Evaluation of content adaptation: Case study with NeuroSky MindWave in children with learning difficulties

Purpose: Students have learning difficulties, mainly in processes that involve attention and interpretation of written or spoken language. Technological tools allow to create computational platforms with adaptation aspects depending on the student’s characteristics. It is also important to highlight...

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Autores:
Lancheros Cuesta, Diana Yaneth
Carrillo-Ramos A.
Lancheros-Cuesta M.
Tipo de recurso:
Article of journal
Fecha de publicación:
2019
Institución:
Universidad Cooperativa de Colombia
Repositorio:
Repositorio UCC
Idioma:
OAI Identifier:
oai:repository.ucc.edu.co:20.500.12494/41744
Acceso en línea:
https://doi.org/10.15446/revfacmed.v65n3.49484
https://hdl.handle.net/20.500.12494/41744
Palabra clave:
Brain
K-means clustering
Learning systems
Signal analysis
Adaptation
Attention
Brain wave
Computational system
Difficulty
Students
Rights
closedAccess
License
http://purl.org/coar/access_right/c_14cb
id COOPER2_cd40a67a035ae0d9f02bfb2de9a06377
oai_identifier_str oai:repository.ucc.edu.co:20.500.12494/41744
network_acronym_str COOPER2
network_name_str Repositorio UCC
repository_id_str
spelling Lancheros Cuesta, Diana YanethCarrillo-Ramos A.Lancheros-Cuesta M.2021-12-16T22:15:45Z2021-12-16T22:15:45Z2019https://doi.org/10.15446/revfacmed.v65n3.4948417440084https://hdl.handle.net/20.500.12494/41744Lancheros DJ,Carrillo A,Lancheros M. Evaluation of content adaptation: Case study with NeuroSky MindWave in children with learning difficulties. Int. J. Web Inf. Syst. 2019. 15. (4):p. 474-488. .Purpose: Students have learning difficulties, mainly in processes that involve attention and interpretation of written or spoken language. Technological tools allow to create computational platforms with adaptation aspects depending on the student’s characteristics. It is also important to highlight the progress of the measurement of cognitive processes such as attention through NeuroSky’s MindWave EEG sensors. This paper aims to present the results of analyzing attention levels of children with learning difficulties, based on the acquired brain waves. As a final result, an adaptive computational system that displays educational activities regarding educational profiles of children is obtained. Design/methodology/approach: The Kamachiy–Idukay platform was chosen to make the validation. The platform generates the educational activities according to the students’ profile. The validation phases were identification of the test environment, the first environment required a scenario that involved students with learning difficulties, to verify the functionality of the system, when analyzing cases of the students with learning difficulties; identification of two validation criteria, type of educational activity and attention difficulties of the students; and analysis of the brain signal when children interact with the educational content. Findings: The adaptation of contents that include music and animations generate higher levels of attention in students with difficulty. The analysis of signals from the NeuroSky sensor to determine the attentional levels in children allowed a generation of content adapted to the characteristics of the difficulty in each child. Research limitations/implications: For the validation, it was necessary at the beginning of the activity to determine the stability of the signal emitted by the NeuroSky sensor. Two cases were studied in children with difficulty and their measure of attention versus adaptive contents. Practical implications: A k-means algorithm was used to establish the attention levels of the children. Social implications: Children with learning difficulties have different learning styles, which implies an adaptation of content that generates an attentional process according to their characteristics. Originality/value: Evaluation content adaptation taking into account the signal brain sensor NeuroSky for learning process. The signal brain of the student when interacting with the activities is include in the student profile. © 2019, Emerald Publishing Limited.diana.lancheros@campusucc.edu.co488-474Emerald Group Publishing Ltd.BrainK-means clusteringLearning systemsSignal analysisAdaptationAttentionBrain waveComputational systemDifficultyStudentsEvaluation of content adaptation: Case study with NeuroSky MindWave in children with learning difficultiesArtículohttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1http://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articlehttp://purl.org/redcol/resource_type/ARTinfo:eu-repo/semantics/publishedVersionInternational Journal of Web Information Systemsinfo:eu-repo/semantics/closedAccesshttp://purl.org/coar/access_right/c_14cbPublication20.500.12494/41744oai:repository.ucc.edu.co:20.500.12494/417442024-08-20 16:18:55.209metadata.onlyhttps://repository.ucc.edu.coRepositorio Institucional Universidad Cooperativa de Colombiabdigital@metabiblioteca.com
dc.title.spa.fl_str_mv Evaluation of content adaptation: Case study with NeuroSky MindWave in children with learning difficulties
title Evaluation of content adaptation: Case study with NeuroSky MindWave in children with learning difficulties
spellingShingle Evaluation of content adaptation: Case study with NeuroSky MindWave in children with learning difficulties
Brain
K-means clustering
Learning systems
Signal analysis
Adaptation
Attention
Brain wave
Computational system
Difficulty
Students
title_short Evaluation of content adaptation: Case study with NeuroSky MindWave in children with learning difficulties
title_full Evaluation of content adaptation: Case study with NeuroSky MindWave in children with learning difficulties
title_fullStr Evaluation of content adaptation: Case study with NeuroSky MindWave in children with learning difficulties
title_full_unstemmed Evaluation of content adaptation: Case study with NeuroSky MindWave in children with learning difficulties
title_sort Evaluation of content adaptation: Case study with NeuroSky MindWave in children with learning difficulties
dc.creator.fl_str_mv Lancheros Cuesta, Diana Yaneth
Carrillo-Ramos A.
Lancheros-Cuesta M.
dc.contributor.author.none.fl_str_mv Lancheros Cuesta, Diana Yaneth
Carrillo-Ramos A.
Lancheros-Cuesta M.
dc.subject.spa.fl_str_mv Brain
K-means clustering
Learning systems
Signal analysis
Adaptation
Attention
Brain wave
Computational system
Difficulty
Students
topic Brain
K-means clustering
Learning systems
Signal analysis
Adaptation
Attention
Brain wave
Computational system
Difficulty
Students
description Purpose: Students have learning difficulties, mainly in processes that involve attention and interpretation of written or spoken language. Technological tools allow to create computational platforms with adaptation aspects depending on the student’s characteristics. It is also important to highlight the progress of the measurement of cognitive processes such as attention through NeuroSky’s MindWave EEG sensors. This paper aims to present the results of analyzing attention levels of children with learning difficulties, based on the acquired brain waves. As a final result, an adaptive computational system that displays educational activities regarding educational profiles of children is obtained. Design/methodology/approach: The Kamachiy–Idukay platform was chosen to make the validation. The platform generates the educational activities according to the students’ profile. The validation phases were identification of the test environment, the first environment required a scenario that involved students with learning difficulties, to verify the functionality of the system, when analyzing cases of the students with learning difficulties; identification of two validation criteria, type of educational activity and attention difficulties of the students; and analysis of the brain signal when children interact with the educational content. Findings: The adaptation of contents that include music and animations generate higher levels of attention in students with difficulty. The analysis of signals from the NeuroSky sensor to determine the attentional levels in children allowed a generation of content adapted to the characteristics of the difficulty in each child. Research limitations/implications: For the validation, it was necessary at the beginning of the activity to determine the stability of the signal emitted by the NeuroSky sensor. Two cases were studied in children with difficulty and their measure of attention versus adaptive contents. Practical implications: A k-means algorithm was used to establish the attention levels of the children. Social implications: Children with learning difficulties have different learning styles, which implies an adaptation of content that generates an attentional process according to their characteristics. Originality/value: Evaluation content adaptation taking into account the signal brain sensor NeuroSky for learning process. The signal brain of the student when interacting with the activities is include in the student profile. © 2019, Emerald Publishing Limited.
publishDate 2019
dc.date.issued.none.fl_str_mv 2019
dc.date.accessioned.none.fl_str_mv 2021-12-16T22:15:45Z
dc.date.available.none.fl_str_mv 2021-12-16T22:15:45Z
dc.type.none.fl_str_mv Artículo
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_2df8fbb1
dc.type.coar.none.fl_str_mv http://purl.org/coar/resource_type/c_6501
dc.type.coarversion.none.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.driver.none.fl_str_mv info:eu-repo/semantics/article
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status_str publishedVersion
dc.identifier.none.fl_str_mv https://doi.org/10.15446/revfacmed.v65n3.49484
dc.identifier.issn.spa.fl_str_mv 17440084
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12494/41744
dc.identifier.bibliographicCitation.spa.fl_str_mv Lancheros DJ,Carrillo A,Lancheros M. Evaluation of content adaptation: Case study with NeuroSky MindWave in children with learning difficulties. Int. J. Web Inf. Syst. 2019. 15. (4):p. 474-488. .
url https://doi.org/10.15446/revfacmed.v65n3.49484
https://hdl.handle.net/20.500.12494/41744
identifier_str_mv 17440084
Lancheros DJ,Carrillo A,Lancheros M. Evaluation of content adaptation: Case study with NeuroSky MindWave in children with learning difficulties. Int. J. Web Inf. Syst. 2019. 15. (4):p. 474-488. .
dc.relation.ispartofjournal.spa.fl_str_mv International Journal of Web Information Systems
dc.rights.accessrights.none.fl_str_mv info:eu-repo/semantics/closedAccess
dc.rights.coar.none.fl_str_mv http://purl.org/coar/access_right/c_14cb
eu_rights_str_mv closedAccess
rights_invalid_str_mv http://purl.org/coar/access_right/c_14cb
dc.format.extent.spa.fl_str_mv 488-474
dc.publisher.spa.fl_str_mv Emerald Group Publishing Ltd.
institution Universidad Cooperativa de Colombia
repository.name.fl_str_mv Repositorio Institucional Universidad Cooperativa de Colombia
repository.mail.fl_str_mv bdigital@metabiblioteca.com
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