The EEG-Based Attention Analysis in Multimedia m-Learning

Joint Authors

Ni, Dan
Wang, Shuo
Liu, Guocheng

Source

Computational and Mathematical Methods in Medicine

Issue

Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-10, 10 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2020-06-10

Country of Publication

Egypt

No. of Pages

10

Main Subjects

Medicine

Abstract EN

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.

American Psychological Association (APA)

Ni, Dan& Wang, Shuo& Liu, Guocheng. 2020. The EEG-Based Attention Analysis in Multimedia m-Learning. Computational and Mathematical Methods in Medicine،Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1139451

Modern Language Association (MLA)

Ni, Dan…[et al.]. The EEG-Based Attention Analysis in Multimedia m-Learning. Computational and Mathematical Methods in Medicine No. 2020 (2020), pp.1-10.
https://search.emarefa.net/detail/BIM-1139451

American Medical Association (AMA)

Ni, Dan& Wang, Shuo& Liu, Guocheng. The EEG-Based Attention Analysis in Multimedia m-Learning. Computational and Mathematical Methods in Medicine. 2020. Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1139451

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1139451