AI in online-learning research: Visualizing and interpreting the journal publications from 1997 to 2019

GJ Hwang, YF Tu, KY Tang - International Review of Research in Open …, 2022 - erudit.org
This study reviews the journal publications of artificial intelligence-supported online learning
(AIoL) in the Web of Science (WOS) database from 1997 to 2019 taking into account the …

Cognitive and affective brain–computer interfaces for improving learning strategies and enhancing student capabilities: A systematic literature review

N Jamil, AN Belkacem, S Ouhbi, C Guger - Ieee Access, 2021 - ieeexplore.ieee.org
Brain–computer interface (BCI) technology has the potential to positively contribute to the
educational learning environment, which faces many challenges and shortcomings …

Interactive and collaborative technological ecosystems for improving academic motivation and engagement

D Fonseca, FJ García-Peñalvo - Universal Access in the Information …, 2019 - Springer
The emergence and popularity of Information and Communications Technologies (ICTs)
have changed the current educational landscape [1, 2]. ICTs facilitate individuals' ability to …

Confused or not: decoding brain activity and recognizing confusion in reasoning learning using EEG

T Xu, J Wang, G Zhang, L Zhang… - Journal of Neural …, 2023 - iopscience.iop.org
Objective. Confusion is the primary epistemic emotion in the learning process, influencing
students' engagement and whether they become frustrated or bored. However, research on …

Real-time EEG-based emotion recognition for neurohumanities: perspectives from principal component analysis and tree-based algorithms

MA Blanco-Ríos, MO Candela-Leal… - Frontiers in Human …, 2024 - frontiersin.org
Within the field of Humanities, there is a recognized need for educational innovation, as
there are currently no reported tools available that enable individuals to interact with their …

On time series cross-validation for deep learning classification model of mental workload levels based on EEG signals

K Kingphai, Y Moshfeghi - … on Machine Learning, Optimization, and Data …, 2022 - Springer
The determination of a subject's mental workload (MWL) from an electroencephalogram
(EEG) is a well-studied area in the brain-computer interface (BCI) field. A high MWL level …

To be or not to be stuck, or is it a continuum? a systematic literature review on the concept of being stuck in games

T Drey, F Fischbach, P Jansen, J Frommel… - Proceedings of the …, 2021 - dl.acm.org
Players can get stuck in video games, which impedes their process to their goal and results
in unfavorable outcomes like negative emotions, impediments of flow, and obstacles for …

Efficient Decoding of Affective States from Video-elicited EEG Signals: An Empirical Investigation

K Latifzadeh, N Gozalpour, VJ Traver… - ACM Transactions on …, 2024 - dl.acm.org
Affect decoding through brain-computer interfacing (BCI) holds great potential to capture
users' feelings and emotional responses via non-invasive electroencephalogram (EEG) …

Applications of deep learning method of artificial intelligence in education

F Zhang, X Wang, X Zhang - Education and Information Technologies, 2024 - Springer
Intersection of education and deep learning method of artificial intelligence (AI) is gradually
becoming a hot research field. Education will be profoundly transformed by AI. The purpose …

FaceEngage: Robust estimation of gameplay engagement from user-contributed (YouTube) videos

X Chen, L Niu, A Veeraraghavan… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Measuring user engagement in interactive tasks can facilitate numerous applications toward
optimizing user experience, ranging from eLearning to gaming. However, a significant …