概括
大学排名可能是有害的,优先考虑偏见的指标而不是真正的教育价值. 专注于社区满意度和教育质量的内部评估为评估高等教育机构提供了更有效和更道德的方法.
科学领域:
- 高等教育研究 高等教育研究
- 学术评估学术评估
- 学术传播学术交流
背景情况:
- 大学排名为竞争提供了激励,但也带来了重大缺点.
- 当前的排名系统通常依赖于偏见的指标,如引用和期刊影响因素,可能会误解学术工作的真实价值.
- 短期收益和经济驱动的方法可能会掩盖长期的教育目标和社会贡献.
研究的目的:
- 批判性地评估当前大学排名系统的优缺点.
- 突出与偏见指标和年度评估相关的局限性和潜在危害.
- 为大学评价提出一种替代性,更有效,更道德的方法.
主要方法:
- 分析现有的大学排名方法及其基础指标.
- 批评依赖量化,往往偏见的指标,如引用和期刊影响因素.
- 内部评估模型的概念化侧重于定性因素和利益相关者的满意度.
主要成果:
- 大学排名可以激励不道德的做法,并优先考虑肤浅的指标,而不是实质性的教育和研究质量.
- 年度排名标准对于捕捉研究和教育的长期影响是不切实际的.
- 偏见,财务驱动的排名系统对高等教育的完整性构成重大风险.
结论:
- 大学排名系统需要重新评估或放弃,以减轻偏见和经济动机的方法造成的伤害.
- 衡量社区满意度和教育质量的内部评估模型为评估大学提供了更有效和公平的方法.
- 优先考虑学生的学习,知识进步和社会需求应该是核心重点,而不是基于有缺陷的指标的排名.
相关概念视频
Reliability and Validity
12.7K
Reliability and validity are two important considerations that must be made with any type of data collection. Reliability refers to the ability to consistently produce a given result. In the context of psychological research, this would mean that any instruments or tools used to collect data do so in consistent, reproducible ways.
12.7K
Ranks
220
Unlike parametric methods, nonparametric statistics are ideal for nominal and ordinal data, requiring fewer assumptions about the population's nature or distribution. This makes nonparametric methods easier to apply and interpret, as they do not depend on parameters like mean or standard deviation. One common approach in nonparametric analysis is to sort data according to a specific criterion. For instance, we might arrange weather data from hottest to coldest days in a month or rank cities...
220
Review and Preview
6.9K
In statistics, several tools are used to interpret the data. Measures of central tendency represent the characteristics of the data, such as mean, median, and mode. Additionally, measures of variance like standard deviation and range are used to find the spread of data from the mean. Relative standing measures the distance between data locations. Commonly used measures of relative standings are percentile, z score, and quartiles.
Percentiles are a type of fractile that partition data into...
Percentiles are a type of fractile that partition data into...
6.9K
Friedman Two-way Analysis of Variance by Ranks
134
Friedman's Two-Way Analysis of Variance by Ranks is a nonparametric test designed to identify differences across multiple test attempts when traditional assumptions of normality and equal variances do not apply. Unlike conventional ANOVA, which requires normally distributed data with equal variances, Friedman's test is ideal for ordinal or non-normally distributed data, making it particularly useful for analyzing dependent samples, such as matched subjects over time or repeated measures...
134
SI Units: 2019 Redefinition
1.4K
Measurement is an indispensable part of analytical chemistry. The result of measurement helps quantify a substance's physical property and compare it with the physical property of another substance. Each measurement comprises two components - a number indicating the magnitude and a unit of measurement as a standard for comparison. Further, the same quantity can be measured using different units of measurement, which leads to differences in magnitude.
A standard set of units has been defined...
A standard set of units has been defined...
1.4K
Wilcoxon Rank-Sum Test
139
The Wilcoxon rank-sum test, also known as the Mann-Whitney U test, is a nonparametric test used to determine if there is a significant difference between the distributions of two independent samples. This test is designed specifically for two independent populations and has the following key requirements:
139


