摘要
在线教学作为一种有效缓解教育资源分配不均衡的手段,逐渐在全国各地各校兴起。但受教学过程中师生无法面对面、学生自控能力差、网络设备使用不合理等因素影响,在线教学的实施效果长期以来为人所诟病。因此,研究如何利用智能技术来持续提升在线教学效果具有重要意义。基于此,本文在梳理计算机视觉、机器学习、边缘计算等智能技术在教育行业中的应用现状的基础上,设计了一个顺应时代发展的解决方案,该方案涵盖课堂异常行为检测、面部微表情识别和多模态数据分析3个部分,有助于实现学生在无家长监督情境下正确使用移动终端设备,促进在线教学效果提升。
As an effective means of alleviating the unbalanced distribution of educational resources,online instruction has gradually emerged in schools across the country.However,due to factors such as the inability of teachers and students to face each other during the teaching process,the poor self-control ability of students,and the unreasonable use of network equipment,the implementation effect of online instruction has long been criticized.Therefore,it is of great significance to study how to use intelligent technology to improve the effect of online instruction continuously.In this paper,a solution has been designed to meet the development needs of the times on the basis of sorting out the application status of computer vision,machine learning,edge computing,and other intelligent technologies in education,which covers classroom abnormal behavior detection,facial micro-expression recognition and multimodal data analysis.The solution is helpful to realize the correct use of mobile terminal devices by students without parental supervision and promote the improvement of online instruction effect.
作者
许声宏
XU Shenghong(Sichuaan Business Vocational College,Chengdu 611131,China)
出处
《西南师范大学学报（自然科学版）》
CAS
2022年第9期111-115,共5页
Journal of Southwest China Normal University(Natural Science Edition)
关键词
在线教学
人工智能
计算机视觉
机器学习
边缘计算
online instruction
artificial intelligence
computer vision
machine learning
edge computing
