Educational Data Mining plays a critical role in advancing the learning environment by
contributing state-of-the-art methods, techniques, and applications. The recent development …

Featured Application The herein survey is among the first research efforts to synthesize the
intelligent models and paradigms applied in education to predict the attainment of student …

This survey is an updated and improved version of the previous one published in 2013 in
this journal with the title “data mining in education”. It reviews in a comprehensible and very …

The potential influence of data mining analytics on the students' learning processes and
outcomes has been realized in higher education. Hence, a comprehensive review of …

Artificial intelligence (AI) has penetrated every layer of our lives, and education is not
immune to the effects of AI. In this regard, this study examines AI studies in education in half …

Abstract Recently,“Big Data” has attracted not only researchers' but also manufacturers'
attention along with the development of information technology. In this paper, the concept …

Research has shown online learners' performance to have a strong association with their
demographic characteristics, such as regional belonging, socio-economic standing …

Predicting the students' performance has become a challenging task due to the increasing
amount of data in educational systems. In keeping with this, identifying the factors affecting …

The adaptive educational systems within e-learning platforms are built in response to the
fact that the learning process is different for each and every learner. In order to provide …

Classification is a data mining (machine learning) technique used to predict group
membership for data instances. There are several classification techniques that can be used …