Integration of Grey System Theory and EEG Technology for Personalized Attention Cultivation in Primary Education.
Saved in:
| Title: | Integration of Grey System Theory and EEG Technology for Personalized Attention Cultivation in Primary Education. |
|---|---|
| Authors: | Huang, Yufeng1 biznewss@xmu.edu.cn, Chang, Tiffany2 |
| Source: | Journal of Grey System. 2026, Vol. 38 Issue 2, p82-94. 13p. |
| Subjects: | Grey relational analysis, Biofeedback training, Mindfulness, Educational outcomes, Primary education, Individualized instruction |
| Abstract: | Attention has emerged as a critical determinant of learning outcomes in an increasingly digital educational landscape. Traditional assessment methods, however, inadequately capture the uncertainty and dynamic fluctuations characteristic of attention data. We developed a Dynamic Nonlinear Grey Relational Analysis (DN-GRA) model integrated with electroencephalography (EEG) neurofeedback technology to enable real-time detection and prediction of attention patterns, thereby facilitating personalized educational interventions. A 12-week randomized controlled trial with 200 primary school students (grades 3-4) revealed that the experimental group significantly outperformed controls across multiple dimensions: attention stability increased 175%, sustained attention duration improved 120%, and average attention values rose 129% (all p < 0.001). Students also demonstrated substantial gains in memory capacity (28.5%), logical reasoning (30.1%), and overall academic performance (effect size d = 0.82). Grey Relational Analysis validation confirmed the effectiveness of personalized intervention strategies, establishing a practical framework for integrating grey system theory (GST) with neurotechnology to advance educational equity and promote sustainable learning outcomes. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Grey System is the property of Research Information Ltd. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
|---|---|
| Header | DbId: egs DbLabel: Engineering Source An: 193832191 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Integration of Grey System Theory and EEG Technology for Personalized Attention Cultivation in Primary Education. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Huang%2C+Yufeng%22">Huang, Yufeng</searchLink><relatesTo>1</relatesTo><i> biznewss@xmu.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Chang%2C+Tiffany%22">Chang, Tiffany</searchLink><relatesTo>2</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Grey+System%22">Journal of Grey System</searchLink>. 2026, Vol. 38 Issue 2, p82-94. 13p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Grey+relational+analysis%22">Grey relational analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Biofeedback+training%22">Biofeedback training</searchLink><br /><searchLink fieldCode="DE" term="%22Mindfulness%22">Mindfulness</searchLink><br /><searchLink fieldCode="DE" term="%22Educational+outcomes%22">Educational outcomes</searchLink><br /><searchLink fieldCode="DE" term="%22Primary+education%22">Primary education</searchLink><br /><searchLink fieldCode="DE" term="%22Individualized+instruction%22">Individualized instruction</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Attention has emerged as a critical determinant of learning outcomes in an increasingly digital educational landscape. Traditional assessment methods, however, inadequately capture the uncertainty and dynamic fluctuations characteristic of attention data. We developed a Dynamic Nonlinear Grey Relational Analysis (DN-GRA) model integrated with electroencephalography (EEG) neurofeedback technology to enable real-time detection and prediction of attention patterns, thereby facilitating personalized educational interventions. A 12-week randomized controlled trial with 200 primary school students (grades 3-4) revealed that the experimental group significantly outperformed controls across multiple dimensions: attention stability increased 175%, sustained attention duration improved 120%, and average attention values rose 129% (all p < 0.001). Students also demonstrated substantial gains in memory capacity (28.5%), logical reasoning (30.1%), and overall academic performance (effect size d = 0.82). Grey Relational Analysis validation confirmed the effectiveness of personalized intervention strategies, establishing a practical framework for integrating grey system theory (GST) with neurotechnology to advance educational equity and promote sustainable learning outcomes. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Grey System is the property of Research Information Ltd. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=193832191 |
| RecordInfo | BibRecord: BibEntity: Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 13 StartPage: 82 Subjects: – SubjectFull: Grey relational analysis Type: general – SubjectFull: Biofeedback training Type: general – SubjectFull: Mindfulness Type: general – SubjectFull: Educational outcomes Type: general – SubjectFull: Primary education Type: general – SubjectFull: Individualized instruction Type: general Titles: – TitleFull: Integration of Grey System Theory and EEG Technology for Personalized Attention Cultivation in Primary Education. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Huang, Yufeng – PersonEntity: Name: NameFull: Chang, Tiffany IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: 2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 09573720 Numbering: – Type: volume Value: 38 – Type: issue Value: 2 Titles: – TitleFull: Journal of Grey System Type: main |
| ResultId | 1 |
