摘要
基于深度学习算法设计教学质量评价系统,系统自动生成教师教学质量评价报告,分析教学过程中存在的问题,给出优化建议。教学质量评价系统包括用户管理、网上评价、数据管理、评价结果查询、教学质量分析5个单元,用户进入系统后为教学质量打分。基于教学质量评价指标体系内容,卷积神经网络学习专家教学质量评价样本,构建卷积神经网络教学质量评价模型。将教学质量评价测试样本输入模型,模型输出结果即为教学质量评价分析结果,主要分析教学存在的问题,提出改进建议。系统可统计不同学科教学质量评价情况,统计不同学科教学质量占比情况,智能化程度较高,值得推广使用。
The teaching quality evaluation system is designed based on the deep learning algorithm.The system can automatically generate teachers′teaching quality evaluation report,analyze the problems existing in the teaching process and give optimization suggestions.The teaching quality evaluation system includes 5 units,named user management,online evaluation,data management,evaluation result query and teaching quality analysis.The user scores the teaching quality after entering the system.On the basis of the content of teaching quality evaluation index system and the teaching quality evaluation samples of convolutional neural network learning experts,a convolutional neural network teaching quality evaluation model is constructed.Input the teaching quality evaluation test sample into the model,the output result of the model is the teaching quality evaluation and analysis results,which mainly analyzes the problems existing in the teaching.In addition,the suggestions for improvement is put forward.The system can count the evaluation of teaching quality of different subjects and the teaching quality proportion of different subjects.It is highly intelligent and worth popularizing.
作者
赵敏
詹玮
ZHAO Min;ZHAN Wei(School of Data Science and Information Engineering,Guizhou Minzu University,Guiyang 550025,China;College of Clinical Medicine,Guizhou Medical University,Guiyang 550025,China)
出处
《现代电子技术》
北大核心
2020年第13期143-146,149,共5页
Modern Electronics Technique
关键词
深度学习
用户
教学质量
数据管理
评价系统
智能化程度
deep learning
user
teaching quality
data management
evaluation system
intelligence level
