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JSM2017 Program Chair Report

  • Dalene Stangl (Chair)
  • Mar 13, 2017
  • 2 min read

The 2017 JSM program will include nearly 100 speakers sponsored by the Statistics Education Section. These speakers will appear throughout 15 sessions including 3 invited, 5 topic contributed, and 5 contributed sessions along with 24 speed/posters, and 11 roundtables.

Three Invited Sessions:

  1. Modernizing the undergraduate statistics curriculum (Speakers: Nick Horton, Hilary Parker, Jo Hardin, and Colin Rundel)

  2. Novel approaches to first statistics / data science course (Speakers: Ben Baumer, Mine Çetinkaya-Rundel, Rebecca Nugent, and Daniel Kaplan)

  3. Training Statisticians to be Effective Instructors (Panelists: Adam Loy, Jennifer Kaplan, Meghan Short, Patricia Buchanan, and Paul Stephenson

Five Topic Contributed Sessions (Three are Panels)

  1. Being Research Active in Teaching-Focused Colleges

  2. The Essential Connections between Industry and Statistics Education: Innovation, Technology, and Partnerships

  3. Design, Implementation, and Impact of Different Approaches to Professional Development for Teachers of Statistics

  4. Teaching Introductory Statistics using Simulation-Based Inference Methods

  5. Modernizing the Statistical Collaboration Course

Five Contributed Sessions each with 7 speakers

  1. Advances in Pedagogy

  2. Technologies in the Classroom

  3. Teaching Special Groups and Undergraduate Research

  4. Teaching Introductory Statistics and Biostatistics

  5. Topics in Math/Stat and Advanced Courses

Roundtables for JSM 2017 Kelly McConville

We have a great slate of roundtables this year. Roundtables are an informal, themed discussion over breakfast or lunch and they are a great way to meet educators from other institutions. Registration for roundtables opens with general registration on May 1st.

AM Roundtables:

  1. Infusing Data Science into the Statistics Curriculum

  2. Turning a Tweet into a Lesson: Using Current Events as a Context

  3. Introducing Bayesian Statistics at Courses of Various Levels

  4. Why do students hate statistics?

PM Roundtables:

  1. A Course in Business Analytics

  2. Student Involvement in Community Projects

  3. Discussing the Uses and Creation of R Shiny Applications

  4. Incorporating Complex Survey Concepts into the Curriculum

  5. Recruiting and Engaging Students

  6. GAISEing at a Lecture Hall: Effective Pedagogy in Large-Enrollment Courses

  7. What are the 25 Most Common Terms in Statistics from the Last 20 Years?

Dalene Stangl, JSM2017 Program Chair for Statistical Education Section

 
 
 

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