Evaluation of Classroom Teaching Quality Based on Data Mining and Cloud Model
Yong Ye · Jisuanji fangzhen · 2012
Quality assessment of classroom teaching is a multi-level,multi-objective optimization,and the traditional linear evaluation method can not reflect the nonlinear relation between the quality of classroom teaching.To improve assessment accuracy,the paper proposed a cloud model of classroom teaching quality based on data mining method.Support vector machine was used to approach the non-linear relationship between classroom teaching quality and evaluation indexes,a genetic algorithm was used for parameter optimization of support vector machine,and the cloud model of genetic algorithm was used to improve the global search ability to prevent accessing to local optimal parameters of support vector machine.The simulation results show that this algorithm can improve instruction quality evaluation accuracy and effectively find out the problem in classroom teaching quality.