Abstract Number:
3691
Submission Type:
Contributed Abstract
Contributed Abstract Type:
Speed
Participants:
Tyler George (1)
Institutions:
(1) N/A, N/A
First Author:
Presenting Author:
Abstract Text:
A new course was developed that partnered with a non-profit and tabulated, organized,and analyzed their data to answer key questions and help them better serve Iowa communities. In recent years there has been a call for statistics and data science to be learned and practiced by diverse groups, and to be culturally relevant. These principles guided the development and implementation of this course. The community partner Waypoint works with Iowa's houseless families and was interested in differences by race and/or gender of persistent rental placements. To prepare second year undergraduate students, with no prerequisite courses, to answer these types of questions, the course's learning objectives included descriptive statistics, history of race and gender housing inequities, and communicating statistical results, among others. Students listened to podcasts, attended talks, played a board game, and met people in the community, to learn about and understand the current and historical realities of housing inequities in the United States. The course is published at https://bit.ly/STA200.
Keywords:
Justice|Inequity|Development| | |
Sponsors:
Section on Statistics and Data Science Education
Tracks:
Miscellaneous
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I have read and understand that JSM participants must abide by the Participant Guidelines.
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I understand that JSM participants must register and pay the appropriate registration fee by June 1, 2024. The registration fee is non-refundable.
I understand