Design and Implementation of an EEG-Based Learning-Style Recognition Mechanism

Existing methods for learning-style recognition are highly subjective and difficult to implement. Therefore, the present study aimed to develop a learning-style recognition mechanism based on EEG features. The process for the mechanism included labeling learners’ actual learning styles, designing a...

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Bibliographic Details
Published in:Brain sciences 2021-05, Vol.11 (5), p.613
Main Authors: Zhang, Bingxue, Chai, Chengliang, Yin, Zhong, Shi, Yang
Format: Article
Language:English
Subjects:
Brain research
brain-computer interface
Cognitive style
Design
Distance learning
EEG
EEG features
Electroencephalography
Felder–Silverman learning-style
Gender
Hypotheses
Information processing
Labeling
learning-style recognition
Neural networks
processing dimension
Questionnaires
Research methodology
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Summary:Existing methods for learning-style recognition are highly subjective and difficult to implement. Therefore, the present study aimed to develop a learning-style recognition mechanism based on EEG features. The process for the mechanism included labeling learners’ actual learning styles, designing a method to effectively stimulate different learners’ internal state differences regarding learning styles, designing the data-collection method, designing the preprocessing procedure, and constructing the recognition model. In this way, we designed and verified an experimental method that can effectively stimulate learning-style differences in the information-processing dimension. In addition, we verified the effectiveness of using EEG signals to recognize learning style. The recognition accuracy of the learning-style processing dimension was 71.2%. This result is highly significant for the further exploration of using EEG signals for effective learning-style recognition.
ISSN:2076-3425
2076-3425
DOI:10.3390/brainsci11050613