Amplifying Statistics and Data Science in Classrooms

2 girls exploring with data on a computer. Our world is rich with data sources and today’s media is flooded with graphs and data that require data literate citizens. Technology makes data more accessible than ever before, and statistics and data science skills can help students be ready for data-intensive STEM careers. Many countries around the world have increased the emphasis on statistics and data science in school curriculum — from elementary grades through college. This professional learning experience will help you develop strategies for using an investigation cycle to teach statistics and data science, ignite students’ interest in real world data investigations with technology, and emphasize inferential reasoning through posing different types of investigative questions.

Amplifying Statistics and Data Science in Classrooms is organized into two modules, each with 5 units. You can earn a 20 hour certificate of completion for each module (40 hrs for both). In both modules, there are opportunities to hear from experts, learn with colleagues to gain different perspectives on teaching and learning statistics and data science, and to build a library of resources to support your teaching.

Both modules feature conversations with expert teachers and statistics educators, including Christine Franklin, the American Statistical Association K-12 Statistical Ambassador. Both modules also feature opportunities to engage with data and view videos of students and teachers engaging with data in classrooms.

These professional learning resources are in an on-demand format. Once registered, you will always have access and can select the modules of interest to you and complete modules at your own pace, on your own schedule!

Over 4,400 educators from around the world — all 50 states, and 94 countries — have already engaged with materials in these modules when they were first offered from 2015-2019. The materials have been updated and slightly revised to reflect current research, trends, tools, and resources for teaching statistics and data science in grades 6-12. We think you will find a wealth of learning opportunities and resources that you can immediately use in your classrooms!

Who Should Use These Modules?

These modules are applicable to anyone interested in strengthening their approaches to teaching statistics and data science. The statistical content and strategies are appropriate for implementation with middle school through early college learners. Thus, teachers in grades 6–12 are the primary audience, although post-secondary or elementary teachers may also benefit from the professional learning experience. The modules may also be of interest to teacher educators and teachers of other disciplines that use data-based explorations extensively to make claims and inferences (e.g., science, social science).

Course Objectives

Module 1: Teaching Statistics Through Data Investigations

  • Strengthen your understanding of how to engage students in a statistical investigation;
  • Explore a framework for guiding your teaching of statistical investigations to promote deeper data explorations for your students;
  • Use rich data sources and dynamic graphing tools to support investigations of questions that are of interest to you and your students;
  • Examine ways students reason with data to make evidence-based claims;
  • Personalize applications of statistical investigations to your students.

Module 2: Teaching Statistics Through Inferential Reasoning

  • Strengthen your understanding of how to engage students in a statistical investigation process for the purpose of making inferences or claims;
  • Explore a framework for guiding your teaching of statistical investigations to promote inferential reasoning for your students;
  • Use rich data sources and dynamic graphing tools to support data exploration for investigative questions that give students opportunities to make inferences about contexts and issues of interest them;
  • Examine ways students reason with data to make inferences or claims;
  • Apply a framework for inferential reasoning to your educational practices.

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