最安全的赌注:识别和评估教师选择的风险

IF 3.5 1区 教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH
K. O’Meara, Lindsey L. Templeton, Damani K. White-Lewis, Dawn Culpepper, Julia L. Anderson
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引用次数: 0

摘要

减轻教师招聘过程中的偏见的努力在文献中有充分的记录。然而,在许多STEM领域雇用少数族裔和白人女性仍然存在重大障碍。包容性招聘的一个未被充分报道的障碍是风险评估。在行为经济学、社会心理学和决策学理论的指导下,我们研究了五个教师搜索委员会的内部运作,以了解委员会成员如何识别和评估风险,并特别关注与社会偏见混杂的风险评估。委员会确定并评估了五种风险,包括候选人兴趣、候选人专业知识、候选人能力、候选人合作以及搜索过程本身的时机和监督。我们讨论了风险识别和评估对有效和包容性搜索的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Safest Bet: Identifying and Assessing Risk in Faculty Selection
Efforts to mitigate bias in faculty hiring processes are well-documented in the literature. Yet, significant barriers to the hiring of racially minoritized and White women in many STEM fields remain. An underreported barrier to inclusive hiring is assessment of risk. Guided by theory from behavioral economics, social psychology, and decision-making, we examine the inner workings of five faculty search committees to understand how committee members identified and assessed risk with particular attention to assessments of risk that became intermingled with social biases. Committees identified and assessed five risks, including candidate interest, candidate disciplinary expertise, candidate competence, candidate collegiality, and the timing and oversight of the search process itself. We discuss implications of risk identification and assessment for effective and inclusive searches.
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来源期刊
American Educational Research Journal
American Educational Research Journal EDUCATION & EDUCATIONAL RESEARCH-
CiteScore
8.70
自引率
0.00%
发文量
19
期刊介绍: The American Educational Research Journal (AERJ) is the flagship journal of the American Educational Research Association, featuring articles that advance the empirical, theoretical, and methodological understanding of education and learning. It publishes original peer-reviewed analyses that span the field of education research across all subfields and disciplines and all levels of analysis. It also encourages submissions across all levels of education throughout the life span and all forms of learning. AERJ welcomes submissions of the highest quality, reflecting a wide range of perspectives, topics, contexts, and methods, including interdisciplinary and multidisciplinary work.
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