基于多指标体系和HS-HKRVM的英语教学质量评价

为提高英语教学质量评价精度,针对组合核相关向量机(Hybrid Kernel Relevance Vector Machine,HKRVM)模型性能受权系数β和径向基核函数宽度g的影响,提出一种基于IHS-HKRVM的英语教学质量评价方法。从教学态度、教学内容、教学艺术、课堂结构、课堂管理和教学效果等6个方面构建出一个多指标体系的英语教学质量评价指标体系,将评价指标数据作为HKRVM的输入,英语教学质量评价的等级作为HKRVM的输出,建立IHS-HKRVM英语教学质量评价模型。研究结果表明,与层次分析法、RVM、HKRVM、HS-HKRVM相比较,IHS-HKRVM模型的英语教学质量评价精度最高,为英语教学质量评价提供了新的方法。

Evaluation of English Teaching Quality Based on Multi-index System and HS-HKRVM

In order to improve the quality evaluation accuracy of English teaching,for the influence of the performance coefficientβand the width g of the radial kernel function,the performance of the hybridkernelrelevance vector machine(HKRVM)model is authorized.A quality evaluation method for English teaching based on IHS-HKRVM is proposed.From six aspects of teaching attitude,teaching content,teaching art,classroom structure,classroom management,and teaching effect,a multi-index system for evaluating the quality of English teaching is constructed,and the evaluation index data are used as the input of HKRVM.The level of English teaching quality evaluation is used as the output of HKRVM to establish the IHS-HKRVM English teaching quality evaluation model.The results show that compared with AHP,RVM,HKRVM,HS-HKRVM,the IHS-HKRVM model has the highest accuracy in English teaching quality evaluation and provides a new method for the evaluation of English teaching quality.