基于大数据技术的高校计算机专业教学质量评价系统  

Teaching Quality Evaluation System for Computer Majors in Colleges and Universities Based on Big Data Technology

作　　者：罗丽 LUO Li(Nanchang Normal College of Applied Technology,Nanchang Jiangxi 330013,China)

机构地区：[1]南昌应用技术师范学院,江西南昌330013

出　　处：《信息与电脑》2022年第11期99-101,共3页Information & Computer

基　　金：南昌应用技术师范学院教学改革研究课题“计算机专业评价机制的研究与专业创新”(项目编号:NYSJG2124)。

摘　　要：为了提高计算机专业教学质量评价的准确性,提出了基于大数据技术的高校计算机专业教学质量评价系统。通过构建3层浏览器/服务器(Browser/Server,B/S)架构,有效评价高校计算机专业的教学质量。硬件结构设计主要包括评价模块、教师模块以及管理员模块,且各功能模块间协调配合。软件部分主要是利用模糊评价法设计数据库,确定综合评价指标,以降低教学质量的评价偏差。通过模糊评价法补充教学信息数据缺失值并剔除噪声数据,进而归一化处理教学质量评价信息数据,实现教学质量准确评价。实验结果表明,设计的教学质量评价系统能够准确地完成教学评价,具有实际应用价值。In order to improve the accuracy of teaching quality evaluation of computer majors,a teaching quality evaluation system for computer majors in colleges and universities based on big data technology is proposed.Hardware structure design evaluation module,teacher module and administrator module,coordination and cooperation between functional modules.The software part uses the fuzzy evaluation method to complete the database design,determines the comprehensive evaluation index to reduce the teaching quality evaluation deviation,supplements the missing value of the teaching information data and eliminates the noise data through the fuzzy evaluation method,and normalizes the teaching quality evaluation information data to realize the accurate evaluation of the teaching quality.The experimental results show that the designed teaching quality evaluation system can accurately complete the teaching evaluation and has practical application value.

关 键 词：浏览器/服务器(B/S)架构 教学质量 模糊评价法 

分 类 号：G642.0[文化科学—高等教育学] TP311.5[文化科学—教育学]