Please use this identifier to cite or link to this item: http://hdl.handle.net/11452/25667
Title: Analyzing learning styles of students to improve educational practices for computer literacy course
Authors: Başkan, Gülsün Atanur
Özdamlı, Fezile
Kanbul, Sezer
Özcan, Deniz
Uludağ Üniversitesi/Eğitim Fakültesi.
0000-0001-7826-7301
0000-0001-6935-346X
Uzun, Adem
Göktalay, Şehnaz Baltacı
Öncü, Semiral
Şentürk, Aysan
AAH-5144-2021
AAH-5779-2021
A-5306-2016
Keywords: Education & educational research
Learning styles
Learning preferences
Computer literacy course
Felder and soloman index of learning styles
Intervention
Achievement
Issue Date: 2012
Publisher: Elsevier
Citation: Uzun, A. vd. (2012). "Analyzing learning styles of students to improve educational practices for computer literacy course". ed. G. A. Başkan vd. Procedia Social and Behavioral Sciences, 4th World Conference on Educational Sciences (WCES-2012), 46, 4125-4129.
Abstract: Analyzing the students' learning style is a rather important factor in the preparation of learner-centered instructional design activities. The purpose of the present study was to determine the learning styles of students at Uludag University Faculty of Education in order to develop teaching strategies for the Computer Literacy Courses to be conducted in the future years. The study was conducted during the spring semester of the 2010 academic year. A total of 921 students from different departments of the faculty participated in this study. According to the data obtained from the study, it was concluded that students' learning style profiles were similar across all of the departments.
Description: Bu çalışma, 02-05 Şubat 2012 tarihleri arasında Barcelona[İspanya]’da düzenlenen 4. World Conference on Educational Sciences (WCES)’da bildiri olarak sunulmuştur.
URI: https://doi.org/10.1016/j.sbspro.2012.06.211
https://www.sciencedirect.com/science/article/pii/S1877042812019477?via%3Dihub
https://cyberleninka.org/article/n/331316
http://hdl.handle.net/11452/25667
ISSN: 1877-0428
Appears in Collections:Web of Science

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