Enhancing mathematical learning outcomes through a low-cost single-channel BCI system

This study investigates the effectiveness of a Low-Cost Single-Channel BCI system in improving mathematical learning outcomes, self-efficacy, and alpha power in university students. Eighty participants were randomly assigned to either a BCI group receiving real-time neurofeedback based on alpha rhythms or a sham feedback group. Results showed that the BCI group had significantly higher mathematical performance, self-efficacy, and alpha power compared to the sham feedback group. Mathematics performance, alpha wave intensity, and self-efficacy showed significant positive correlations after training, indicating that neurofeedback training may have promoted their interaction and integration. These findings demonstrate the potential of BCI technology in enhancing mathematical learning outcomes and highlight the importance of considering pre-test performance and self-efficacy in predicting learning outcomes, with implications for personalized learning interventions and the integration of BCI technology in educational settings.

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Publication Details

Journal
npj Science of Learning
Published
2024-11-11
DOI
https://doi.org/10.1038/s41539-024-00277-z
Citations
1
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
0.34
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article

Enhancing mathematical learning outcomes through a low-cost single-channel BCI system

Zhé Hóu, Xiang Li, Shuchang Xu, Jiawen Yang
1 citations
npj Science of Learning
EEG and Brain-Computer Interfaces
0.34
article

Enhancing mathematical learning outcomes through a low-cost single-channel BCI system

Zhé Hóu, Xiang Li, Shuchang Xu, Jiawen Yang
article en
1 citations

Abstract

This study investigates the effectiveness of a Low-Cost Single-Channel BCI system in improving mathematical learning outcomes, self-efficacy, and alpha power in university students. Eighty participants were randomly assigned to either a BCI group receiving real-time neurofeedback based on alpha rhythms or a sham feedback group. Results showed that the BCI group had significantly higher mathematical performance, self-efficacy, and alpha power compared to the sham feedback group. Mathematics performance, alpha wave intensity, and self-efficacy showed significant positive correlations after training, indicating that neurofeedback training may have promoted their interaction and integration. These findings demonstrate the potential of BCI technology in enhancing mathematical learning outcomes and highlight the importance of considering pre-test performance and self-efficacy in predicting learning outcomes, with implications for personalized learning interventions and the integration of BCI technology in educational settings.

npj Science of LearningVol. 9(1)
Wuhan University (CN), Shanxi Normal University (CN), Shanxi Normal University (CN)
Openalex Percentile: Top 39%
EEG and Brain-Computer Interfaces
0.34
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