基于SVM的教学质量监控和评价方法的研究

Research on the Method of Teaching Quality Supervision and Evaluation Based on SVM

教学质量是高校的生命线,对教学质量监控及评价数据的加工、分析和利用尤为重要。针对教学质量监控和评价中的问题,文章分析了适合本校的教学质量评价指标,利用SVM理论,结合C#语言和数据库技术,提出了一个基于SVM的教学质量评价方案。对评价数据进行预处理,利用LIBSVM封装技术,对数据进行训练与预测,结果证明,SVM模型能够达到较好的预测精度,评价结果符合要求,具有一定的实用价值。

The quality of teaching is the lifeline of colleges and universities,which is particularly important for the processing,analysis and utilization of the monitoring and evaluation of the quality of teaching.In view of the problems in teaching quality monitoring and evaluation,this paper analyzes the teaching quality evaluation indicators suitable for our school.Based on SVM theory,combined with C#language and database technology,we propose a SVM based teaching quality evaluation program.Preprocessing the evaluation data and using LIBSVM encapsulation technology to train and predict the data,the results show that the SVM model can achieve better prediction accuracy,and the evaluation results meet the requirements,which has certain practical value.