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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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Give and gain: Black engineering students as near‐peer mentors
Abstract BackgroundEngineering‐oriented bridge programs and camps are popular strategies for broadening participation. The students who often serve as counselors and mentors in these programs are integral to their success. PurposePredicated on the belief that mentoring contributes to positive outcomes for the mentors themselves, we sought to understand how undergraduate student mentors approached and experienced their work with a 6‐day overnight, NSF‐sponsored youth engineering camp (YEC). This study was guided by the question: How did YEC camp counselors approach and experience their roles as mentors? Design/MethodsWe conducted an exploratory qualitative study of four Black undergraduate engineering students' experiences with and approaches to near‐peer mentorship in the YEC program. Data consisted of transcripts from two post‐program interviews and one written reflection from each participant. We analyzed data through abductive coding and the funds of knowledge framework. ResultsThrough subsequent interpretation of code categories, we found YEC mentors: (1) engaged in altruistic motivations as YEC mentors, (2) leveraged previous experiences to guide their approaches to mentorship, and (3) engaged in self‐directed learning and development. ConclusionsThis study highlights the knowledge and strategies that YEC mentors drew upon in their roles, and how they sought and achieved various personal, academic, and professional benefits. Insights from this study illustrate how near‐peer mentors can support their and others' engineering aspirations.
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- Award ID(s):
- 1826181
- PAR ID:
- 10406877
- Publisher / Repository:
- Wiley Blackwell (John Wiley & Sons)
- Date Published:
- Journal Name:
- Journal of Engineering Education
- Volume:
- 112
- Issue:
- 2
- ISSN:
- 1069-4730
- Format(s):
- Medium: X Size: p. 365-381
- Size(s):
- p. 365-381
- Sponsoring Org:
- National Science Foundation
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