, George Cobb, Soma Roy, Todd Swanson & Jill VanderStoep for their paper, “Assessing the Association Between Precourse Metrics of Student Preparation and Student Performance in Introductory Statistics: Results from Early Data on Simulation-Based Inference vs. Nonsimulation-Based Inference,” published in the Journal of Statistics Education, Volume 26, Issue 2, 2018.
2018: Julian Stander and Luciana Dalla Valle for their paper, “On Enthusing Students About Big Data and Social Media Visualization and Analysis Using R, RStudio, and RMarkdown,” published in the Journal of Statistics Education, Volume 25, Issue 2, 2017.
2017: Jane Watson and Lyn D. English for their paper, "Repeated Random Sampling in Year 5," published in the Journal of Statistics Education, Volume 24, Issue 1 (2016).
2016: Ellen Gundlach, K. Andrew R. Richards, David Nelson, and Chantal Levesque-Bristol for their paper, "A Comparison of Student Attitudes, Statistical Reasoning, Performance, and Perceptions for Web-Augmented Traditional, Fully Online, and Flipped Sections of a Statistical Literacy Class," published in the Journal of Statistics Education, Volume 23, Number 1 (2015).
2015: Jennifer J. Kaplan, John Gabrosek, Phyllis Curtiss, and Christopher J. Malone for their paper, "Investigating Student Understanding of Histograms" published in the Journal of Statistics Education, Volume 22, Number 2 (2014).
2014: To Jennifer L. Green and Erin Blankenship for their paper, "Primarily Statistics: Developing an Introductory Statistics Course for Pre-service Elementary Teachers" published in the Journal of Statistics Education, Volume 21, Number 3 (2013).
2013: To Roger Woodard and Herle McGowan for their paper titled "Redesigning a Large Introductory Course to Incorporate the GAISE Guidelines" published in the Journal of Statistics Education, Volume 20, Number 3 (2012).
2012: To Nathan Tintle, Jill VanderStoep, Vicki-Lynn Holmes, Brooke Quisenberry, and Todd Swanson for their paper titled "Development and assessment of a preliminary randomization-based introductory statistics curriculum" published in Journal of Statistics Education, Volume 19, Number 1 (2011).
2011: To Maxine Pfannkuch, Matt Regan, Chris Wild, and Nicholas J. Horton for their paper titled "Telling Data Stories: Essential Dialogues for Comparative Reasoning" published in the Journal of Statistics Education, Volume 18, Number 1 (2010).