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

Autor/inn/en	Yayla, Ridvan; Yayla, Halime Nur; Ortaç, Gizem; Bilgin, Turgay Tugay
Titel	A Classification Approach with Machine Learning Methods for Technical Problems of Distance Education: Turkey Example
Quelle	In: Open Praxis, 13 (2021) 3, S.312-322 (11 Seiten) PDF als Volltext kostenfreie Datei Verfügbarkeit
Zusatzinformation	ORCID (Yayla, Ridvan) ORCID (Yayla, Halime Nur) ORCID (Ortaç, Gizem) ORCID (Bilgin, Turgay Tugay)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	2304-070X
Schlagwörter	Classification; Distance Education; Pandemics; COVID-19; Social Media; Natural Language Processing; Problems; Technical Assistance; Foreign Countries; Teaching Methods; Educational Attitudes; Educational Change; Models; Internet; Metadata; Student Attitudes; Teacher Attitudes; Computational Linguistics; Turkish; Turkey + Suchen Sie Ihr Suchwort? Classification system; Klassifikation; Klassifikationssystem; Distance study; Distance learning; Fernunterricht; Soziale Medien; Natürliche Sprache; Problemsituation; Technische Hilfe; Ausland; Teaching method; Lehrmethode; Unterrichtsmethode; Educational attitude; Bildungsverhalten; Erziehungseinstellung; Bildungsreform; Analogiemodell; Metadaten; Schülerverhalten; Lehrerverhalten; Linguistics; Computerlinguistik; Türkisch; Türkei
Abstract	Distance 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. (As Provided).
Anmerkungen	International Council for Open and Distance Education. Lilleakerveien 23, 0283 Oslo, Norway. Tel: +47-22-06-26-30; Fax: +47-22-06-26-31; e-mail: icde@icde.org; Web site: https://openpraxis.org/
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01