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. © 2021 IEEE.
Attention Span Detection for Online Lectures