Statistics and Data Science Education

Statistics and Data Science Education research focuses on studying the unique interaction of learning theory, curricular theory, and instructional theory as applied to statistics and data science classrooms. Our faculty collaborate in researching the teaching and learning of statistics and data science, with specific focus on key areas including: 

  • Statistical beliefs and cognition  
  • Social and cultural factors and determinants 
  • Technological innovations to support teaching and learning  
  • Undergraduate and graduate teaching assistant training 
  • Online, remote, and hybrid learning  
  • Statistics and data science for social justice 
  • Assessment development 

Faculty working in Statistics and Data Science Education