摘要
注意力评价是教学评价的重要组成部分。然而,由于在线课堂非接触式的特点导致注意力评测成为一项难题。该研究设计了基于RealSense实感技术的在线课堂注意力测评系统,系统采用Intel RealSense实感技术,通过获取学习者的深度视频流,从头部姿态、眼部视线、眼睛开闭和面部检测四个方面对在线课堂中学习者的注意力状态进行评测。该评测系统能够做到对注意力的实时感知和精准计算,实现在真实情境和自然状态下完成在线课堂注意力状态的采集和评测,相较于其他非侵入式评测方法,该系统具有精准度高、设计简单、实施方便等优点。
Attention evaluation is an important part of teaching evaluation,but it has be-come a difficult problem due to the non-contact characteristics of online-classroom.This study de-signed an online-classroom attention evaluation system based on RealSense technology.With the application of Intel RealSense technology,by acquiring learners'deep video stream,this system evaluated learners'attention in the online-classroom from four aspects including head posture,eye sight,opening and closing of eyes as well as facial detection.This evaluating system can make real-time perception and accurate calculation of attention,and realize collection and assessment of learners'attention in the online-classroom in real situation and natural state.Compared with other non-invasive evaluating methods,this system owns high accuracy,easy design and convenient app-lication.
作者
路远
李彦敏
Lu Yuan;Li Yanmin(Normal College, Jimei University, Xiamen 361021, China)
出处
《中国医学教育技术》
2020年第3期333-337,共5页
China Medical Education Technology
基金
福建省社科规划项目“基于群组助学的SPOC深度学习支持机制研究”(FJ2017B027)
福建省教育厅中青年教师教育科研项目(社科类)“学习分析视角下的在线学习状态评价模型研究”(JAS170248)
集美大学第九批教育教学改革研究项目“在线课堂学习注意力的理论评价模型研究与工程实现”(JY17008)。
