Predicting students' performance is one of the most important topics for learning contexts
such as schools and universities, since it helps to design effective mechanisms that improve …

Student performance prediction (SPP) aims to evaluate the grade that a student will reach
before enrolling in a course or taking an exam. This prediction problem is a kernel task …

Student grade prediction (SGP) is an important educational problem for designing
personalized strategies of teaching and learning. Many studies adopt the technique of matrix …

For scholarly organizations, students' academic performance (AP) computes student
achievements in different academic subjects. Therefore, a systematic literature review based …

Analysis of log data generated by online educational systems is an essential task to better
the educational systems and increase our understanding of how students learn. In this study …

Educational data mining (EDM) contributes cutting-edge methodologies, strategies, and
applications to the advancement of the education system, hence playing a crucial part in its …

Learning analytics refers to the analysis of data generated in learning environments with the
aim of supporting and improving teaching and learning. Due to the increasing availability of …

Todays, artificial intelligence methods can extract the knowledge hidden in the educational
data sets by discovering the relationship between different features. This knowledge can …

This chapter introduces the thesis by presenting background information on the increasing
importance of technology for enhancing educational outcomes. The significance of and …

The goal of this dissertation is to examine factors such as how a student chooses to engage
with the online platform and time spent on individual tasks and draw conclusions to improve …