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• W3162666988 abstract "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." @default.
• W3162666988 created "2021-05-24" @default.
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• W3162666988 date "2021-05-11" @default.
• W3162666988 modified "2023-09-25" @default.
• W3162666988 title "Design and Implementation of an EEG-Based Learning-Style Recognition Mechanism" @default.
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• W3162666988 doi "https://doi.org/10.3390/brainsci11050613" @default.
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