Whether a student is navigating the transition into university, formulating post-graduation plans, or somewhere in between, peer mentoring programs can be a great source of support. Many factors contribute to creating a beneficial program, but research shows that the matching process for assigning mentoring pairs has significant influence on the students’ success and satisfaction.
The Women in Engineering Program at R1 UNIVERSITY offers a peer network mentoring structure for women undergraduate engineering students with a focus on personal and professional development. Program participants can apply for an optional paired mentoring opportunity where First-Year Engineering (FYE) students are paired with an upperclass student in their desired major.
Currently, these pairs are matched manually using information from their application. This includes the participants’ desired (for FYE) or declared (for upperclass women) majors, how they self-identify on a spectrum of introverted to extraverted personality types, and responses to lifestyle questions. The purpose of this study is to determine the impact of this set of characteristics in a mentoring match.
There are 327 pairs in the Fall 2024 cohort. Of these pairs, 83.8% (274 pairs) have an FYE participant matched with an upperclass woman in their first desired major. Additionally, 84.4% (276 pairs) have matching self-identified personality types. Overall, 232 (70.9%) of the 327 pairs match on both major and personality type.
This paper will explore feedback collected from the participants (both the mentors and the mentees) to assess their satisfaction with both the program and their unique pairing. The initial study uses a mixed-methods approach to investigate what characteristics the participants believe make an ‘ideal’ mentoring pair and how that compares to their assigned pair. With this information, the goal is to optimize the matching process for peer mentoring pairs and to develop an understanding of how certain characteristics can impact a pair’s self-reported satisfaction with the mentoring relationship.
The full paper will be available to logged in and registered conference attendees once the conference starts on June 22, 2025, and to all visitors after the conference ends on June 25, 2025