EXECUTE: Exploring Eye Tracking to Support E-learning

Author:

Khan Ahsan Raza1,Khosravi Sara1,Hussain Sajjad1,Ghannam Rami1,Zoha Ahmed1,Imran Muhammad Ali1

Affiliation:

1. University of Glasgow,James Watt School of Engineering,United Kingdom

Publisher

IEEE

Reference17 articles.

1. Automatic gaze-based detection of mind wandering during narrative film comprehension;mills;International Educational Data Mining Society,2016

2. Assessing the attention levels of students by using a novel attention aware system based on brainwave signals

3. AttentiveLearner: Improving Mobile MOOC Learning via Implicit Heart Rate Tracking

4. Toward a real-time (day) dreamcatcher: Sensor-free detection of mind wandering during online reading;mills;International Educational Data Mining Society,2015

5. Eye movements in reading and information processing: 20 years of research.

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1. Improving the Effectiveness of E-learning Videos by leveraging Eye-gaze Data;Engineering, Technology & Applied Science Research;2023-12-05

2. Mental Confusion Prediction in E-Learning Contexts with EEG and Machine Learning;Lecture Notes in Networks and Systems;2023

3. The use of Deep Learning techniques in E-Learning systems and MOOCs;2022 International Symposium on iNnovative Informatics of Biskra (ISNIB);2022-12-07

4. Feature Selection Mechanism for Attention Classification using Gaze Tracking Data;2022 29th IEEE International Conference on Electronics, Circuits and Systems (ICECS);2022-10-24

5. Wearable Sensors for Learning Enhancement in Higher Education;Sensors;2022-10-08

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