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The EEG-Based Attention Analysis in Multimedia m-Learning

In recent years, research on brain-computer interfaces has been increasing in the field of education, and mobile learning has become a very important way of learning. In this study, EEG experiment of a group of iPad-based mobile learners was conducted through algorithm optimization on the TGAM chip....

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Detalles Bibliográficos
Autores principales: Ni, Dan, Wang, Shuo, Liu, Guocheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7303747/
https://www.ncbi.nlm.nih.gov/pubmed/32587629
http://dx.doi.org/10.1155/2020/4837291
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author Ni, Dan
Wang, Shuo
Liu, Guocheng
author_facet Ni, Dan
Wang, Shuo
Liu, Guocheng
author_sort Ni, Dan
collection PubMed
description In recent years, research on brain-computer interfaces has been increasing in the field of education, and mobile learning has become a very important way of learning. In this study, EEG experiment of a group of iPad-based mobile learners was conducted through algorithm optimization on the TGAM chip. Under the three learning media (text, text + graphic, and video), the researchers analyzed the difference in learners' attention. The study found no significant difference in attention in different media, but learners using text media had the highest attention value. Later, the researchers studied the attention of learners with different learning styles and found that active and reflective learners' attention exhibited significant differences when using video media to learn.
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spelling pubmed-73037472020-06-24 The EEG-Based Attention Analysis in Multimedia m-Learning Ni, Dan Wang, Shuo Liu, Guocheng Comput Math Methods Med Research Article In recent years, research on brain-computer interfaces has been increasing in the field of education, and mobile learning has become a very important way of learning. In this study, EEG experiment of a group of iPad-based mobile learners was conducted through algorithm optimization on the TGAM chip. Under the three learning media (text, text + graphic, and video), the researchers analyzed the difference in learners' attention. The study found no significant difference in attention in different media, but learners using text media had the highest attention value. Later, the researchers studied the attention of learners with different learning styles and found that active and reflective learners' attention exhibited significant differences when using video media to learn. Hindawi 2020-06-10 /pmc/articles/PMC7303747/ /pubmed/32587629 http://dx.doi.org/10.1155/2020/4837291 Text en Copyright © 2020 Dan Ni et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Ni, Dan
Wang, Shuo
Liu, Guocheng
The EEG-Based Attention Analysis in Multimedia m-Learning
title The EEG-Based Attention Analysis in Multimedia m-Learning
title_full The EEG-Based Attention Analysis in Multimedia m-Learning
title_fullStr The EEG-Based Attention Analysis in Multimedia m-Learning
title_full_unstemmed The EEG-Based Attention Analysis in Multimedia m-Learning
title_short The EEG-Based Attention Analysis in Multimedia m-Learning
title_sort eeg-based attention analysis in multimedia m-learning
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7303747/
https://www.ncbi.nlm.nih.gov/pubmed/32587629
http://dx.doi.org/10.1155/2020/4837291
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