Open Case Studies: Statistics and Data Science Education through Real-World Applications.

ABSTRACT: With unprecedented and growing interest in data science education, there are limited educator materials that provide meaningful opportunities for learners to practice statistical thinking, as defined by Wild and Pfannkuch, with messy data addressing real-world challenges. As a solution, Nolan and Speed advocated for bringing applications to the forefront in undergraduate statistics curriculum with the use of in-depth case studies to encourage and develop statistical thinking in the classroom. Limitations to this approach include the significant time investment required to develop a case study - namely, to select a motivating question and to create an illustrative data analysis - and the domain expertise needed. As a result, case studies based on realistic challenges, not toy

SUBMITTER: Wright C 

PROVIDER: S-EPMC12002412 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature