Develop teacher expertise in K-12 statistics and data science teaching through free, personalized professional learning.
How is InSTEP different from other online learning platforms?
Personalize learning to meet your professional needs through customized recommendations and collaborative spaces.
Build your skills in data investigations and innovative teaching approaches based on practices of data professionals and research on students’ learning with data.
Expand your professional collection of resources and technology vetted by experts in statistics and data science education.
Our Mission
Improve classrooms to build a better tomorrow for the data-centric world our students live in.
I can engage with it on my own schedule, rather than losing class time, and I’m coming away with lots of new ideas, resources, and activities.
Mathematics Teacher
Built on 7 Dimensions of Teaching Statistics and Data Science
Modules for teachers’ learning are organized by 7 interrelated dimensions of instructional design that support developing students' understanding of foundational processes, practices, and ways of thinking used in statistics and data science classrooms.
Hover over each dimension to learn more
When will InSTEP be available?
A select group of users will test the platform this year. Please sign up to be notified of our public release or for other opportunities to engage with the platform.
Until our release, we recommend you visit the free course: Amplifying Statistics and Data Science in Classrooms.
Project Team
Hollylynne S. Lee
Principal Investigator
Professor of Mathematics and Statistics Education, College of Education @ NC State University
Gemma Mojica
Co-Principal Investigator
Research Scholar, Friday Institute for Education Innovation @ NC State University
Alex Dreier
Co-Principal Investigator
Instructional Design Lead, Friday Institute for Educational Innovation @ NC State University
John Vavricka
Project Director
Senior Director, Center for Technology and Data Management @ RTI International
