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作 者:徐怡[1] 汤天贺 张屹 刘埠远 张添翼 XU Yi;TANG Tian-he;ZHANG Yi;LIU Bu-yuan;ZHANG Tian-yi(Department of Computer Science and Technology,Anhui University,Hefei 230601,China)
机构地区:[1]安徽大学计算机科学与技术学院,安徽合肥230601
出 处:《计算机技术与发展》2020年第4期31-35,共5页Computer Technology and Development
基 金:国家自然科学基金(61402005);安徽省自然科学基金(1308085QF114);安徽省高等学校省级自然科学基金(KJ2013A015);安徽大学计算智能与信号处理教育部重点实验室课题项目资助(2014);国家级大学生创新训练项目(201810357071)。
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。Students’ practical ability is an important indicator to measure the comprehensive ability of a university student. However,there are many factors that affect students’ 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. In order 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.
关 键 词:高校学生 实践能力 粗糙集理论 属性约简 规则提取
分 类 号:TP301[自动化与计算机技术—计算机系统结构]
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