A Classification Approach with Machine Learning Methods for Technical Problems of Distance Education: Turkey Example

dc.authorid0000-0002-1105-9169en_US
dc.authorid0000-0003-1228-9852en_US
dc.authorid0000-0002-9245-5728en_US
dc.contributor.authorYayla, Rıdvan
dc.contributor.authorYayla, Halime Nur
dc.contributor.authorOrtaç, Gizem
dc.contributor.authorBilgin, Turgay Tugay
dc.date.accessioned2022-08-05T06:28:54Z
dc.date.available2022-08-05T06:28:54Z
dc.date.issued2021en_US
dc.departmentBTÜ, Bilgi İşlem Daire Başkanlığıen_US
dc.description.abstractDistance education is an education model in which the lessons can be taught simultaneously using technical material without time and space restrictions. It has gained importance after the Covid-19 pandemic processes and has been implemented as a valid educational model in all educational institutions. Due to the sudden pandemic measures, distance education has brought about a lot of technical problems at unprepared educational institutions against the pandemic. In this paper, a classification approach is proposed by machine learning methods on Twitter instead of the usual structured research methods such as survey, one-on-one meeting for technical problems of distance education. The most encountered and commented distance education problem, which can be defined in different languages by the proposed method, have been analysed with Turkey example. Sentiment analysis has been made from negative and neutral tweets about distance education. The problems have been classified by natural language processing methods based on Turkish word analysis.en_US
dc.identifier.doi10.5944/openpraxis.13.3.215en_US
dc.identifier.endpage322en_US
dc.identifier.issn2304-070X
dc.identifier.issue3en_US
dc.identifier.scopusqualityQ2
dc.identifier.startpage312en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12885/2017
dc.identifier.volume13en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.institutionauthorYayla, Rıdvan
dc.institutionauthorOrtaç, Gizem
dc.institutionauthorBilgin, Turgay Tugay
dc.language.isoenen_US
dc.publisherINT COUNCIL OPEN & DISTANCE EDUCATIONen_US
dc.relation.ispartofOPEN PRAXISen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectClassificationen_US
dc.subjectCovid-19en_US
dc.subjectdistance educationen_US
dc.subjecteducation technologyen_US
dc.subjectmachine learningen_US
dc.titleA Classification Approach with Machine Learning Methods for Technical Problems of Distance Education: Turkey Exampleen_US
dc.typeArticleen_US

Dosyalar

Orijinal paket
Listeleniyor 1 - 1 / 1
Yükleniyor...
Küçük Resim
İsim:
10.5944_openpraxis.13.3.215.pdf
Boyut:
1.84 MB
Biçim:
Adobe Portable Document Format
Açıklama:
Tam Metin / Full Text
Lisans paketi
Listeleniyor 1 - 1 / 1
Küçük Resim Yok
İsim:
license.txt
Boyut:
1.44 KB
Biçim:
Item-specific license agreed upon to submission
Açıklama: