Relations of Attention and Meditation Level with Learning in Engineering Education

Basit Öğe Kaydı
dc.contributor.authorÜlker, Büşra
dc.contributor.authorTabakcıoğlu, Mehmet Barış
dc.contributor.authorCizmeci, Huseyin
dc.contributor.authorAyberkin, Doruk
dc.date.accessioned2021-03-20T20:14:04Z
dc.date.available2021-03-20T20:14:04Z
dc.date.issued2017
dc.departmentBTÜ, Mühendislik ve Doğa Bilimleri Fakültesi, Elektrik Elektronik Mühendisliği Bölümüen_US
dc.description9th International Conference on Electronics, Computers and Artificial Intelligence (ECAI) -- JUN 29-JUL 01, 2017 -- Targoviste, ROMANIAen_US
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.en_US
dc.description.sponsorshipIEEE Romania Sect, IEEE Ind Applicat Soc, Univ Pitestien_US
dc.description.sponsorshipBursa Technical University Scientific Research Projects Unit [2016-01-021]en_US
dc.description.sponsorshipThis work is supported partially by Bursa Technical University Scientific Research Projects Unit under the grant no. 2016-01-021.en_US
dc.identifier.isbn978-1-5090-6458-8
dc.identifier.issn2378-7147
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://hdl.handle.net/20.500.12885/991
dc.identifier.urihttp://doi.org/10.1109/ECAI.2017.8166407
dc.identifier.wosWOS:000425865900023en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorÜlker, Büşra
dc.language.isoenen_US
dc.publisherIeeeen_US
dc.relation.ispartofProceedings Of The 9Th International Conference On Electronics, Computers And Artificial Intelligence - Ecai 2017en_US
dc.relation.ispartofseriesInternational Conference on Electronics Computers and Artificial Intelligence
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectBrain Computer Interface (BCI)en_US
dc.subjectEEGen_US
dc.subjectbrainwavesen_US
dc.subjectNeuroskyen_US
dc.subjectEEG Biosensoren_US
dc.subjecteducationen_US
dc.titleRelations of Attention and Meditation Level with Learning in Engineering Educationen_US
dc.typeConference Objecten_US

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Elektrik Elektronik Mühendisliği Bölümü Yayın Koleksiyonu
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