Active Learning as Inclusive Teaching: A Data Science Literature Review

• In Event: Sheraton Roundtable Session One
  In Roundtable Session: Developing Smartness: Considering Motivation and Learning in STEM (Table 7)

Abstract

In this research, we conduct a systematic literature review of active learning in statistics and data science education. With active learning pedagogy on the rise across the STEM disciplines, there is a growing recognition of the benefits of active learning for traditionally underrepresented groups. Situating our research through constructivist and inclusive learning frameworks, we explore where and how active learning in statistics is explored. Our research finds a very western-heavy list of publishing authors, and a disparate variety of approaches reviewed in the literature. Our findings point to the need for broader expansion of publication on active learning but also finds a broad foundation for those looking to implement active learning. Implications for practitioners and future research will be discussed.

Authors

• Brandon Dickson, Western University
  Presenting Author

• Douglas Woolford
  Non-Presenting Author

• Donna Kotsopoulos, University of Western Ontario
  Non-Presenting Author

• Boba Samuels, University of Toronto
  Non-Presenting Author