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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| Published in | The journal of faculty development Vol. 39; no. 2; pp. 76 - 78 |
|---|---|
| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
Madison
Magna Publications
01.05.2025
Magna Publications, Inc |
| Subjects | |
| Online Access | Get full text |
| ISSN | 2153-1900 2153-1919 |
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| Abstract | 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. |
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| AbstractList | 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. 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. |
| Audience | Professional Academic |
| Author | Watts, Keith J. Scoresby, Kristel Conner, Laneshia |
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| Copyright | COPYRIGHT 2025 Magna Publications, Inc. Copyright Magna Publications 2025 |
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| SubjectTerms | 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 |
| Title | Using Artificial Intelligence to Develop a Mentorship Map |
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