TY - GEN
T1 - Measurement of Mentorship Competency Items for Postdoctoral Mentors in Engineering and Computer Science Disciplines
AU - Bahnson, Matthew
AU - Ross, Monique
AU - Berdanier, Catherine G.P.
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - 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.
AB - 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.
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U2 - 10.1109/FIE58773.2023.10343172
DO - 10.1109/FIE58773.2023.10343172
M3 - Conference contribution
AN - SCOPUS:85183004869
T3 - Proceedings - Frontiers in Education Conference, FIE
BT - 2023 IEEE Frontiers in Education Conference, FIE 2023 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 53rd IEEE ASEE Frontiers in Education International Conference, FIE 2023
Y2 - 18 October 2023 through 21 October 2023
ER -