高校教学质量综合评价算法研究及实现  

Research and Implementation of Comprehensive Evaluation Algorithms for Teaching Quality in Colleges and Universities

作　　者：郭欣[1] 章鸣嬛[1] 吴良 陈瑛[1] GUO Xin;ZHANG Ming-huan;WU Liang;CHEN Ying(Research Center of Big Data Analysis and Process,School of Information Science and Technology,Shanghai Sanda University,Shanghai 201209,China;Teaching Quality Management Department,Shanghai Sanda University,Shanghai 201209,China)

机构地区：[1]上海杉达学院信息科学与技术学院大数据分析与处理研究中心,上海201209 [2]上海杉达学院教学质量管理处,上海201209

出　　处：《计算机与现代化》2019年第6期121-126,共6页Computer and Modernization

基　　金：教育部高教司协同育人项目(201702011023);上海市属高校应用型本科试点专业建设(Z30011.18.005);上海市民办高校重点科研项目(2016-SHNGE-01ZD)

摘　　要：针对高校教学质量评价具有模糊性、动态性,且教学质量评价方法中定性的多、定量的少,专业的多、简易操作的少等问题,本文对平均值综合评价算法和AHP模糊综合评价算法进行介绍,并用Python进行实现,最后对2种算法进行比较分析。结果表明,AHP模糊综合评价算法更适合应用到教学管理中,可以提高教学质量评价的信度和效率,作为一种通用的方法,可推广应用到其他类型的综合评价中去。The evaluation of teaching quality in colleges and universities is fuzzy and dynamic,and there are more qualitative and less quantitative methods,more specialties and less easy operations in the evaluation methods of teaching quality.Aiming at the above problems,this paper introduces the average comprehensive evaluation algorithm and AHP fuzzy comprehensive evaluation algorithm.Then we use Python to implement them.Finally,the two algorithms are compared and analyzed.The results show that AHP fuzzy comprehensive evaluation algorithm is more suitable for teaching management.It can improve the reliability and efficiency of teaching quality evaluation.As a general method,it can be popularized and applied to other types of comprehensive evaluation.

关 键 词：教学质量 综合评价 AHP 模糊 算法 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]