基于二次规划的三类结构支持向量机构建教学质量评价模型的研究

Model Construction for Evaluating the Quality of Teaching on the Basis of Quadratic Programming Three-Class Structured Support Vector Machine

针对目前教学质量评价的研究现状,利用多分类支持向量机"一对一"三类结构模型对高等教育教学质量进行了评价分析,提出了一个泛化能力较强的分类模型,并能结合专家和学生评价数据智能地对其他任课教师的教学质量进行评价。通过数据实验表面,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性。

The paper integrates the current researches on the evaluation of teaching quality,employs ＂one-to-one＂ three structural models in multi-class Support Vector machine to evaluate the quality of teaching in higher education,and proposes a disaggregated model which has a stronger generalization ability.Combing experts and students’ evaluation data,it can intelligently carry out evaluation of the teachers’ quality of teaching.Seen from the surface of experimental data,based on teachers’ valuating indicator to estimate good or bad quality of teaching of the teachers,its evaluation results tend to be more reasonable.