Diversity Among Mentors in STEM+Computing MentorCorps

This paper aims to analyze the practices in recruiting mentors for our STEM + Computing (STEM+C) MentorCorps project. We used quantitative research methods in this study. A total of 69 student mentors were entered into study analysis. We utilized descriptive statistics and conducted t-tests and ANOVA to compare mentors' prior teaching, experience with kids, computing experience, Arduino knowledge, and Making experience regarding gender and ethnicity. The results indicated that female mentors had more prior experience working with kids, while male mentors had more computing skills than their female counterparts. There are no significant differences between genders regarding previous teaching, Arduino knowledge, and Making. Further, no differences were found between Caucasian, Hispanic, Asian, and Black/ African mentors regarding these five variables.