Jürgen Symanzik provided insights into the teaching of data technologies, and Shingai Manjengwa shared her experiences developing a data science curriculum for Ontario high school students.
And a panel of seasoned educators from a variety of post-secondary contexts explored the application of universal learning principles in the teaching of statistics and data science.
The scientific program also included 43 presentations and 27 posters, addressing emerging research and practice on curricula, assessment, and learning in the current data landscape, the development of communication and computational skills, the creation of authentic learning experiences, the promotion of inclusive learning environments, and ways to enhance statistics and data science in schools.