Universities have been expanding undergraduate data science programs. Involving graduate students in these new opportunities can foster their growth as data science educators. We describe two programs that employ a near-peer mentoring structure, in which graduate students mentor undergraduates, to (a) strengthen their teaching and mentoring skills and (b) provide research and learning experiences for undergraduates from diverse backgrounds. In the Data Science for Social Good program, undergraduate participants work in teams to tackle a data science project with social impact. Graduate mentors guide project work and provide just-in-time teaching and feedback. The Stanford Mentoring in Data Science course offers training in effective and inclusive mentorship strategies. In an experiential learning framework, enrolled graduate students are paired with undergraduate students from non-R1 schools, whom they mentor through weekly one-on-one remote meetings. In end-of-program surveys, mentors reported growth through both programs. Drawing from these experiences, we developed a self-paced mentor training guide, which engages teaching, mentoring and project management abilities. These initiatives and the shared materials can serve as prototypes of future programs that cultivate mutual growth of both undergraduate and graduate students in a high-touch, inclusive, and encouraging environment.
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The Stewardship Model: An Inclusive Approach to Undergraduate Research
The field of social science lacks diversity, in both academia and industry. One cause is the “pipeline problem”. Too few students from diverse backgrounds—notably, first-generation college students and students of color—pursue social science undergraduate and graduate degrees. And, those who do are disproportionately likely to exit their respective fields. In response to these twin institutional failures, we have developed a new model of mentored undergraduate research experiences, the Stewardship Model of Mentoring, designed to enhance the presence and status of social scientists from diverse backgrounds through targeted recruitment, technical training, and multi-level mentoring. In this article, we detail the theory and practice of the Stewardship Model within our collaborative research laboratory, and we invite scholars to join a newly-piloted multi-institution survey effort to assess the effects of this and other undergraduate research experiences on the attitudes, skill development, and psycho-social well-being of students from a range of backgrounds.
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- Award ID(s):
- 1950816
- PAR ID:
- 10203599
- Date Published:
- Journal Name:
- PS: Political Science & Politics
- ISSN:
- 1049-0965
- Page Range / eLocation ID:
- 1 to 5
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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