Educational data mining (EDM) is the application of data mining in the educational field.
EDM is used to classify, analyze, and predict the students' academic performance, and …

Machine learning is emerging nowadays as an important tool for decision support in many
areas of research. In the field of education, both educational organizations and students are …

The development of intelligent technologies gains popularity in the education field. The
rapid growth of educational data indicates traditional processing methods may have …

The rapid growth of educational data creates the requirement to mine useful information
from learning behavior patterns. The development of data mining technology makes …

Information literacy is a basic ability for college students to adapt to social needs at present,
and it is also a necessary quality for self-learning and lifelong learning. It is an effective way …

Numerous educational institutions utilize data mining techniques to manage student
records, particularly those related to academic achievements, which are essential in …

Student achievement prediction is one of the most important research directions in
educational data mining. Student achievement directly reflects students' course mastery and …

Data mining functionalities are used in almost every sector including education. Due to
continuous evolving information technology and decreasing cost of hardware, every …

Using log data of 823 university students collected in two settings: their online learning
setting and daily life setting (using campus ID cards for consumption purposes and book …

The field of Educational Data Mining concentrates on prediction more often as compared to
generating exact results for future purpose. In order to keep track of the changes occurring in …