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An Intelligent Web-Based System for Measuring Students' Attention Levels
Conference proceeding

An Intelligent Web-Based System for Measuring Students' Attention Levels

Omer Useche and Eman El-Sheikh
ICAI 2016 : proceedings of the 2016 International Conference on Artificial Intelligence, p.381
International Conference on Computational Science and Computational Intelligence (CSCI), 18th (Las Vegas, NV, USA, 07/25/2016–07/28/2016)
01/01/2016

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Abstract

With the growing popularity of online education, new challenges arise. One of those challenges, which result from the loss of face-to-face interaction, is the inability to track student's intentional response to instructional content and resources chosen or designed by an instructor. This paper describes an intelligent system that attempts to address this challenge by monitoring student attention while students watch videos in a platform called MyEDBOX. Educators and instructional designers can then use the feedback gathered from the system to evaluate both the individual intentional needs of students and the instructional content of certain instructional content and resources used in an online course, and adapt the course accordingly. While the results from testing this system are varied, they provide insight that will be used to refine an attention tracking system that can be easily configured and used in a Learning Management System (LMS).

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