activity
20212026
most citedFramework for Accessible and Inclusive Teaching Materials for Statistics and Data Science Courses

22 citations · 68 across the 10 of their papers we have counts for

collaborators

10 papers

stat.OT2026

See You at the Posterior Line: Learning Bayesian Modeling Through a Car Racing Game

Federica Zoe Ricci, Mine Dogucu

We present an interactive classroom activity designed to address a central challenge in teaching introductory Bayesian statistics: how to formalize subjective knowledge and availab…

stat.OT2026

Engaging students with statistics through choice of real data context on homework

Catalina Medina, Mine Dogucu

Statistics educators recommend teaching with real data with relevant contexts, but defining relevancy is challenging and varies by student. We investigated whether providing studen…

stat.OT2025

Statisticians Training STEM Educators in Statistics Methods and Pedagogy: A Case Study of Instructor Training in Bayesian Methods

Mine Dogucu, Jingchen Hu, Amy H Herring

Educating the next generation of scientists in statistical methodology is an important task. Educating their instructors in statistical content knowledge and pedagogical knowledge…

stat.OT2024★ 7 cited

A Systematic Literature Review of Undergraduate Data Science Education Research

Mine Dogucu, Sinem Demirci, Harry Bendekgey +2

The presence of data science has been profound in the scientific community in almost every discipline. An important part of the data science education expansion has been at the und…

stat.OT2023★ 3 cited

Automated grading workflows for providing personalized feedback to open-ended data science assignments

Federica Zoe Ricci, Catalina Mari Medina, Mine Dogucu

Open-ended assignments - such as lab reports and semester-long projects - provide data science and statistics students with opportunities for developing communication, critical thi…

stat.OT2023★ 4 cited

The Design and Implementation of a Bayesian Data Analysis Lesson for Pre-Service Mathematics and Science Teachers

Mine Dogucu, Sibel Kazak, Joshua Rosenberg

With the rise of the popularity of Bayesian methods and accessible computer software, teaching and learning about Bayesian methods are expanding. However, most educational opportun…

cs.HC2022★ 3 cited

Teaching Visual Accessibility in Introductory Data Science Classes with Multi-Modal Data Representations

JooYoung Seo, Mine Dogucu

Although there are various ways to represent data patterns and models, visualization has been primarily taught in many data science courses for its efficiency. Such vision-dependen…

stat.OT2022★ 15 cited

Tools and Recommendations for Reproducible Teaching

Mine Dogucu, Mine Cetinkaya-Rundel

It is recommended that teacher-scholars of data science adopt reproducible workflows in their research as scholars and teach reproducible workflows to their students. In this paper…

stat.OT2021★ 22 cited

Framework for Accessible and Inclusive Teaching Materials for Statistics and Data Science Courses

Mine Dogucu, Alicia A. Johnson, Miles Ott

Despite rapid growth in the data science workforce, people of color, women, those with disabilities, and others remain underrepresented in, underserved by, and sometimes excluded f…

stat.OT2021★ 14 cited

The Current State of Undergraduate Bayesian Education and Recommendations for the Future

Mine Dogucu, Jingchen Hu

As a result of the increased emphasis on mis- and over-use of -values in scientific research and the rise in popularity of Bayesian statistics, Bayesian education is becoming mo…