ACHIEVING A CULTURE OF DIVERSITY, EQUITY, AND INCLUSION THROUGH PLACE-BASED INFORMAL STEM EDUCATION AND CULTURAL IMMERSION IN A HAWAIIAN COMMUNITY

2018 ◽  
Author(s):  
Prajukti Bhattacharyya ◽  
◽  
Lilinoi Grace
2021 ◽  
Author(s):  
Andrea Marshall ◽  
Zer Vue ◽  
Caroline Palavicino-maggio ◽  
Elsie C. Spencer ◽  
Heather K. Beasley ◽  
...  

Mentoring success is derived from active and respectful listening and the willingness to learn and accept opportunities for personal growth. Mentoring shapes every trainee and their career path in science, technology, engineering, and mathematics (STEM). Productive mentoring relationships cultivate rapport, stimulate moments of introspection, and provide constructive feedback. Effective mentoring in STEM allows trainees, especially underrepresented minorities (URMs), to flourish in welcoming and supportive environments. However, URM trainees often experience inadequate mentoring due to their mentors inexperience with URM groups, poor mentorship training, or a lack of understanding of their mentees journey. To promote diversity, equity, and inclusion in STEM education and research, it is essential for mentors and mentees to work together with creativity, authenticity, and networking. In this workshop, we will focus on mentees perspective on how mentors can enhance their training, professional and career development, and improve their focus. We analyzed data on feedback obtained from students interested in pursuing graduate education who attended a recent workshop. Our results show that despite low initial expectations for the workshop, many students were satisfied with the knowledge they learned. The future of increasing the URM representation in STEM lies in providing adequate community support and mentorship throughout the careers of URM professionals.


Author(s):  
Haider Ali Bhatti

Research in undergraduate STEM education often requires the collection of student demographic data to assess outcomes related to diversity, equity, and inclusion. Unfortunately, this collection of demographic data continues to be constrained by socially constructed categories of race and ethnicity, leading to problematic panethnic groupings such as “Asian” and “Latinx.” Furthermore, these all-encompassing categories of race and ethnicity exasperate the problematic “underrepresented minority” (URM) label when only specific races and ethnicities are categorized as URMs.


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