Data Literacy ~ Teaching Framework

Teaching Framework

A teaching framework will describe approaches or best practices for teaching data literacy. Different teaching approaches may be found in the following sample courses and learning resources:

Critical Data Literacy
Data Analysis
Data Literacy: An Online Boot Camp with Statistics Canada
Data Quality in Six Dimensions
Data Visualization: An introduction
GC Data Community | GC Communauté des données
How Data Literate Are You? (I560)

Relevant Links

Critical Data Literacy, Nora Mulvaney, Audrey Wubbenhorst, Amtoj Kaur, Ryerson University.
Strategies and Best Practices for Data Literacy Education, Chantel Ridsdale,, Dalhousie University.
Data Literacy: An Online Boot Camp with Statistics Canada, Apolitical.
Teaching and Assessing Data Literacy: Resource Guide for Supporting Pre-Service and In-Service Teachers, Cynthia Conn,, Northern Arizona University.
What does it mean for teachers to be data literate: Laying out the skills, knowledge, and dispositions, Edith Gummer, Ellen B. Mandinach, Teaching and Teacher Education.
Teaching Educators Habits of Mind for Using Data Wisely, Candice Bocala, Kathryn Parker Boudett, Teachers College Record.
A classroom data literacy intervention for pre-service teachers, Todd D.Reeves, Sheryl L.Honig, Teaching and Teacher Education.
A Data-First Approach to Learning Real-World Statistical Modeling, Jacob Mortensen, Luke Bornn, Daria Ahrensmeier, Canadian Journal for the Scholarship of Teaching and Learning.
A Team Approach to Data-Driven Decision-Making Literacy Instruction in Preschool Classrooms: Child Assessment and Intervention Through Classroom Team Self-Reflection, Mary Abbott,, Young Exceptional Children.
Guidelines for Assessment and Instruction in Statistics Education (GAISE) College Report, Robert Carver,, American Statistical Association.
Pre-K–12 Guidelines for Assessment and Instruction in Statistics Education II (GAISE II), Anna Bargagliotti,, American Statistical Association.
Making a case for case-based teaching in data literacy, Derek R. Riddle, Jori S. Beck, Joseph John Morgan, Nancy Brown, Heather Whitesides, Kappa Delta Pi Record.
Elementary preservice teachers' reasoning about modeling a family factory with TinkerPlots - A pilot study, Rolf Biehler, Daniel Frischemeier, Susanne Podworny, Statistics Education Research Journal.
Teaching for statistical literacy: Utilising affordances in real-world data., Helen L. Chick, Robyn Pierce, International Journal of Science and Mathematics Education.
Datastorming: Crafting Data into Design Materials for Design Students’ Creative Data Literacy, Delia Yi Min Lim, Christine Ee Ling Yap, Jung-Joo Lee, C&C '21: Creativity and Cognition.
The Data Literacy Imperative - Part I: Building a Data Literacy Program, Dave Wells, Eckerson Group.
The Data Literacy Imperative - Part IV: Developing Data Literacy, Dave Wells, Eckerson Group.
Data Quality, elearning Curve.
Data Governance, elearning Curve.
Data Stewardship, elearning Curve.
A Roadmap for Creating a Data Literacy Program, Matt Cowell, QuantHub.
Data Analysis, Van Andel Education Institute.
Lessons for Teaching Data Literacy, Federal Reserve Bank of St. Louis.
Teaching Data Literacy Skills, Brittany Simmons, Everfi.
Data Literacy Training Products, Statistics Canada, Government of Canada.
Performance to Plan, U.S. Navy.
Library (Kubicle), Kubicle.