摘要
课堂教学质量评价是高校教学评价的重要一环,是衡量教师教学水平的重要指标。KDD技术可以通过对大量不规则数据的挖掘从而发现潜在有用的数据和知识。运用KDD技术中的数据挖掘,通过回归分析对课堂教学质量评价基础数据进行挖掘,可以得到具有一定价值的规律和知识,从而有针对性的指导和改进教学质量。
As an important part of the teaching evaluation in universities, the evaluation of classroom teaching quality is a crucial index to measure the teachers＇ teaching level. By studying a large number of irregular data, KDD helps us gain potential and valuable knowledge. What＇s more, through the application of data mining of KDD and regression analysis, the basic data about the evaluation of classroom teaching quality are further explored to seek useful laws and knowledge, which can guide and improve our teaching with pertinence.
出处
《黄山学院学报》
2014年第3期131-133,共3页
Journal of Huangshan University
基金
安徽省教育厅教学研究项目(2013jyxm288)
上海市信息安全综合管理技术重点实验室开放课题(AGK2013002)
关键词
KDD技术
数据挖掘
回归
课堂教学质量评价
KDD technology
data mining, regression analysis
classroom teaching quality evaluation
