基于模糊逻辑的学生成绩评价元分析

Q1 Earth and Planetary Sciences
N. Amelia, A. Abdullah, Y. Mulyadi
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引用次数: 27

摘要

评估系统一般要求透明和客观,以抽象性评估学生的表现。模糊逻辑方法是降低这种不确定性的最佳方法之一。因此,我们进行了一项文献回顾,以研究模糊逻辑在评估不同学生表现中的应用。采用系统评价和元分析方法(PRISMA)的首选报告项目作为进行系统评价和元分析的基本方法。被审查的文章是2008年至2018年的38篇。所有文章根据作者、出版年份、期刊或会议类型、样本量、上下文、数据类型、模糊技术和基本发现进行分类。本研究结果显示模糊逻辑在学生评量上有正面的效果。综上所述,本综述通过确定学生成绩评估方面的研究需求,为进一步的研究提供了适当的参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Meta-analysis of Student Performance Assessment Using Fuzzy Logic
The assessment system generally requires transparency and objectivity to assess student performance in terms of abstraction. Fuzzy logic method has been used as one of the best methods to reduce this uncertainty. Therefore, we have conducted a literature review to examine the application of fuzzy logic in assessing the performance of different students. The Preferred Reporting Items for the Systematics Review and Meta-Analysis Method (PRISMA) were used as the basic method for conducting systematic reviews and meta-analyses. The articles reviewed were 38 articles from 2008 until 2018. All articles were classified based on the author, year of publication, type of journal or conference, sample size, context, data type, fuzzy technique, and basic findings. The results of this review show the positive effects of using fuzzy logic on student performance assessment. Overall, this review provides an appropriate reference for further research by identifying research needs in aspects of student performance assessment.
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来源期刊
Indonesian Journal of Science and Technology
Indonesian Journal of Science and Technology Engineering-Engineering (all)
CiteScore
11.20
自引率
0.00%
发文量
10
审稿时长
16 weeks
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