基于数据挖掘的高校教学质量评估系统研究  

The research to the system of teaching quality evaluation based on data mining in Colleges and Universities

作　　者：许丽卿[1] 

机构地区：[1]福建师范大学协和学院,福建福州350117

出　　处：《信息技术与信息化》2016年第8期79-82,共4页Information Technology and Informatization

基　　金：福建省教育厅2010年A类科技研究项目资助(JA10287):基于云计算环境下并行调度算法的研究

摘　　要：随着我国高等教育的发展,高校教学、管理工作中出现很多新的问题和挑战。高校招生人数增加的同时,毕业生素质下降,工作能力受到质疑,高校教学质量成为社会关注的焦点,因此对教学质量进行有效评价显得尤为重要。本文阐述了基于数据挖掘技术,通过改进的Apriori算法,建立教学质量评估模型,对学生和教师的各种信息进行分析,得到相对准确的教学质量评估结果。With the development of higher education in our country, there are many new problems and challenges in the teaching and management in Colleges and universities. College enrollment increased currently, but the quality of graduates declined, the abilily to work is questioned and the quality of teaching in Colleges and universities has become the focus of attention of society. So it is very important to evaluate the quality of teaching effectively. In this paper, through the improvement of Apriori algorithm, w e establish teaching quality evaluation model based on data mining technology, all kinds of information for students and teachers wer e analyzed, relatively accurate teaching quaJity evaluation results . The model can analyze the information of students a n d teachers, and get the result of the relatively accurate evaluation of teaching quality.

关 键 词：数据挖掘 APRIORI 教学质量评估 

分 类 号：G642.0[文化科学—高等教育学] TP311.13[文化科学—教育学]