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Using Big Data in Education: Curriculum Review with Educational Data Mining   
Yazarlar (2)
Doç. Dr. Yusuf Ziya OLPAK Doç. Dr. Yusuf Ziya OLPAK
Türkiye
Prof. Dr. Mustafa YAĞCI Prof. Dr. Mustafa YAĞCI
Kırşehir Ahi Evran Üniversitesi, Türkiye
Devamını Göster
Özet
Today, most educational institutions have become more interested in big data. Because the importance of extracting useful information from educational data to support decision-making on educational issues has increased day by day. In this context, through educational data mining, this research study aims to reveal the association rules among compulsory courses in the Computer Education and Instructional Technology curriculum within the faculty of education of a state university in Turkey. In this context, the research was conducted with data obtained from 258 preservice teachers who had completed all of their compulsory courses (n = 42) for the Computer Education and Instructional Technology curriculum, having graduated from the Computer Education and Instructional Technology program between 2012 and 2020. According to the experimental results, the academic performance of preservice teachers in some courses could be used as a predictor of their academic performance in other courses. Other findings from the study are discussed in detail, and suggestions put forth for future research.
Anahtar Kelimeler
Makale Türü Özgün Makale
Makale Alt Türü Diğer hakemli uluslarası dergilerde yayınlanan tam makale
Dergi Adı Journal of Teacher Education and Lifelong Learning
Dergi ISSN 2687-5713
Dergi Tarandığı Indeksler Education Full Text (H. W. Wilson) Database Covarage List
Makale Dili Türkçe
Basım Tarihi 12-2022
Cilt No 4
Sayı 2
Sayfalar 181 / 195
Makale Linki https://dergipark.org.tr/tr/download/article-file/2724123
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