A Model Proposal on the Determination of Student Attendance in Distance Education with Face Recognition Technology

Autor/inn/en	Ozdemir, Durmus; Ugur, Mehmet Emin
Titel	A Model Proposal on the Determination of Student Attendance in Distance Education with Face Recognition Technology
Quelle	In: Turkish Online Journal of Distance Education, 22 (2021) 1, S.19-32, Artikel 2 (14 Seiten)Infoseite zur Zeitschrift PDF als Volltext kostenfreie Datei Verfügbarkeit
Zusatzinformation	ORCID (Ozdemir, Durmus) ORCID (Ugur, Mehmet Emin)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1302-6488
Schlagwörter	Attendance; Distance Education; Online Courses; Open Education; Integrated Learning Systems; Synchronous Communication; Recognition (Psychology); Computer Software; Video Technology; Visual Stimuli; Identification; Student Participation; Secondary School Students; Academic Achievement; Correlation; Foreign Countries; Turkey (Ankara) + Suchen Sie Ihr Suchwort? Anwesenheit; Distance study; Distance learning; Fernunterricht; Online course; Online-Kurs; Offene Erziehung; Offener Unterricht; Recognition; Wiedererkennen; Identifikation; Identifizierung; Schülermitarbeit; Schülermitwirkung; Studentische Mitbestimmung; Sekundarschüler; Schulleistung; Korrelation; Ausland
Abstract	The aim of this study is to present a model proposal on determining the student participation rate in synchronous courses given in Learning Management Systems (LMS). Especially in situations where equal opportunities cannot be provided or opportunities are limited, distance education provides benefits for learning anytime and anywhere (ubiquitous learning) with the support of educational technologies. When the literature is examined, thanks to distance education; It is seen that it offers a very advantageous teaching environment in terms of location, time, convenience in accessing the resources needed and cost-benefit. However, when the literature is analyzed, it is found that there is a problem in determining the participation levels and rates of students in the Learning Management Systems used in distance education. Students access the activity or course in LMS using text-based user information and passwords. Unfortunately, it is not possible to determine with the current LMS whether the participant is the real responsible person or he/she is actively/synchronously following the course. In this context, a design model has been presented using face recognition algorithms to determine attendance in distance education, to ensure more active participation and to increase success indirectly. In the proposed model, tests were made using special filters for image processing, and in cases where the number of samples was increased, more than 80% accuracy was provided. The proposed design model was developed in Visual Studio.Net platform and coded on C# programming language. SQL server is used as database management system and EmguCV library is used for the image processing stages. (As Provided).
Anmerkungen	Anadolu University. Office of the Rector, Eskisehir, 26470, Turkey. Tel: +90-222-335-34-53; Fax: +90-222-335-34-86; e-mail: rektor@anadolu.edu.tr; e-mail: TOJDE@anadolu.edu.tr; Web site: http://tojde.anadolu.edu.tr/
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01