Data Mining is a multidisciplinary analyzing process that concentrating to extract and
discover useful knowledge from data and information. The field of high education …

Accurate predictions of students' academic performance at early stages of the degree
programme helps in identification of the weak students and enable management to take the …

The presented work is a student marks and grade prediction system using supervised
machine learning techniques, the system is developed on the historic performance of …

This study focused on the generation of the licensure examination performance models
implementing PART and JRip classifiers. Specifically, it identified the attributes that are …

Every year thousands of students get admitted into different universities in Bangladesh.
Among them, a large number of students complete their graduation with low scoring results …

In the era of globalization, student placement is very challenging issue for all educational
institutions. For engineering institutions, placement is a key factor to maintain good ranking …

Student‟ s performance is the most important value of the educational institutes for their
competitiveness. In order to improve the value, they need to predict student‟ s performance …

Prediction of student's performance became an urgent desire in most of educational entities
and institutes. That is essential in order to help at-risk students and assure their retention …

The ultimate goal of any educational institution is offering the best educational experience
and knowledge to the students. Identifying the students who need extra support and taking …

The aim of this study is to analyze factors affecting academic achievement that contribute to
the prediction of students' academic performance. It is useful in identifying weak students …