Summer Issue Features ChatGPT Guide for Teachers, Jackie Dietz Best Paper Award Collection

Nicholas Horton, Journal of Statistics and Data Science Education Editor

The summer 2023 issue of the open-access Journal of Statistics and Data Science Education features an editorial plus 10 articles.

Maria Tackett’s paper, “Three Principles for Modernizing an Undergraduate Regression Analysis Course,” leads the issue, offering guidance on engaging with real-world data, developing reproducible workflows, and improving teamwork.

The following articles touch on several topics in teaching statistics and data science:

• Amanda R. Ellis and Emily Slade offer guidance about how ChatGPT and other large learning models can enhance statistics and data science education.
• Nathan Taback and Alison L. Gibbs report on a randomized study of a “nudge” to improve students’ attitudes toward statistics.
• Mine Dogucu, Alicia A. Johnson, and Miles Ott share a framework for accessible and inclusive teaching materials.
• Davit Khachatryan offers a structure to incorporate Spotify and musical data into the classroom.
• Elizabeth G. Arnold and Jennifer L. Green describe how annotated lesson notes can improve statistics education.
• Kady Schneiter, KimberLeigh Felix Hadfield, and Jenny Lee Clements propose ways to leverage large classes to create more engaging environments.
• Wen Huang, Jeremi S. London, and Logan A. Perry describe the benefits from a project-based learning course on perceived relevance.
• Claudia C. Sutter, Karen B. Givvin, Mary C. Tucker, Kathryn A. Givvin, Ana Leandro-Ramos, and Paige L. Solomon further explore concerns and challenges for students due to the pandemic.
• Laura A. Hildreth, Michelle Miley, Erin Strickland, and Jacob Swisher close out the issue with a description of an innovative approach to foster written communication skills.

A new collection of papers that won the Jackie Dietz JSDSE Best Paper Award is available.

For 31 years, JSDSE has disseminated accessible knowledge for improving data science and statistics education at all levels. The journal is published jointly by the American Statistical Association and Taylor & Francis; has no author publication charges; and welcomes submissions from educators, practitioners, and researchers around the world. Read papers or sign up as a reviewer.