Schudde Lauren, Meiselman Akiva Yonah
University of Texas at Austin, Educational Leadership and Policy, Austin, USA.
Community Coll J Res Pract. 2020;44(8):623-628. doi: 10.1080/10668926.2019.1616635. Epub 2019 May 23.
Student placement test records, course enrollments, and other student-level data collected by community colleges are vital for evaluating the outcomes of students in developmental education (dev-ed) courses. Researchers and policymakers rely on this information to examine the impact of existing programs and assess ongoing reforms to dev-ed-the accuracy of state administrative data is critical to those tasks. In this study, we examine math placement records in a statewide administrative data set to understand how test records provided by colleges in the state aligned with student course enrollment patterns. We highlight systematic data reporting problems, where many students lacked test scores and test exemption records necessary for policymakers and researchers to determine if they enrolled in the appropriate coursework for their needs. We also found that a non-negligible proportion of students enrolled in dev-ed math-10%-did not require remediation due to exemption status or passing placement test scores. We conclude with a discussion of the pressing need for accuracy in data reporting, as up-to-date, high quality student-level data are essential to evaluate ongoing reforms to developmental education.
社区学院收集的学生安置测试记录、课程注册信息及其他学生层面的数据,对于评估发展教育(dev-ed)课程的学生成果至关重要。研究人员和政策制定者依靠这些信息来检验现有项目的影响,并评估发展教育正在进行的改革——州行政数据的准确性对于这些任务至关重要。在本研究中,我们检查了一个全州范围行政数据集中的数学安置记录,以了解该州各学院提供的测试记录与学生课程注册模式如何匹配。我们突出了系统性的数据报告问题,即许多学生缺少政策制定者和研究人员用以确定他们是否注册了满足其需求的适当课程作业所需的测试成绩和测试豁免记录。我们还发现,有不可忽视比例的学生注册了发展教育数学课程——10%——由于豁免状态或通过安置测试成绩而不需要补习。我们最后讨论了数据报告准确性的迫切需求,因为最新、高质量的学生层面数据对于评估发展教育正在进行的改革至关重要。