Educational Data mining (EDM) is a prominent field concerned with developing methods for
exploring the unique and increasingly large scale data that come from educational settings …

One of the key applications of Learning Analytics is offering an opportunity to the institutions
to track the students' academic activities and provide them with real-time adaptive …

Purpose This paper aims to evaluate educational data mining methods to increase the
predictive accuracy of student academic performance for a university course setting. Student …

Educational data mining has become an effective tool for exploring the hidden relationships
in educational data and predicting students' academic achievements. This study proposes a …

Despite improvement in the standard of education globally, students' failure rates have risen.
Data mining has been implemented in several domains, including education, for extracting …

All educational institutions always try to investigate the learning behaviors of students and
give early prediction toward student's outcomes for interventing and improving their learning …

Regression analysis is used to find the trends in the data. The analysis helps to find the
relationship between dependent and independent variables in the dataset. It also suggests …

Developing tools to support students and learning in a traditional or online setting is a
significant task in today's educational environment. The initial steps towards enabling such …

Now-a-days, research in educational mining focuses on modelling student's performance.
Many universities include large volumes of data related to student's details, performance …

In recent years, Neural Network (NN) has seen widespread and successful implementations
in a wide range of data mining applications, often surpassing other classifiers. This study …