Research of nursing courses and students' quality based on data mining and statistics

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Research of nursing courses and students' quality based on data mining and statistics

更新时间：2024-09-19

- Research of nursing courses and students' quality based on data mining and statistics
- Vol. 14, Issue 4, Pages: 349-355(2015)
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- Published：2015，
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Research of nursing courses and students' quality based on data mining and statistics. [J]. 14(4):349-355(2015)
DOI：

Research of nursing courses and students' quality based on data mining and statistics. [J]. 14(4):349-355(2015) DOI：

摘要

采用统计学的回归分析、因子分析和数据挖掘的关联规则、决策树CART、CHAID、QUEST算法4种方法分析高校护理专业学生科目成绩，综合研究护理课程关联性以及课程对学生素质的影响。统计学与数据挖掘方法相结合，取长补短，能更深入发现科目潜在的关联性、不同科目对不同层次学生的影响度等；并能进一步帮助教务人员科学设置课程，加强科任教师交流沟通，促进学生提高学习效率

Abstract

Four methods of statistics and data mining such as regression analysis

principal component analysis

association rules

and cart

chaid

quest decision tree algorithms have been applied to analyze the college nursing students' scores to comprehensively study the nursing course correlation as well as the impact on the students' quality. Combination methods of statistics and data mining

which has complementary advantages

can discover more information such as courses correlation and effect degree of courses on students of different levels etc. Besides

it helps educational administration personnel to set curriculum scientifically

strengthen the communication among the teachers from dif-ferent department and improve students' study efficiency.

关键词

统计学　数据挖掘　课程分析　素质影响　教学应用

Keywords

Statistics　Data mining　Course analysis　Effect on quality　Teaching ap-plication

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Related Institution

哈尔滨医科大学卫生统计教研室

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