5G环境下智能无感化课堂质量评价体系研究

Research on quality evaluation system of intelligent non probation classroom under 5G environment

目前高校中教学督导工作还只能通过人工课堂观察、查看低分辨率和传输速率慢的视频监控来非实时了解学生的上课情况。这既会造成课堂进度和效果反馈的滞后、片面、模糊,也带来了较大的人力成本及费用支出,且高校教学质量并未出现明显提升。为了解决这些痛点和难题,引入目前主流的5G网络技术和人工智能技术来无感化改革课堂质量评价机制,使得课堂质量检测更加高效化、智能化。本系统实现了利用高清摄像头采集课堂视频信息,从而识别学生在课堂上的行为和专注度,进而研发出直观化的课堂质量评价体系系统,为教学质量实时进行量化评价提供了精准依照和衡量标准,并为高校教育改革明确了方向。

At present,supervision of high education uses classroom observation and poor video surveillance to understand students concentration in non-real time.It not only causes the lag,one-sided and fuzzy feedback of classroom promotion,but also brings large labor costs and expenses.Meanwhile,the teaching quality does not improve prominently.In order to solve this issue,this paper introduces the current mainstream 5G network technology and artificial intelligence technology to reform the quality evaluation mechanism of study,making the classroom quality detection more insusceptible and intelligent.This system realizes the high-definition camera to collect video information,identifies students behavior and concentration and develops an intuitive quality evaluation system of study in the classroom.It provides accurate basis for real-time quantitative evaluation of teaching quality and clarifies the direction of higher education reform.