学生知情权数据在社区大学绩效评估中的价值。CCRC摘要第34号。

Thomas R. Bailey, P. Crosta, Davis Jenkins
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引用次数: 2

摘要

传统上,评判社区大学的标准是他们的入学人数和为各种各样的学生提供高等教育的能力。然而,最近,州和联邦政策制定者越来越关注学生的成绩,一些州甚至开始考虑将社区大学的资助与他们在学生成绩衡量方面的表现挂钩。1990年,国会通过了《学生知情权法案》和《校园安全法》。它要求所有大学向国家教育统计中心(NCES)报告毕业率,以便学生获得联邦财政援助。这些学生知情权毕业率是高等教育综合数据系统(IPEDS)的一部分。SRK比率是全国几乎所有本科院校(包括社区学院)唯一可用的绩效衡量标准,但批评者坚称,这些比率在几个重要方面低估了社区学院的成功。本摘要总结了社区学院研究中心(CCRC)的一项研究,该研究通过分析佛罗里达州28所社区学院学生的数据,调查了社区学院SRK率的性质和有效性。它试图确定这些比率是否提供了有用的信息,可以指导教育工作者和政策制定者努力提高社区大学的表现,或者这些比率是否包含严重到足以否定其有用性的偏见。本简报还建议如何改进确定利率的过程。
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The Value of Student Right-to-Know Data in Assessing Community College Performance. CCRC Brief Number 34.
Traditionally, community colleges were judged on their number of enrollments and their ability to provide postsecondary education to a wide variety of students. Recently, however, state and federal policymakers have become increasingly concerned with student outcomes, and some states have even begun to consider linking the funding of community colleges to their performance on student outcome measures. In 1990, Congress passed the Student Right-toKnow (SRK) and Campus Security Act. It requires that all colleges report graduation rates to the National Center for Education Statistics (NCES) in order for their students to receive federal financial aid. These Student Right-to-Know graduation rates are part of the Integrated Postsecondary Education Data System (IPEDS). The SRK rates are the only performance measures available for virtually every undergraduate institution in the nation, including community colleges, but critics assert that the rates understate the success of community colleges in several important ways. This Brief summarizes a study by the Community College Research Center (CCRC) that investigated the nature and validity of the SRK rates for community colleges by analyzing data on students attending Florida’s 28 community colleges. It sought to determine whether the rates provide useful information that can guide educators and policymakers working to improve the performance of community colleges, or whether the rates contain biases serious enough to negate their usefulness. This Brief also suggests how the process of determining the rates might be improved.
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