With the advances in Artificial Intelligence (AI) and the increasing volume of online
educational data, Deep Learning techniques have played a critical role in predicting student …

The purpose of this study was to determine the implementation of the moodle and edmodo
learning management system (LMS) in education, to identify the specific features of the LMS …

The ability to predict students' performance is important not only for the students but also for
academic stakeholders in higher education institutes. Predictions can be made by using …

Monitoring students' academic progress is vital for ensuring timely completion of their
studies and supporting at-risk students. Educational Data Mining (EDM) utilizes machine …

Researchers have observed the relationship between educational achievements and
students' demographic characteristics in physical classroom-based learning. In the context …

El presente estudio examina estrategias y herramientas que podrían usar las instituciones
de educación superior para identificar las variables más relevantes asociadas al …

The features present in large datasets significantly affect the performance of machine
learning models. Redundant and irrelevant features will be rejected and cause a decrease …

In the realm of education, the timely identification of potential challenges, such as learning
difficulties leading to dropout risks, and the facilitation of personalized learning, emphasizes …

Researchers have observed the relationship between academic achievements and
students' demographical characteristics in physical classroom-based learning. In the context …

PerformanceX is a proposed system that combines Educational Data Mining (EDM)
techniques to enhance student performance and reduce dropout rates. It employs a hybrid …