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dc.contributor.authorÜlker, Büşra
dc.contributor.authorTabakcıoğlu, Mehmet Barış
dc.contributor.authorÇizmeci, Hüseyin
dc.contributor.authorAyberkin, Doruk
dc.date.accessioned2019-05-13T09:08:59Z
dc.date.available2019-05-13T09:08:59Z
dc.date.issued2017
dc.identifier.citationÜlker, B., Tabakcıoğlu, M. B., Çizmeci, H., Ayberkin, D. (2017, June). Relations of attention and meditation level with learning in engineering education. 9th International Conference on Electronics, Computers and Artificial Intelligence (ECAI). IEEE.en_US
dc.identifier.isbn9781509064571
dc.identifier.urihttps://doi.org/10.1109/ECAI.2017.8166407
dc.identifier.urihttps://hdl.handle.net/11491/2084
dc.description9th International Conference on Electronics, Computers and Artificial Intelligence, ECAI 2017, 29 June 2017 through 1 July 2017,en_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. © 2017 IEEE.en_US
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.isversionof10.1109/ECAI.2017.8166407en_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectBrain Computer Interface (BCI)en_US
dc.subjectBrainwavesen_US
dc.subjectEducationen_US
dc.subjectEEGen_US
dc.subjectEEG Biosensoren_US
dc.subjectNeuroskyen_US
dc.titleRelations of attention and meditation level with learning in engineering educationen_US
dc.typeconferenceObjecten_US
dc.relation.journalProceedings of the 9th International Conference on Electronics, Computers and Artificial Intelligence, ECAI 2017en_US
dc.departmentHitit Üniversitesi, Teknik Bilimler Meslek Yüksekokulu, Bilgisayar Teknolojileri Bölümüen_US
dc.authorid0000-0003-4093-9592en_US
dc.identifier.volume2017-Januaryen_US
dc.identifier.startpage1en_US
dc.identifier.endpage4en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US


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