Tracking Students’ Mental Engagement Using EEG Signals during an Interaction with a Virtual Learning Environment

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Journal of Intelligent Learning Systems and Applications

ISSN Print: 2150-8402
ISSN Online: 2150-8410
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"Tracking Students’ Mental Engagement Using EEG Signals during an Interaction with a Virtual Learning Environment"
written by Asma Ben Khedher, Imène Jraidi, Claude Frasson,
published by Journal of Intelligent Learning Systems and Applications, Vol.11 No.1, 2019

has been cited by the following article(s):

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[17]	Ratio Indexes based on spectral electroencephalographic brainwaves for assessment of mental involvement: A systematic review
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[18]	A survey on automatic engagement recognition methods: online and traditional classroom
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[25]	Facebook usage patterns looking into the mind via the ICAP engagement framework
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[30]	Novel Handcrafted Features for Cognitive Attention Analysis of Students in Flipped Classroom
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[1]	Student Engagement Recognition: Comprehensive Analysis Through EEG and Verification by Image Traits Using Deep Learning Techniques IEEE Access, 2025 DOI:10.1109/ACCESS.2025.3526187

[2]	Automatic detection and interpretable analysis of learners’ cognitive states based on electroencephalogram signals Thinking Skills and Creativity, 2024 DOI:10.1016/j.tsc.2024.101643

[3]	Electroencephalography in naturalistic and semi‐naturalistic educational contexts: A systematic review Review of Education, 2024 DOI:10.1002/rev3.70020

[4]	Predicting Student Engagement Using Sequential Ensemble Model IEEE Transactions on Learning Technologies, 2024 DOI:10.1109/TLT.2023.3342860

[5]	Anxiety only makes it worse: Exploring the impact mechanisms of app‐based learning on performance progress Journal of Computer Assisted Learning, 2023 DOI:10.1111/jcal.12727

[6]	The impact of media diversity and cognitive style on learning experience in programming video lecture: A brainwave analysis Education and Information Technologies, 2023 DOI:10.1007/s10639-023-11608-9

[7]	Facebook usage patterns looking into the mind via the ICAP engagement framework Behaviour & Information Technology, 2023 DOI:10.1080/0144929X.2021.2024597

[8]	Potentialities and limitations of the use of EEG devices in educational contexts Comunicar, 2023 DOI:10.3916/C76-2023-04

[9]	Uncovering of learner’s confusion using EEG Data during online learning 2023 5th Biennial International Conference on Nascent Technologies in Engineering (ICNTE), 2023 DOI:10.1109/ICNTE56631.2023.10146659

[10]	The impact of media diversity and cognitive style on learning experience in programming video lecture: A brainwave analysis Education and Information Technologies, 2023 DOI:10.1007/s10639-023-11608-9

[11]	Engagement Detection and Its Applications in Learning: A Tutorial and Selective Review Proceedings of the IEEE, 2023 DOI:10.1109/JPROC.2023.3309560

[12]	Automatic student engagement measurement using machine learning techniques: A literature study of data and methods Multimedia Tools and Applications, 2023 DOI:10.1007/s11042-023-17534-9

[13]	Restoring Engagement in Human-Robot Interaction: A Brain-Computer Interface for Adaptive Learning with Robots 2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2023 DOI:10.1109/SMC53992.2023.10394055

[14]	Automatic student engagement measurement using machine learning techniques: A literature study of data and methods Multimedia Tools and Applications, 2023 DOI:10.1007/s11042-023-17534-9

[15]	Social Robotics Lecture Notes in Computer Science, 2022 DOI:10.1007/978-3-031-24670-8_13

[16]	EEG-based Engagement Index for Video Game Players 2022 International Conference on Emerging Trends in Electrical, Control, and Telecommunication Engineering (ETECTE), 2022 DOI:10.1109/ETECTE55893.2022.10007386

[17]	Facebook usage patterns looking into the mind via the ICAP engagement framework Behaviour & Information Technology, 2022 DOI:10.1080/0144929X.2021.2024597

[18]	Novel Handcrafted Features for Cognitive Attention Analysis of Students in Flipped Classroom 2022 International Conference on Advanced Learning Technologies (ICALT), 2022 DOI:10.1109/ICALT55010.2022.00019

[19]	Anxiety only makes it worse: Exploring the impact mechanisms of app‐based learning on performance progress Journal of Computer Assisted Learning, 2022 DOI:10.1111/jcal.12727

[20]	A multimodal approach for the ecological investigation of sustained attention: A pilot study Frontiers in Human Neuroscience, 2022 DOI:10.3389/fnhum.2022.971314

[21]	Electrophysiological Brain Response to Error in Solving Mathematical Tasks Mathematics, 2022 DOI:10.3390/math10183294

[22]	Motivational Gestures in Robot-Assisted Language Learning: A Study of Cognitive Engagement using EEG Brain Activity 2022 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), 2022 DOI:10.1109/RO-MAN53752.2022.9900508

[23]	EEG-based Engagement Index for Video Game Players 2022 International Conference on Emerging Trends in Electrical, Control, and Telecommunication Engineering (ETECTE), 2022 DOI:10.1109/ETECTE55893.2022.10007386

[24]	Art Teachers' Attitudes Toward Online Learning: An Empirical Study Using Self Determination Theory Frontiers in Psychology, 2021 DOI:10.3389/fpsyg.2021.627095

[25]	Workplace Mental State Monitoring during VR-Based Training for Offshore Environment Sensors, 2021 DOI:10.3390/s21144885

[26]	Neurotechnology as a factor of the educational process transformation Vocational education and labour market, 2021 DOI:10.52944/PORT.2021.47.4.007

[27]	Workplace Mental State Monitoring during VR-Based Training for Offshore Environment Sensors, 2021 DOI:10.3390/s21144885

[28]	Human-to-Human Knowledge Transfer using Functional Electrical Stimulation 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2020 DOI:10.1109/SMC42975.2020.9283319

[29]	Enhancing the Learning Experience Using Real-Time Cognitive Evaluation International Journal of Information and Education Technology, 2019 DOI:10.18178/ijiet.2019.9.10.1287

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