Journal of Statistics and Data Science Education: Promoting Innovative and Inclusive Approaches in Statistics and Data Science Education

For statistics, data science and AI to truly benefit society, it is not enough to simply develop more effective technologies and methodologies; we must also ensure that educators are equipped to teach these subjects using innovative teaching strategies and engaging resources that support effective learning and cater to a wide range of learning styles. This is especially important as data science curricula rapidly expand across various disciplines. In this session, statistics and data science educators who published their educational resources and teaching experiences in the Journal of Statistics and Data Science Education (JSDSE), will showcase their effective teaching approaches and resources. The speakers will discuss how they use the foundational principles of statistics education to support the implementation of their accessible teaching innovations in a wide range of courses, including experimental design, Bayesian statistics, biostatistics literacy, and earth and environmental data science. By aligning the educational resources used in their courses with best practices in statistics and data science education, the presentations will show that effective pedagogy extends beyond introductory college statistics courses and statistics departments. In the presentations, the authors will guide us through some of these innovative resources, demonstrating examples of how data literacy competencies can be developed across the statistics curriculum and across many disciplines.