An Intelligent System for Determining Learning Style

Autor/inn/en	Ozdemir, Ali; Alaybeyoglu, Aysegul; Mulayim, Naciye; Uysal, Muhammed
Titel	An Intelligent System for Determining Learning Style
Quelle	In: International Journal of Research in Education and Science, 4 (2018) 1, S.208-214 (8 Seiten) PDF als Volltext kostenfreie Datei Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	2148-9955
Schlagwörter	Cognitive Style; Computer Software; Measures (Individuals); Statistical Analysis; Gender Differences; Age; Academic Achievement; Foreign Countries; Artificial Intelligence; Turkey; Learning Style Inventory + Suchen Sie Ihr Suchwort? Cognitive styles; Kognitiver Stil; Messdaten; Statistische Analyse; Geschlechterkonflikt; Alter; Lebensalter; Schulleistung; Ausland; Künstliche Intelligenz; Türkei
Abstract	In this study, an intelligent system which determines learning style of the students is developed to increase success in effective and easy learning. The importance of the proposed software system is to determine convenience degree of the student's learning style. Personal information form and Dunn Learning Style Preference Survey are used to collect the data which are analyzed using the techniques of mean, standard deviation and t-test. Gender, age, and year of education are selected as the metrics for evaluation of the system performance. (As Provided).
Anmerkungen	International Journal of Research in Education and Science. Necmettin Erbakan University, Ahmet Kelesoglu Education Faculty, Meram, Konya 42090 Turkey. e-mail: ijresoffice@gmail.com; Web site: http://www.ijres.net
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01