Bellamy Scarlett L, Sullivan Lisa M
Department of Biostatistics, Boston University School of Public Health, Boston, MA, United States.
Front Public Health. 2025 Jun 11;13:1612530. doi: 10.3389/fpubh.2025.1612530. eCollection 2025.
Doctoral programs in science, technology, engineering, and mathematics (STEM) education often include qualifying exams as a central component of the curriculum. While these exams are designed to assess a student's knowledge and potential to conduct independent research as part of the culminating dissertation phase of their studies, they can also inadvertently perpetuate structural biases and barriers for underrepresented groups. Biostatistics programs have increasingly focused on efforts to address diversity. While some programs had long-standing initiatives, others began following the summer of 2020. The momentum following some of these efforts has been disrupted following the recent Supreme Court ruling around the college admissions process. In response to the Association of Schools and Programs of Public Health's Framing the Future 2030 (ASPPH FTF2030) call to action, most specifically to "create and support inclusive and anti-racist teaching, learning, and working environments," we propose examining the structure of the written qualifying examination to mitigate potential disparities in student success in doctoral training programs including the format of the exams, the evaluation criteria, and the support available to students as they prepare for the exam. In this paper, we briefly review the history and founding of our discipline, present data on the continuing under-representation of historically marginalized groups in our field, review the basic structure and purported purpose of the qualifying exam, and finally we propose several recommendations to address this potential structural barrier and encourage others to engage in critical reflection of their curricular requirements to assess whether they promote inclusive excellence.
科学、技术、工程和数学(STEM)教育领域的博士项目通常将资格考试作为课程的核心组成部分。虽然这些考试旨在评估学生的知识以及作为其研究最终论文阶段一部分进行独立研究的潜力,但它们也可能无意中使代表性不足的群体面临持续的结构性偏见和障碍。生物统计学项目越来越注重解决多样性问题。一些项目长期以来就有相关举措,而其他项目则在2020年夏天之后才开始。在最近最高法院关于大学录取过程的裁决之后,其中一些努力的势头受到了干扰。为响应公共卫生学校与项目协会(ASPPH)的《构建2030年未来》(ASPPH FTF2030)行动呼吁,最具体的是“创建并支持包容和反种族主义的教学、学习和工作环境”,我们建议审视书面资格考试的结构,以减少博士培训项目中学生成功方面的潜在差异,包括考试形式、评估标准以及学生备考时可获得的支持。在本文中,我们简要回顾我们学科的历史和创立情况,呈现关于历史上被边缘化群体在我们领域持续代表性不足的数据,审视资格考试的基本结构和宣称的目的,最后我们提出若干建议来解决这一潜在的结构性障碍,并鼓励其他人对其课程要求进行批判性反思,以评估这些要求是否促进了包容性卓越。