JSM 2020 - VIRTUAL
List of events from the Section on Statistics and Data Science Education.
JSM 2019
List of section
sponsored eventsSession Speed Session Awards
- Winner: Gwendolyn Marie Eadie, University of Washington, "Active-Learning for Bayesian Inference: An Introductory Exercise Using MandM's Candy"
- Honorable Mention: Ginger Holmes Rowell, Middle Tennessee State University, "Digital Metaphors: a Tool to Provide Insights into Introductory Statistics Students' Motivation and Success"
- Honorable Mention: Allison Theobold, Montana State University, "Computational Workshops to Facilitate Implementation of Statistics in Scientific Research"
eCOTS 2018 Presentations
All presentations are now available online. The theme this year was “Data Science for All."
Stat Ed JSM 2018 Presentations
See the many presentations from our members here, where you can download them individually or all at once. All authors have given permission for their presentations to be uploaded to our website. All copyrights remain with these authors.
118 - Andrew Hoegh - Stat Programming to Principles of Da...
118 - Andrew Neath - Type S error Control in Hypothesis T...
118 - Darlene Olsen - Introducing R to Non-STEM Undergrad...
118 - Dusty Turner - Turner
118 - Jennifer Broatch - Helping All Students Design and ...
118 - Jim Pleuss - The Impact of Academically Homogeneous...
118 - Luis Quiros Gomez - A Didactic Game to Understand M...
118 - Philipp Burckhardt - How Students make Sense of Dat...
118 - Robert Carver - Shiny Dashboards to Help Students I...
118 - Robin Lock - Introducing Forecast Intervals with a ...
118 - Ryne VanKrevelen - Efficacy of 'The Islands'-based ...
118 - Sudipta Roy - Experiments in Statistics
118 - Tracy Morris - Statistical Consulting Experiences a...
153 - Emily Griffith - Griffith Emily Finding Undergradua...
153 - Gilbert Fellingham - Using University Athletic Prog...
153 - Justin Post - Implementing a Department-wide Underg...
153 - Kelly McConville - Understanding the Benefits and B...
153 - Vittorio Addona - Mentoring Undergraduate Research ...
196 - Joy Yang - Recreational Statistics
196 - Suhwon Lee - Affordable & OER in Statistical Educat...
212 - Alicia Johnson - Authoring & Utilizing Open Source...
212 - Andrew Bray - infer
212 - Chester Ivan Ismay - Using Data to Drive Curriculum...
212 - Garrett Grolemund - Streamline your class with RStu...
212 - Jennifer Bryan - Version Control
287 - Erin Blankenship - Simulation Based Inference in a ...
287 - Erin Blankenship - Simulation-Based Inference in a ...
287 - Nathan Tintle - Results from a Multi-Institution St...
287 - Stacey Hancock - Assessing Student Improvement in a...
348 - Alana Unfried - Student Survey of Motivational Atti...
348 - Jackie Miller - Implementing the HyFlex (Hybrid-Fle...
348 - Richard Levine - Ensemble Learning for ITEs
35 - Monnie McGee - Interrater Agreement for Diving Compe...
35 - Roger Johnson - Playoff Series and the Incomplete Be...
380 - Allen Downey - Inference in three hours and more ti...
380 - Jeff Witmer - Bringing Intro Stats into a Multivari...
380 - Kari Lock Morgan - Multivariable Thinking with Data...
380 - Mine CetinkayaRundel - Intro Stats and Intro Data S...
380 - Nicholas J. Horton - Preparing students to make sen...
404 - Beth Chance - Effectively Explaining Statistical Co...
42 - Nicholas J. Horton - Introductory Statistics in a Wo...
471 - Anna Fergusson - Large-scale interactives for large...
471 - Catherine Case - Productive Struggle Toward Statist...
471 - Chris Wild - Discussion
471 - John DeNero - Teaching Data Science
471 - Matt Beckman - Effective Pedagogy In Large Enrollme...
518 - Jeffrey Rosenthal - Teaching Markov Chains Using Ja...
523 - Iain Pardoe - Reflections On 10 Years Of Teaching O...
523 - Jennifer Green - STEM Storytellers
558 - Kevin Ross - Simulation-based approach to teaching ...
651 - Albert Y. Kim - Dismantling Math
651 - David Hunter - Herding Cats
651 - Deborah Nolan - Designing A Group Major In Data Sci...
651 - Mine CetinkayaRundel - Expanding the Tent (Discussi...
651 - Randi Garcia - Pathways through the SDS Major at Sm...
9 - Nicholas J. Horton - Data Science Education
JSM program specific to our section
Full list of all presentations sponsored by the Section on Statistical Education at JSM 2018, with links the corresponding abstracts.
Stat Ed JSM 2017 Presentations
All authors have given permission for their presentations to be uploaded to our website. All copyrights remain with these authors.
Modernizing the undergrad stat curriculum:
Hardin - Undergraduate research in stat & data science
Horton - Theoretical underpinnings for modernization
Parker - Industry expectations for stat graduates
Rundel - Dropping ad hoc stat computing education
Being research active in teaching-focused colleges:
Panel - An, Hardin, Roback, Wagaman, Wang, Zamba
JSM program specific to our section
Full list of all presentations sponsored by the Section on Statistical Education at JSM 2017, with links the corresponding abstracts.
Stat Ed JSM 2016 Presentations
All authors have given permission for their presentations to be uploaded to our website. All copyrights remain with these authors.
Adhikari - Doing more with data
Albert - (Big)Data science education
Andrews - Small college opportunities
BatesPrins - Doing & communicating about stats
Bergen - (Big)Data science education
Beyler - Health sciences journal clubs
BoehmVock - Doing & communicating about stats
Boomer - Small college opportunities
Broatch - Education analytics
Chance - Teaching with simulation-based inference
Chapman - Health sciences journal clubs
Delmas - Teaching with simulation-based inference
Dillard - Doing & communicating about stats
Frazier-LoFaro - Doing & communicating about stats
Genschel - Education analytics
Gould - Doing more with data
Healy - Health sciences journal clubs
Heggeseth - (Big)Data science education
Hitchcock - (Big)Data science education
Horton - Using R and RStudio
Hu - Small college opportunities
Imrey - Health sciences journal clubs
Kuiper - (Big)Data science education
Lock - (Big)Data science education
Loy - Small college opportunities
Maurer - Teaching with simulation-based inference
Morris-Ford - Doing & communicating about stats
Ndum - Education analytics
Phelps - Doing & communicating about stats
Pfenning - Health sciences journal clubs
Posner - Advancing statistical literacy
Rashid - Education analytics
Reyes - Small college opportunities
Rundel - Doing more with data
Simon - Health sciences journal clubs
Tintle - Teaching with simulation-based inference
vanEs-Weaver - Education analytics
Wagaman - Doing & communicating about stats
Ward - Doing more with data
West - Teaching with simulation-based inference
Woodard - Advancing statistical literacy
Woolford - (Big)Data science education
Panel: Evaluating intro stat textbooks
eCOTS 2016 Presentations
All presentations are now available online. The theme this year was “Changing with Technology."
Stat Ed JSM 2015 Presentations
All authors have given permission for their presentations to be uploaded to our website. All copyrights remain with these authors.
A. John Bailer, Undergrad and master's curriculum
Silas Bergen, Social justice in intro stat
Ann Cannon, Teaching the realities of data
Matthew A. Carlton, Proba in undergrad curriculum
Joe Chang, Proba and stat after calculus
Julie Couton, What would Fisher do?
Phyllis Curtiss, History of stat in curriculum
Dick De Veaux, Intro stat
Jay Emerson, The future of stat
John D. Emerson, Student collaborative work
Camille Fairbourn, Lessons from online stat class
Ulrike Genschel, Leading questions in intro stat
William M. Goodman, Resampling for paired cohorts
Stacey Hancock, Guidelines for undergrad program
Jo Hardin, Future undergrad curriculum
Brianna Hitt, Undergrad retention
Tisha Hooks, Teaching study design
Jeff Kollath, Bootstrap and t methods
Kim Massaro, Quantitative writing
Scott Mcclintock, Freakatistics
Xiao-Li Meng, Undergrad curriculum
Kyle Nickodem, Geometry for regression
Nicola Parker Justice, Development of stat TAs
George Recck, Motivation with daily quizzes
Andrew Sage, Predicting retention in STEM
Milo Schield, Stat inference for managers
Robert Stephenson, Math placement
Therri Usher, Active learning of data analysis
Robert Vierkant, New curriculum and hiring
Xiaofei (Susan) Wang, Learning stat with R