摘要
当前的课堂教学通常是一位教师面对几十名学生开展教学活动,同时做到对所有学生的精准关注有一定难度。随着大数据时代的到来,借助数字媒体技术,通过提取人脸表情和体态特征,再进行数据解读和分析,使对学生实现有效关注成为可能。本文设计了一种学生学习活动状态的识别与跟踪系统,通过对学生坐姿、眼部和声音等状态数据进行采集和处理,从而较准确地解读和判断出学生的学习情况。实验表明该方案是可行及有效的。
The current classroom teaching is that one teacher faced dozens of students to engage in learning activities,while achieving precise attention to all students have difficulty.With the advent of big data and digital media technology,by extracting characteristic facial expression and body,this paper interprets and analyzes the data,and makes effective attention on students to be possible.This paper presents the identification and tracking system of students'learning activity form,by acquainting and processing the data of students'sitting,eyes and voice,more accurate determines student's learning situation.Experiments show that the scheme is feasible and effective.
出处
《现代教育科学》
2016年第2期54-57,共4页
Modern Education Science
基金
2013年浙江省教育厅项目"基于数字媒体实现教学过程中学生精准有效关注"(项目编号:lj2013088)
关键词
大数据
课堂教学
学生
精准关注
big data
classroom teaching
students
precise attention