[1]徐 怡,汤天贺,张 屹,等.基于粗糙集的高校学生实践能力因素研究[J].计算机技术与发展,2020,30(04):31-35.[doi:10. 3969 / j. issn. 1673-629X. 2020. 04. 006]
　XU Yi,TANG Tian-he,ZHANG Yi,et al.Research on Factors Affecting College Students’ Practical Ability Based on Rough Set Theory[J].COMPUTER TECHNOLOGY AND DEVELOPMENT,2020,30(04):31-35.[doi:10. 3969 / j. issn. 1673-629X. 2020. 04. 006]
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基于粗糙集的高校学生实践能力因素研究()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
30
期数:
2020年04期
页码:
31-35
栏目:
智能、算法、系统工程
出版日期:
2020-04-10

文章信息/Info

Title:
Research on Factors Affecting College Students’ Practical Ability Based on Rough Set Theory
文章编号:
1673-629X(2020)04-0031-05
作者:
徐 怡; 汤天贺; 张 屹; 刘埠远; 张添翼
安徽大学 计算机科学与技术学院,安徽 合肥 230601
Author(s):
XU Yi; TANG Tian-he; ZHANG Yi; LIU Bu-yuan; ZHANG Tian-yi
Department of Computer Science and Technology,Anhui University,Hefei 230601,China
关键词:
高校学生; 实践能力; 粗糙集理论; 属性约简; 规则提取
Keywords:
college students; practical ability; rough set theory; attribute reduction; rule extraction
分类号:
TP301
DOI:
10. 3969 / j. issn. 1673-629X. 2020. 04. 006
摘要:
学生实践能力是衡量一个高校学生综合能力的重要指标,但是由于影响学生实践能力的因素很多,没有统一的标准去衡量一个高校学生实践能力的好坏。 因此,高校师生也无法采取针对性措施提高高校学生的实践能力。为了准确分析影响高校学生实践能力的因素,设计了影响高校学生实践能力的问卷,向大一至大四学生发放,采集数据,然后采用粗糙集理论中基于信息熵的启发式属性约简算法计算各个属性的属性重要度,找出影响高校学生学习实践能力的关键因素。 再采用粗糙集理论中基于分辨矩阵的属性值约简算法,挖掘出影响高校学生实践能力的关键因素,导出规则集。通过实验验证了该规则集的有效性。研究成果可以对高校教学工作的开展提供参考,继而提高学生的实践能力。
Abstract:
Students’ practical ability is an important indicator to measure the comprehensive ability of a university student. However,there are many factors that affect students爷 practical ability,so there is no unified standard to measure the practical ability of a college student. Therefore,college teachers and students can not take targeted measures to improve the practical ability of college students. Inorder to accurately analyze the factors affecting the students’ practical ability in colleges and universities,we design a questionnaire which affects the practical ability of college students. We distribute? the questionnaire to the freshman to senior students for data collection,and then use the information entropy - based heuristic attribute reduction algorithm in rough set theory to calculate the importance of each attribute and find out the key factors that affect the learning ability of college students. Then we adopt the attribute value reduction algorithm based on the discernibility matrix in rough set theory to find out the key factors affecting the students’ practical ability and derive the rule set. The validity of the rule set is verified by experiments. The research results can provide reference for the development of teaching work in universities,and then improve students’ practical ability.

相似文献/References:

[1]蔡兴雨[],徐怡[][],程智炜[]. 基于粗糙集理论的影响高校学生成绩因素研究[J].计算机技术与发展,2016,26(11):200.
　CAI Xing-yu[],XU Yi[],CHENG Zhi-wei[]. Research on Factors Affecting College Achievement Based on Rough Set[J].COMPUTER TECHNOLOGY AND DEVELOPMENT,2016,26(04):200.
[2]李文全,徐素萍,李丹.基于云计算的高校学生综合素质测评系统研究[J].计算机技术与发展,2019,29(03):190.[doi:10.3969/ j. issn.1673-629X.2019.03.040]
　LI Wen-quan,XU Su-ping,LI Dan.Research on Evaluation System of University Student Comprehensive Quality Based on Cloud Computing[J].COMPUTER TECHNOLOGY AND DEVELOPMENT,2019,29(04):190.[doi:10.3969/ j. issn.1673-629X.2019.03.040]

更新日期/Last Update: 2020-04-10