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 …

Improving the quality, developing and implementing systems that can provide advantages to
students, and predicting students' success during the term, at the end of the term, or in the …

The student academic performance prediction is becoming an indispensable service in the
computer supported intelligent education system. But conventional machine learning-based …

Data mining approach has been successfully implemented in higher education and emerge
as an interesting area in educational data mining research. The approach is intended for …

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 …

Measuring students performance is a challenging task that can help students and teachers
to keep track of progress of students performance. Mathematics is one of the basic pillars for …

Virtual learning environment is becoming an increasingly popular study option for students
from diverse cultural and socioeconomic backgrounds around the world. Although this …

Soft computing techniques are effective techniques that are used in prediction of noise in the
dataset which causes misclassification. In classification, it is expected to have perfect …

Educational Data Mining is a discipline focused on developing ways for studying the unique
and increasingly large-scale data generated by educational settings and applying those …

Abstract The Universal Access to Quality Tertiary Education Act is a law in the Philippines
that provides college students with free tuition and other fees in Philippine state universities …