Full Text Journal Articles from
Abstract 35862583


Find full text journal articles

Evaluation of a Culturally Responsive Mentorship Education Program for the Advisers of Howard Hughes Medical Institute Gilliam Program Graduate Students.

PMID: 35862583 (view PubMed database entry)
DOI: 10.1187/cbe.21-11-0321 (read at publisher's website )

Christine Pfund, Fátima Sancheznieto, Angela Byars-Winston, Sonia Zárate, Sherilynn Black, Bruce Birren, Jenna Rogers, David J Asai,

Effective mentorship is critical to the success of trainees in research career pathways, significantly impacting their research productivity, academic and research self-efficacy, and career satisfaction. Research faculty may be unaware of or unprepared to address mentor-mentee dynamics in mentoring relationships, especially those that go beyond traditional scientific skill development. Addressing mentorship dynamics can be even more challenging for mentors from well-represented backgrounds working with mentees from historically excluded racial/ethnic groups. The Howard Hughes Medical Institute supports programmatic interventions, like the Mentorship Skills Development (MSD) course, an innovative program that aims to advance the mentorship competencies and cultural diversity awareness of mentors. Between 2015 and 2020, more than 200 faculty mentors participated in the MSD. Quantitative and qualitative data reveal significant gains in mentorship skills and cultural awareness, with mentors reporting increases in their confidence to have conversations around race and culture with their mentees. More than 85% reported actual or intended changes to their cultural responsiveness or mentorship behaviors. Importantly, behavioral changes were also observed by their mentees. These data indicate that culturally responsive mentorship education can increase knowledge and efficacy in effective mentorship practices and improve mentorship experiences of both mentors and mentees.

CBE Life Sci Educ (CBE life sciences education)
[2022, 21(3):ar50]

Cited: 0 times

AltMetric Statistics



0.4279 s