Evaluating the achievements of computer engineering department of distance education students with data mining methods
Küçük Resim Yok
Tarih
2012
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Elsevier Science Bv
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
Recently, the internet technology has become an indispensable part of life, a very useful application that cannot be earlier have made it possible. One of these is distance learning technologies. Due to limitations of traditional learning-teaching methods in classroom activities and practitioners who intend to conduct training activities in the absence of the possibility of communication and interaction among learners with special education units are prepared and provided a wide range of media center through a certain method of teaching. According to a further recognition of Distance Education, although far away from each other with the student who teaches the same time (synchronous) or different time (asynchronous) communications with a tool as training system established. The aim of this study is to compare the achievements of Computer Engineering Department students in Karabuk University according to criteria such as age, gender, type of high school graduation and whether the students studying in distance education or regular education using data mining techniques. Also discussing the differences of the techniques according to the results and to make suggestions for which technique would be more effective. (C) 2011 Published by Elsevier Ltd.
Açıklama
1st World Conference on Innovation and Software Development (INSODE) -- OCT 02-10, 2011 -- Bahcesehir Univ, Istanbul, TURKEY
Anahtar Kelimeler
Distance Education, Data Mining, Decision Trees, Artificial Neural Network
Kaynak
First World Conference On Innovation and Computer Sciences (Insode 2011)
WoS Q Değeri
N/A
Scopus Q Değeri
Cilt
1
