Data Mining Studies in Education: Literature Review For The Years 2014-2020

Year 2022, Volume: 17 Issue: 33, 342 - 376, 31.03.2022

Zehra Bilici , Durmuş Özdemir

https://doi.org/10.35675/befdergi.849973

Cited By: 5

Abstract

Data mining is one of the important and beneficial technological developments in education and its usage area is becoming widespread day by day as it includes applications that contribute positively to teaching activities. It is possible to make teaching activities more effective and efficient by transforming the raw data in the field of education into meaningful using data mining techniques. Studies carried out in the field of education between 2014-2020 with data mining methods were scanned from the "Science Direct" database. It was determined that 60 articles from the scanning studies were directly related to data mining in education. The studies include issues such as the development of e-learning systems, pedagogical support, clustering of educational data, and student performance predictions. These selected articles were analyzed in terms of purpose, application area, method, and contribution to the literature. The aim of the study is to group the work carried out in the field of education under specific headings using the data mining process, to evaluate its methods and objectives, and to direct the individuals who will work in this field.

Keywords

Data mining in education, Data mining Technologies, Technologies for teaching, Trends in education

Eğitimde Veri Madenciliği Çalışmaları: 2014-2020 Yılları Literatür Taraması

Abstract

Veri madenciliği eğitimde önemli ve faydalı teknolojik gelişmelerden biridir ve öğretim faaliyetlerine olumlu yönde katkı sağlayan uygulamaları içerdiği için kullanım alanı gün geçtikçe yaygınlaşmaktadır. Veri madenciliği teknikleri kullanılarak eğitim alanındaki ham verilerin anlamlı hale getirilmesi ile öğretim etkinliklerinin daha etkin ve verimli hale getirilmesi mümkündür. Veri madenciliği yöntemleriyle 2014-2020 yılları arasında eğitim alanında yapılan çalışmalar "Science Direct" veri tabanından tarandı. Tarama çalışmalarından 60 makalenin eğitimde veri madenciliği ile doğrudan ilişkili olduğu tespit edilmiştir. Bu çalışmalar e-öğrenme sistemlerinin geliştirmesi, pedagojik destek, eğitim verilerinin kümelenmesi, öğrenci performans tahminleri gibi konuları içermektedir. Bu çalışmada eğitim alanında veri madenciliği yöntemi kullanılarak 2014 ile 2020 yılları arasında yapılmış araştırmalar “Science Direct” platformu üzerinden taranmıştır. Seçilen bu 60 adet makale, makalenin amacı, uygulama alanı ve örneklem, metot ve yöntemi, literatüre katkısı şeklinde tasnif edilerek sunulmuştur. Araştırmada; veri madenciliği yöntemi kullanılarak eğitim alanında yapılan çalışmaları belirli başlıklar altında gruplamak, yöntemlerini ve amaçlarını belirlemek ve bu alanda çalışacak olan kişilere yön göstermek amaçlanmıştır.

Keywords

Eğitimde veri madenciliği, Veri madenciliği teknolojileri, Öğretim teknolojileri, Eğitimde yeni yaklaşımlar

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