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Using Learning Outcome Measures to assess Doctoral Nursing Education
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Reverse Mentoring in Nursing Education.

Cheryl Williams1

  • 1Author Affiliation: Professor of Nursing, Graduate Nursing, Salem State University, Salem, Massachusetts.

Nurse Educator
|October 2, 2023
PubMed
Summary
This summary is machine-generated.

Reverse mentoring offers a promising strategy to address diversity and inclusion challenges in nursing education. This approach may help bridge generational and cultural gaps, improving retention for underrepresented students.

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Area of Science:

  • Nursing Education
  • Workforce Diversity
  • Mentorship Strategies

Background:

  • Nurse educators face challenges in preparing diverse students with varying sociocultural and generational backgrounds.
  • Historically disenfranchised students experience a persistent decline in completing nursing programs, potentially due to diversity-related divides.
  • Reverse mentoring, a novel adaptation of traditional mentoring, reverses roles to potentially mitigate intergenerational and diverse misconceptions.

Approach:

  • A literature review was conducted to explore existing research on reverse mentoring within nursing education.
  • The review identified a scarcity of articles specifically addressing reverse mentoring in this academic context.

Key Points:

  • Reverse mentoring has proven successful in various corporate settings (e.g., Fortune 500 companies).
  • This success suggests potential applicability and promise for reverse mentoring within nursing education.
  • Exploring reverse mentoring can uncover strategies to clarify and reduce biases and barriers in nursing education.

Conclusions:

  • Integrating strategies that embrace diversity, reduce bias, and remove learning barriers is crucial for preparing a diverse nursing workforce.
  • Reverse mentoring presents a viable strategy to enhance inclusivity and support diverse learners in nursing programs.
  • Further exploration of reverse mentoring in nursing education is recommended to develop effective implementation methods.