SVM在教师教学质量评价中的应用

教师教学质量评价其目的是为了督促教师不断提高教学实践能力,而传统方法利用主观权重计算评价成绩其合理性受到质疑,需要寻求一种更加科学、合理的评价方法.支持向量机(SVM)是一种新的机器学习方法,该方法有较好的泛化能力,在解决小样本、非线性及多指标评价中有比较大的优势.SVM应用于教师教学质量评价是一种很好的尝试,使用SVM方法根据教师评价指标来估算教师的教学质量好坏,其评价结果更趋合理.

The Teacher Evaluation Based on Support Vector Machine

The objective of the teachers' teaching quality evaluation is to supervise teachers to raise their teaching practise ability.But the traditional evaluation method mainly utilizes the subjective weight to calculate the teaching ability.So we need to find a more reasonable method.Support vector machine(SVM) is a new mathine learning method,which has better generalization ability.It is a wonderful attempt that SVM applies to teacher's teaching ability evaluation.The SVM method is used to estimate the teacher's teaching ability according to teacher's evaluation index,and the result are more rational.