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Session Type: Symposium
Although STEM competencies are critical for a variety of modern-day careers, there remains persistent underrepresentation of women and individuals from marginalized racial/ethnic groups in many STEM disciplines. Many educators attempt to broaden STEM participation by exposing students to role models and mentors in STEM. Programs using models and mentors often show promising effects, but little research has examined how and why certain features of role models or mentors support students. The purpose of this symposium is to present recent work examining the processes by which specific features and characteristics of STEM role models and mentors promote underrepresented students’ STEM participation. Presenters will discuss optimal features of role models and mentors, and how to leverage this information to design educational programming.
Investigating Academic and Demographic Similarities to Career Role Models for Motivating Diverse Students in STEM - Xiao-Yin Chen, University of Tennessee; Emily Quinn Rosenzweig, Teachers College, Columbia University
The Importance of Role Models Who Show Enthusiasm About STEM - Kahyun Lee, University of Houston; Jennifer L. Thompson, University of Houston; Allison Master, University of Houston
Predicting Network Tie Formation in Formal Mentoring: Similarity Matters for Undergraduate Women Students in STEM - Qiyue Zhang, Texas A&M University; Paul R. Hernandez, Texas A&M University
Harnessing Similarity for Quality Mentorship: Psychological and Demographic Similarity on Science Doctoral Students’ Mentoring Relationships - Trevor Tuma, University of Georgia; Erin L. Dolan, University of Georgia