EXECUTE: Exploring Eye Tracking to Support E-learning

Khan, A. R., Khosravi, S., Hussain, S. , Ghannam, R. , Zoha, A. and Imran, M. A. (2022) EXECUTE: Exploring Eye Tracking to Support E-learning. In: IEEE Global Engineering Education Conference (EDUCON2022), Tunis, Tunisia, 28-31 March 2022, pp. 670-676. ISBN 9781665444347 (doi: 10.1109/EDUCON52537.2022.9766506)

Abstract

The outbreak of the COVID-19 pandemic has caused unprecedented disruption to education and progressed remote teaching as a predominant model for delivering educational content. However, the online teaching and learning model has its challenges, such as the lack of technological tools to quantity the student attention and engagement with the learning content. This paper focuses on developing an e-learning framework for capturing and analysing the students’ attention during remote teaching sessions and subsequently profiling their learning behaviour leveraging eye-tracking data. Our proposed eye-tracking solution deploys a webcam to capture and track raw gaze points that grant the user the freedom of natural head movement and scalability compared to conventional eye-tracking approaches. We derived various gaze metrics in conjunction with state-of the-art machine learning (ML) models like logistic regression, support vector machine and polynomial regression to classify the student attention with an accuracy above 91%. Furthermore, our findings can help in the early detection and diagnosis of attention deficit hyperactivity disorder (ADHD) among students, thus supporting their learning journeys by creating an adaptive learning environment tailored to their needs.

• Item Type: Conference Proceedings
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Zoha, Dr Ahmed and Khosravi, Sara and Khan, Ahsan Raza and Imran, Professor Muhammad and Hussain, Dr Sajjad and Ghannam, Professor Rami
• Authors: Khan, A. R., Khosravi, S., Hussain, S., Ghannam, R., Zoha, A., and Imran, M. A.
• College/School: College of Science and Engineering > School of Engineering > Autonomous Systems and Connectivity; College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering
• ISBN: 9781665444347
• Published Online: 11 May 2022
• Copyright Holders: Copyright © 2021 IEEE
• First Published: First published in IEEE Global Engineering Education Conference (EDUCON2022): 670-676
• Publisher Policy: Reproduced in accordance with the publisher copyright policy

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