Using Artificial Intelligence to Develop a Mentorship Map

Academic mentorship is essential for faculty development, yet mid-career researchers have limited resources. This study explores AI-assisted mentorship models using biosketch analysis, AI mapping, and human expertise to enhance mentor selection. Tools like Google NotebookLM and Mural streamlined cod...

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Bibliographic Details
Published inThe journal of faculty development Vol. 39; no. 2; pp. 76 - 78
Main Authors Conner, Laneshia, Scoresby, Kristel, Watts, Keith J.
Format Journal Article
LanguageEnglish
Published Madison Magna Publications 01.05.2025
Magna Publications, Inc
Subjects
Academic careers
Analysis
Artificial Intelligence
Career Development
Career development planning
Coding
Collaboration
Data Analysis
Data collection
Educational Development
Faculty Development
Grants
Guidance
Higher education
Human subjects
Mentors
Mentorship
Mid-Career Faculty
Mural painting and decoration
Qualitative research
Research Assistants
Research Efficiency
Social work
Software
Study Guides
Women Faculty
Online AccessGet full text
ISSN2153-1900
2153-1919

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Summary:Academic mentorship is essential for faculty development, yet mid-career researchers have limited resources. This study explores AI-assisted mentorship models using biosketch analysis, AI mapping, and human expertise to enhance mentor selection. Tools like Google NotebookLM and Mural streamlined coding, visualization, and theme identification, improving alignment with mentees' research goals. Findings suggest AI can optimize mentorship processes, offering broader applications for research efficiency and faculty development. Despite minor limitations, AI provides a scalable framework for enhancing academic mentorship.
Bibliography:2153-1900(20250501)39:2L.76;1-
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ISSN:2153-1900
2153-1919