Research of nursing courses and students' quality based on data mining and statistics
10.3760/cma.j.issn.2095-1485.2015.04.007
- VernacularTitle:基于数据挖掘及统计学的护理课程与素质研究
- Author:
Honglin LI
- Publication Type:Journal Article
- Keywords:
Statistics;
Data mining;
Course analysis;
Effect on quality;
Teaching application
- From:
Chinese Journal of Medical Education Research
2015;14(4):349-355
- CountryChina
- Language:Chinese
-
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 different department and improve students' study efficiency.
