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Title: Building students statistical skills using Passion-Driven Statistics “Boot Camp” Model
The COVID-19 pandemic has gifted us a pivot point, an opportunity, in which we can consider ways to do things differently than we have "always" done them. Traditionally, students view statistics as an obstacle to overcome, rather than an opportunity to pursue their own interests and passions. The Passion-Driven Statistics curriculum challenges this viewpoint by exposing students to a meaningful and powerful data analysis experience during a 3-day "boot camp" or as a short project over a few weeks. This provides major student outcomes (e.g., an empirical poster presentation) with minor faculty investment (e.g., time, technology). Our model can be quickly personalized to meet the needs of you and your students, which is especially important during moments of an unexpected pivot. In addition to face-to-face, the outcomes can be met in a fully online, remote, or hybrid environment, making this model suitable for use in a variety of contexts. The "boot camp" model could serve as a way for your student lab members to gain research experience, skill-building workshop for your psychology club students, or project for a content-based course. This NSF-funded (DUE #1820766) model is a multidisciplinary, project-based curriculum that supports students in conducting original research, asking original questions, and communicating methods and results using the language of statistics. The course attracts higher rates of under-represented minority (URM) students compared to a traditional math statistics course (Dierker et al., 2015) and higher rates of female and URM students compared to an introductory programming course (Cooper & Dierker, 2017). Students reported the course more rewarding, were more likely to accomplish more than expected, found the course more useful than other courses, increased confidence in working with data, increased interest in pursuing advanced statistics courses, and received more individualized support than other courses (Dierker et al., 2018).  more » « less
Award ID(s):
1820766
PAR ID:
10333414
Author(s) / Creator(s):
; ;
Editor(s):
Scherschel, H.; Rudmann, D.S.
Date Published:
Journal Name:
A compendium of conference presentations on teaching
Page Range / eLocation ID:
139-141
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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