Making Data Science Count is an educational research group at the University of Tennessee, Knoxville


From this page, you can read news and updates, learn about ongoing projects, see who we are, and access publications.

Recent Posts

Presentation on the use of education-focused Twitter hashtags at the Martin School of Public Policy at the University of Kentucky

title: Presentation on studying education-focused Twitter hashtags in light of state-based and national policies and practices author: '’ date: ‘2020-02-21’ slug: presentation-on-studying-education-focused-twitter-hashtags-in-light-of-state-based-and-national-policies-and-practices categories: [] tags: [] Supported through an SEC Travel Grant, I presented on Studying education-focused Twitter hashtags in light of state-based and national policies and practices as a part of the 2020 Spring Seminar Series at the Martin School of Public Policy at the University of Kentucky, Lexington, KY.

Virtual Presentation at SIGSCE 2020: Accruing Interest

Unfortunately, the SIGSCE (the Association for Computing Machinery’s Special Interest Group on Computer Science Education) 2020 conference was cancelled. However, Alex Lishinski prepared a pre-precorded, virtual version of our lightning talk presentation, Accruing Interest: What experiences contribute to students developing a sustained interest in computer science over time?

Becoming Tidyr over Time- Data Visualization Development in an Online Community of Practice Data!)

Download the poster here! This poster was designed using the #betterposter format. Click here to learn more. Communities of Practice Communities of practice (CoPs) are groups of people who share a common interest and participate in activities that promote learning.

Presentations at the TN STEM Education Research Conference

The Making Data Science Count research group has two presentations at the upcoming TN STEM Education Research Conference: Rosenberg, J. M.,& Lishinski, A. (January, 2020). Measuring what matters in-the-moment: An experience sampling approach to understanding the development of interest in computer science.

Using R with 7th-grade science students (highlighted in Flowing Data!)

A blog post on [Using R With 7th-Grade Science Students[(https://joshuamrosenberg.com/post/2019/11/13/using-r-with-7th-grade-science-students/)] was recently highlighted in the widely-read data visualization blog Flowing Data. A link to the post is here. This is related to this project.

Research Group Members

Joshua M. Rosenberg

Assistant Professor, STEM Education

Alex Lishinski

Postdoctoral Scholar, Computer Science Education

Anthony Schmidt

Ph.D. Student, Evaluation, Statistics, and Measurement

Jennifer Longnecker

Ph.D. Student, Theory and Practice in Teacher Education

Michael Mann

Ph.D. Student, Theory and Practice in Teacher Education

Omiya Sultana

Ph.D. Student, Theory and Practice in Teacher Education

Alex Edwards

Teacher, Tate’s School

Macy Burchfield

Undergraduate Student

Esther Michela

Ph.D. Student, Learning, Design, and Technology program

Evelina Galas

M.S.Ed. Student, Concentration Professional Internship, Specialization Science Education

Ben Gibbons

Undergraduate Student, Psychology and Computer Science Double Major

Nathan Kenner

Ph.D. Student, Theory and Practice in Teacher Education

Tayla Thomas

Undergraduate Student

Recent Publications

Evaluating Content‐Related Validity Evidence Using a Text‐Based Machine Learning Procedure

Validity evidence based on test content is critical to meaningful interpretation of test scores. Within high‐stakes testing and …

Experiences, Activities, and Personal Characteristics as Predictors of Engagement in STEM-focused Summer Programs

Out-of-school-time programs for youth that are focused on STEM content are often seen as affording opportuni- ties to increase youth …

Identifying Multiple Learning Spaces Within a Single Teacher-Focused Twitter Hashtag

The existing work on teacher-focused Twitter hashtags typically frames each hashtag as a single, unified phenomenon, thereby collapsing …

Getting Messy With Data: Tools and Strategies for Engaging Students in Analyzing and Interpreting Complex Data Surces

An article for practicing science teachers on tools and stragegies for involving students in data analysis.