The Journal of Statistics and Data Science Education Jackie Dietz Best Paper Award

Figures & data

Table 1: Previous winners of Jackie Dietz JSDSE Best Paper Award.

Title	Citation	Year
Integrating Data Science Ethics Into an Undergraduate Major: A Case Study	Baumer et al. (2022)	2022
Using Team-Based Learning to Teach Data Science	Vance (2021)	2021
Data Visualization: Bringing Data to Life in an Introductory Statistics Course	Hudiburgh and Garbinsky (2020)	2020
The ASCCR Frame for Learning Essential Collaboration Skills	Vance and Smith (2019)	2019
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	Tintle et al. (2018)	2018
On Enthusing Students About Big Data and Social Media Visualization and Analysis Using R, RStudio, and RMarkdown	Stander and Valle (2017)	2017
Repeated Random Sampling in Year 5	Watson and English (2016)	2016
A Comparison of Student Attitudes, Statistical Reasoning, Performance, and Perceptions for Web-Augmented Traditional, Fully Online, and Flipped Sections of a Statistical Literacy Class	Gundlach et al. (2015)	2015
Investigating Student Understanding of Histograms	Kaplan et al. (2014)	2014
Primarily Statistics: Developing an Introductory Statistics Course for Pre-service Elementary Teachers	Green and Blankenship (2013)	2013
Redesigning a Large Introductory Course to Incorporate the GAISE Guidelines	Woodard and McGowan (2012)	2012
Development and Assessment of a Preliminary Randomization-Based Introductory Statistics Curriculum	Tintle et al. (2011)	2011
Telling Data Stories: Essential Dialogues for Comparative Reasoning	Pfannkuch et al. (2010)	2010

Figure 1: Wordcloud of all title words, keywords, and abstracts from papers that have won the JSDSE Jackie Dietz Award.

Baumer, B. S., Garcia, R. L., Kim, A. Y., Kinnaird, K. M., and Ott, M. Q. (2022), “Integrating Data Science Ethics Into an Undergraduate Major: A Case Study,” Journal of Statistics and Data Science Education, 30, 15–28. DOI: 10.1080/26939169.2022.2038041.

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Vance, E. A. (2021), “Using Team-Based Learning to Teach Data Science,” Journal of Statistics and Data Science Education, 29, 277–296. DOI: 10.1080/26939169.2021.1971587.

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Hudiburgh, L. M., and Garbinsky, D. (2020), “Data Visualization: Bringing Data to Life in an Introductory Statistics Course,” Journal of Statistics Education, 28, 262–279. DOI: 10.1080/10691898.2020.1796399.

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Vance, E. A., and Smith, H. S. (2019), “The ASCCR Frame for Learning Essential Collaboration Skills,” Journal of Statistics Education, 27, 265–274. DOI: 10.1080/10691898.2019.1687370.

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Tintle, N., Clark, J., Fischer, K., Chance, B., Cobb, G., Roy, S., Swanson, T., and VanderStoep, J. (2018), “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,” Journal of Statistics Education, 26, 103–109. DOI: 10.1080/10691898.2018.1473061.

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Stander, J., and Valle, L. D. (2017), “On Enthusing Students About Big Data and Social Media Visualization and Analysis Using R, RStudio, and RMarkdown,” Journal of Statistics Education, 25, 60–67. DOI: 10.1080/10691898.2017.1322474.

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Watson, J. M., and English, L. D. (2016), “Repeated Random Sampling in Year 5,” Journal of Statistics Education, 24, 27–37. DOI: 10.1080/10691898.2016.1158026.

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Gundlach, E., Richards, K. A. R., Nelson, D., and Levesque-Bristol, C. (2015), “A Comparison of Student Attitudes, Statistical Reasoning, Performance, and Perceptions for Web-Augmented Traditional, Fully Online, and Flipped Sections of a Statistical Literacy Class,” Journal of Statistics Education, 23, 1–33. DOI: 10.1080/10691898.2015.11889723.

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Kaplan, J. J., Gabrosek, J. G., Curtiss, P., and Malone, C. (2014), “Investigating Student Understanding of Histograms,” Journal of Statistics Education, 22, 1–30. DOI: 10.1080/10691898.2014.11889701.

 Google Scholar

Green, J. L., and Blankenship, E. E. (2013), “Primarily Statistics: Developing an Introductory Statistics Course for Pre-Service Elementary Teachers,” Journal of Statistics Education, 21, 1–20. DOI: 10.1080/10691898.2013.11889683.

 Google Scholar

Woodard, R., and McGowan, H. (2012), “Redesigning a Large Introductory Course to Incorporate the GAISE Guidelines,” Journal of Statistics Education, 20. DOI: 10.1080/10691898.2012.11889650.

 Google Scholar

Tintle, N., VanderStoep, J., Holmes, V.-L., Quisenberry, B., and Swanson, T. (2011), “Development and Assessment of a Preliminary Randomization-Based Introductory Statistics Curriculum,” Journal of Statistics Education, 19, 1–25. DOI: 10.1080/10691898.2011.11889599.

 Google Scholar

Pfannkuch, M., Regan, M., Wild, C., and Horton, N. J. (2010), “Telling Data Stories: Essential Dialogues for Comparative Reasoning,” Journal of Statistics Education, 18, 1–38. DOI: 10.1080/10691898.2010.11889479.

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Data Availability Statement

Per journal policies, data and code associated with this editorial can be found at https://doi.org/10.17605/OSF.IO/746ZR.