Student performance is a critical task in universities. By predicting student performance in
the early stage, we can identify students who need more attention to improve their learning …

New student admissions are critical to the success of an educational institution because they
determine the existence and financial sustainability of that institution. The number of …

This paper presents methods to improve the prediction of student academic performance
using feature selection by removing misclassified instances and Synthetic Minority Over …

In recent years, the world's population is increasingly demanding to predict the future with
certainty, predicting the right information in any area is becoming a necessity. One of the …

Data mining techniques is rapidly increasing in the research of educational domains.
Educational data mining aims to discover hidden knowledge and patterns about student …

The ABET accreditation requires Student Outcomes'(SO) direct assessment in various
courses. Outcome-based learning is what students learn as because of these assessments …

Predicting students' performance is one of the most important issue in educational data
mining. In order to investigate the state‐of‐the‐art research development in predicting …

Prediction of academic performance of students beforehand provides scope to universities
to lower their dropout rate and help the students in improving their performance. In this field …

In order to analyze the non-linear and uncertain relationships among the student-related
features, curriculum-related features as well as the environment-related features, and then …

Education is critical to society's prosperity; therefore, countries pay great attention to
improving the quality of the educational institutions and the learning processes by improving …