A systematic literature survey of emotion detection of students in e-learning

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dc.contributor.authorIbrahim, Qais Rashid
dc.contributor.authorKurnaz, Sefer
dc.date.accessioned2023-03-03T07:41:09Z
dc.date.available2023-03-03T07:41:09Z
dc.date.issued2022en_US
dc.departmentEnstitüler, Lisansüstü Eğitim Enstitüsü, Elektrik ve Bilgisayar Mühendisliği Ana Bilim Dalıen_US
dc.description.abstractAffective computing is a part of artificial intelligence, which is becoming more important and widely used in education to process and analyze large amounts of data. Consequently, the education system has shifted to an E-learning format because of the COVID-19 epidemic. Then, e-learning is becoming more common in higher education, primarily through Massive Open Online Courses (MOOCs). This study reviewed many prior studies on bolstering educational institutions using AI methods, including deep learning, machine learning, and affective computing. According to the findings, these methods had a very high percentage of success. These studies also helped academic institutions, as well as teachers, understand the emotional state of students in an e-learning environment.en_US
dc.identifier.citationIbrahim, Q. R., & Kurnaz, S. (2022). A systematic literature survey of emotion detection of students in e-learning. In 2022 8th International Conference on Contemporary Information Technology and Mathematics (ICCITM) (pp. 335-340). IEEE.en_US
dc.identifier.endpage340en_US
dc.identifier.isbn9798350334869
dc.identifier.scopus2-s2.0-85148445932
dc.identifier.scopusqualityN/A
dc.identifier.startpage335en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12939/3433
dc.indekslendigikaynakScopus
dc.institutionauthorIbrahim, Qais Rashid
dc.institutionauthorKurnaz, Sefer
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartof2022 8th International Conference on Contemporary Information Technology and Mathematics, ICCITM 2022
dc.relation.isversionof10.1109/ICCITM56309.2022.10032019en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - İdari Personel ve Öğrencien_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectAffective Computingen_US
dc.subjectArtificial Intelligenceen_US
dc.subjectDeep Learningen_US
dc.subjectEmotionen_US
dc.subjectFacial Expression Recognitionen_US
dc.titleA systematic literature survey of emotion detection of students in e-learning
dc.typeConference Object

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