NC State
HI-RiSE

MOOCs for Educators to Develop Expertise in Teaching Statistics

MOOC-Ed is a project of the Friday Institute for Educational Innovation at the NC State College of Education. Built on research-based models of effective professional development, professional learning communities, and online communities of practice, MOOC-Ed courses focus on authentic, project-based learning, collaboration, and peer-supported learning, rather than tests and grades that are needed in other types of MOOCs.  There have been 2 MOOC-Eds created specifically for developing the expertise for teaching statistics.

Teaching Statistics Through Data Investigations

The Teaching Statistics Through Data Investigation (TSDI) MOOC-Ed launched in Fall 2015 and has had over 3,500 educators participate thus far. Our world is rich with data sources, and technology makes data more accessible than ever before! To help ensure students are future ready to use data for making informed decisions, many countries around the world have increased the emphasis on statistics and data analysis in school curriculum–from elementary/primary grades through college. This course allows you to learn, along with colleagues from other schools, an investigation cycle to teach statistics and to help students explore data to make evidence-based claims.

Course Design Team Members: Dr. Hollylynne S. Lee, Dr. Dung Tran, Dr. Jennifer N. Lovett, Alex Dreier, Theresa Gibson, Dr. Glenn Kleiman

Expert Consultants:

  • Christine Franklin, University of Georgia
  • Dr. Webster West, NC State University
  • Dr. Susan Friel

Teaching Statistics Through Inferential Reasoning

The Teaching Statistics Through Inferential Reasoning (TSIR) MOOC-Ed launched in Fall of 2017 and has had over 900 educators participate thus far.  Every day we have opportunities to make data-based decisions and to consider how information we gather can inform us about what can be claimed about a situation, process, or larger collection. To prepare the next generation of data active citizens, we need to engage learners of all ages in investigations focused on making inferences and claims, supported by samples of data. This course allows you to learn, along with colleagues from other schools, how to emphasize inferential reasoning in teaching statistics through posing different types of investigative questions.

Course Design Team Members: Dr. Hollylynne S. Lee, Dr. Gemma F. Mojica, Christina Azmy, Alex Dreier

Expert Consultants:

  • Christine Franklin, University of Georgia
  • Dr. Maryann Huey, Drake University
  • Dr. Roger Woodard, University of Notre Dame

We greatly appreciate the funding support provided by the William and Flora Hewlett Foundation.

Thank you for the open education resources made available by the American Statistical Association, and the software support from TuvaLabs and CODAP.

We especially appreciate the donated licenses made by SAS for JMP and Pearson for StatCrunch, and the Statistics Learning Centre for the free licenses to a Snack-size Course.