Educating the Workforce of the Future: Teacher Education in Statistics and Data Science
Category: International Association for Statistical Education (IASE)
Students in the United States can start their exposure to statistical concepts as early as second grade. Often the scope and emphasis of these ideas are guided by national or local standards and facilitated by teachers. Both standards and teacher education are, for the most part, behind the trends of the discipline. Scholars in the area of statistics teacher education are challenged by trying to align research agendas and teacher preparation programs that respond to new trends. In this presentation, we will examine current student and teacher standards and argue that although statistics and data science are ‘friends,’ they fight for space in a crowded curriculum. In addition, empirical data will be presented to argue that secondary teachers are emerging as competent statistics educators but are still learning the discipline and how to teach it. Hence, the current times pose the following questions that the field must address: 1) What is the relationship between statistics and data science for curriculum development at the school level? 2) What should be the focus of teaching-learning with respect to statistics and data science? 3) Should we change student and teacher standards to reflect the new needs? 4) Who should take the leadership of these changes? Proposed answers to these questions will be presented as a way to motivate deeper conversations.