(Mis)alignments between postdoctoral and supervisors' perceptions of mentorship competencies in engineering and computer science

IF 3.9 2区 工程技术 Q1 EDUCATION & EDUCATIONAL RESEARCH
Matthew Bahnson, Monique Ross, Catherine G. P. Berdanier
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引用次数: 0

Abstract

Background

Postdoctoral training holds an increasingly important place in preparation for leading academic and research positions. While little empirical research has described postdoctoral training beyond the sciences, across all fields, “misaligned expectations” are often touted as a key source of postdoctoral strife.

Purpose/Hypothesis

This article describes mentorship competency beliefs within engineering and computer science fields, which increasingly engage in postdoctoral training.

Design/Method

An embedded mixed-methods design was used to quantitatively identify mentorship profiles from survey data using latent profile analysis (LPA) from a sample of n = 118 postdoctoral scholars and n = 165 postdoctoral supervisors. Qualitative thematic analysis of interviews with n = 29 postdoctoral scholars and n = 20 postdoctoral supervisors was used to identify meaning in the differences between quantitative profiles. The combination of LPA with thematic analysis enabled the triangulation of distinct postdoctoral mentorship profile definitions.

Results

LPA identified six postdoctoral fellow profiles and four supervisor profiles, which became clearly definable through thematic analysis. Postdoc profiles included Technical Manager, Autonomy Focused Advisor, Stretched Mentor, Well-Rounded Mentor, Exemplar Mentor, and Leader-Mentor, while supervisor profiles included Autonomous Mentor, Reflective Mentor, Research Lab Mentor, and Confident Leader-Mentor. Some of these are aligned, but several are not, giving insight into the phenomenon of “misaligned expectations” in postdoctoral literature.

Conclusions

The mentorship profiles illustrate the misalignment in expectations, which leads to negative mentorship experiences for many postdoctoral scholars.

Abstract Image

(博士后和导师对工程学和计算机科学领域导师能力的看法(不)一致
博士后培训在准备担任学术和研究领导职务的过程中占据着越来越重要的地位。本文描述了工程和计算机科学领域的导师能力信念,这些领域越来越多地参与博士后培训。本文采用嵌入式混合方法设计,利用潜在特征分析(LPA)从 n = 118 名博士后学者和 n = 165 名博士后导师的调查数据中定量识别导师能力特征。对 n = 29 名博士后学者和 n = 20 名博士后导师的访谈进行了定性主题分析,以确定定量特征之间差异的意义。LPA 与专题分析相结合,对不同的博士后导师形象定义进行了三角测量。LPA 确定了六种博士后研究员形象和四种导师形象,通过专题分析,这些形象得到了明确定义。博士后简介包括技术经理人、自主型顾问、伸展型导师、全面型导师、模范型导师和领导型导师,而导师简介包括自主型导师、反思型导师、研究实验室导师和自信型领导型导师。其中一些是一致的,但也有一些是不一致的,这让我们对博士后文献中的 "期望错位 "现象有了深入的了解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Engineering Education
Journal of Engineering Education 工程技术-工程:综合
CiteScore
12.20
自引率
11.80%
发文量
47
审稿时长
>12 weeks
期刊介绍: The Journal of Engineering Education (JEE) serves to cultivate, disseminate, and archive scholarly research in engineering education.
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