Relations of attention and meditation level with learning in engineering education

BildiriAçık Erişim
  • SDG 4 · Nitelikli Eğitim

Özet

Neurons use electricity in order to communicate to each other. Due to numerous signals sent by neurons, there are oodles of electrical activity in the brain. Sensitive equipment like electroencephalogram (EEG) biosensor perceives the brainwaves emanated from neurons. Beta waves are responsible for problem solving or decision making and associated with attention. Alpha waves are associated with now and meditation. Neurosky EEG biosensor perceives the brainwaves and transforms these brainwaves into attention and meditation values. In this study, Neurosky EEG biosensor is used for measuring the attention and meditation levels of students. A program is developed in C# medium. The developed program records raw brainwave data, attention and meditation average while the students are studying. As the attention and meditation levels are high, the students learn the subjects in the course. If predetermined meditation and attention level are not caught, the developed program does not give permission to pass to another subject. Because of that the students have less meditation and attention average than the predetermined value; they get fewer grades in the exam.

Anahtar Kelimeler

RDL Kalıcı Bağlantı (PID)
https://rdlopen.rawdatalibrary.net/r/bayburt/12299Resmi atıflarda kullanılan kalıcı adres
DOI
https://doi.org/10.1109/ecai.2017.8166407Yayıncı resmi DOI adresi
İndeks kayıtları
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Atıflar
Scopus
16
OpenAlex
16
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Tam Kayıt
AlanDeğerDil
dc.contributor.authorÜlker, Büsra
dc.contributor.authorTabakcioǧlu, Mehmet Bariş
dc.contributor.authorÇizmeci, Hüseyin
dc.contributor.authorAyberkin, Doruk
dc.date.accessioned2026-10-29T19:09:24.908019438Z
dc.date.available2026-10-29T19:09:24.908019438Z
dc.date.issued2017
dc.description.abstractNeurons use electricity in order to communicate to each other. Due to numerous signals sent by neurons, there are oodles of electrical activity in the brain. Sensitive equipment like electroencephalogram (EEG) biosensor perceives the brainwaves emanated from neurons. Beta waves are responsible for problem solving or decision making and associated with attention. Alpha waves are associated with now and meditation. Neurosky EEG biosensor perceives the brainwaves and transforms these brainwaves into attention and meditation values. In this study, Neurosky EEG biosensor is used for measuring the attention and meditation levels of students. A program is developed in C# medium. The developed program records raw brainwave data, attention and meditation average while the students are studying. As the attention and meditation levels are high, the students learn the subjects in the course. If predetermined meditation and attention level are not caught, the developed program does not give permission to pass to another subject. Because of that the students have less meditation and attention average than the predetermined value; they get fewer grades in the exam.
dc.description.sponsorshipBursa Technical University Scientific Research Projects Unit, (2016-01-021)
dc.identifier.doi10.1109/ecai.2017.8166407
dc.identifier.endpage4
dc.identifier.isbn978-150906457-1
dc.identifier.scopus2-s2.0-85043338253
dc.identifier.startpage1
dc.identifier.urihttps://rdlopen.rawdatalibrary.net/r/bayburt/12299
dc.identifier.volume2017-January
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.conference9th International Conference on Electronics, Computers and Artificial Intelligence, ECAI 2017
dc.relation.ispartofProceedings of the 9th International Conference on Electronics, Computers and Artificial Intelligence, ECAI 2017
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectBrain computer interface (BCI)
dc.subjectBrainwaves
dc.subjectEducation
dc.subjectEEG
dc.subjectEEG biosensor
dc.subjectNeurosky
dc.subject.otherArtificial intelligence
dc.subject.otherBiosensors
dc.subject.otherBrain
dc.subject.otherBrain computer interface
dc.subject.otherDecision making
dc.subject.otherEducation
dc.subject.otherElectroencephalography
dc.subject.otherInterfaces (computer)
dc.subject.otherNeurons
dc.subject.otherProblem solving
dc.subject.otherAlpha waves
dc.subject.otherAttention level
dc.subject.otherBrain wave
dc.subject.otherElectrical activities
dc.subject.otherElectro-encephalogram (EEG)
dc.subject.otherLearning in engineering
dc.subject.otherNeurosky
dc.subject.otherSensitive equipment
dc.subject.otherStudents
dc.titleRelations of attention and meditation level with learning in engineering education
dc.typeConference Object
rdl.citation.openalex16
rdl.citation.scopus16
rdl.conference.date29 June 2017 through 1 July 2017
rdl.conference.placeTargoviste
rdl.oa.statusgreen
rdl.oa.urlhttps://hdl.handle.net/20.500.12885/991
rdl.sdgSDG04
rdl.source.indexSCOPUS