Measurement of Mentorship Competency Items for Postdoctoral Mentors in Engineering and Computer Science Disciplines

Matthew Bahnson, Monique Ross, Catherine G.P. Berdanier

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Postdoctoral training increasingly represents an essential step in advanced research careers in engineering and computer science; however, little is known about postdoctoral mentorship practices, competencies, and needs. The scales evaluated here present an opportunity to investigate global and specific aspects of mentorship competency in postdoctoral engineering and computer science training and education. The global construct of mentorship measured may help assess overall mentor capabilities for postdoctoral mentorship and indicate general needs for mentorship training. Similarly, a global construct assessment from postdoctoral trainees provides an alternative perspective on issues postdocs experience with their mentors. At the same time, individual items may be better used to assess more specific aspects of mentorship capabilities and needs, such as communication or professional development. The mentorship competency assessments for supervisors (MCA-ECS.S) and postdoctoral trainees (MCA-ECS.P) provide mentors and educational institutions opportunities to assess mentor competencies as self-evaluation and mentee-evaluation to understand better the education and training needs of postdoctoral mentors and trainees beyond the structure of graduate education systems.

Original languageEnglish (US)
Title of host publication2023 IEEE Frontiers in Education Conference, FIE 2023 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350336429
DOIs
StatePublished - 2023
Event53rd IEEE ASEE Frontiers in Education International Conference, FIE 2023 - College Station, United States
Duration: Oct 18 2023Oct 21 2023

Publication series

NameProceedings - Frontiers in Education Conference, FIE
ISSN (Print)1539-4565

Conference

Conference53rd IEEE ASEE Frontiers in Education International Conference, FIE 2023
Country/TerritoryUnited States
CityCollege Station
Period10/18/2310/21/23

All Science Journal Classification (ASJC) codes

  • Software
  • Education
  • Computer Science Applications

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