Quetelet seminar

18-05-2021 from 20:00 to 21:00
digital: zoom
Jan De Neve
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Rationale and Student Performance in Curricula Centered On the Statistical Investigation Process by dr. Nathan Tintle


In teaching introductory and intermediate statistics at the undergraduate level, the content and pedagogy of “simulation-based inference” (e.g., bootstrapping and randomization tests) have been advocated (e.g., Cobb, 2007) with the goal of improving student understanding of statistical inference, as well as the statistical investigation process as a whole. Preliminary assessment data has been largely positive (e.g., Tintle et al., 2011; Tintle et al., 2012; Chance et al., 2016, Chance et al., in press). This talk will provide rationale and examples of the pedagogy and content approaches we advocate in first and second courses in statistics. Then, we will describe our assessment efforts based on data from scores of institutions across the United States. In particular, we use multilevel models to explore the impact of student-level, instructor-level, and institution-level variables on pre/post measures of conceptual understanding for various curricula.

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Meeting ID: 923 5319 3388
Passcode: 0h783v52