Purpose The purpose of this paper is to develop a prediction model to study the factors
affecting the academic performance of students pursuing an undergraduate professional …

Academic success for students in any educational institute is the primary requirement for all
stakeholders, ie, students, teachers, parents, administrators and management, industry, and …

In Malaysia, the students' academic assessment has changed over time as it is now made to
be more holistic. Predictive models used for educational data in Malaysia are still …

Abstract Recently, Educational Data Mining (EDM), emerged as a new area of research due
to the enlargement of various statistical methods used to explore data in educational …

The need for educational managers and policy makers to design and implement
pedagogical and instructional interventions necessitates the development and validation of …

Educational data mining indicates an area of research in which the data mining, machine
learning, and statistics are applied to predict information from academic environment …

Measuring Student's performance is necessary for the mordent society. Applications of
Machine learning algorithms increased the growth in various fields like disease prediction …

In the current age, students‟ academic performance deterioration is a very crucial problem
in engineering education. Prediction of low-performing students at an early stage is …

The main assets of universities are students. The performance of students plays a vital role
in producing excellent graduate students who will be the future viable leader and manpower …

Student's performance is a major problem for the society. Rapid growth of technologies and
the application of differentmachine learning methodsin present years, the development of …