摘要
对学生学习兴趣分析方法的研究在教学活动中是非常有意义的,但是目前的学生课堂评价体系都不够客观。本文介绍了一种根据课堂中采集到学生身体行为特征,定义了6种特征动作并叙述其对应的识别方法,并通过多模态信息融合以及层次分析法确定权重,从而计算出兴趣度。
It is very meaningful to study the analytical method of students'learning interest in teaching activities,but the current evaluation system of students'learning is not objective enough.This paper introduces a recognition method based on the physical behavior characteristics of students collected in class,defines 6 characteristic actions and narrates their corresponding recognition methods,and determines the weight through multi-mode information fusion and analytic hierarchy process to calculate the degree of interest.
作者
任婕
Ren Jie(Electronics and Information Engineering,North China University of Technology,Beijing,100144,China)
出处
《仪器仪表用户》
2019年第12期109-112,共4页
Instrumentation
关键词
兴趣度
身体行为
分类方法
信息融合
层次分析法
interest
physical behavior
classification method
information fusion
AHP