Attention Span Detection for Online Lectures

2021 International Conference on Advances in Computing and Communications (ICACC) Pub Date : 2021-10-21 DOI:10.1109/ICACC-202152719.2021.9708082

V. Karthikraj, Varsha A. Patil, Senthil Thanneermalai, Thirumalainambi Yadav

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引用次数: 2

Abstract

Due to the Covid-19 pandemic, more than 1.2 billion students around the world were out of the classrooms in the year 2020. Nevertheless, in this age of technological innovation, schools and pedagogical institutions have resorted to online teaching through various video conferencing applications to maintain continuity in the crucial impartation of knowledge in the leaders of the upcoming generations. However, online teaching is a difficult medium for the teachers as well as students to adapt to. Due to its shortcomings, students fail to pay attention during the lecture which results in teacher’s teaching in vain. Therefore, it is the need of the hour to implement an effective teaching system that can quantify the attention of an individual student as well as of the entire class during the online lecture. This will not only encourage the students to pay attention during the lecture but also assist the teacher with a powerful tool of determining the effectiveness of their teaching and thereby make changes to it to increase the attention of the entire class.

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在线讲座的注意力广度检测

由于2019冠状病毒病大流行，2020年全球有超过12亿学生失学。然而，在这个技术创新的时代，学校和教育机构通过各种视频会议应用程序进行在线教学，以保持对下一代领导人重要知识传授的连续性。然而，网络教学对教师和学生来说都是一种难以适应的媒介。由于它的缺点，学生在讲课时注意力不集中，导致教师的教学无效。因此，实施一个有效的教学系统是需要时间的，这个系统可以量化在线课程中单个学生和整个班级的注意力。这不仅会鼓励学生在讲课时集中注意力，而且还会帮助教师提供一个强大的工具来确定他们的教学效果，从而做出改变，以增加整个班级的注意力。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

2021 International Conference on Advances in Computing and Communications (ICACC)

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