Predicting student's performance using machine learning

VA Sungar, PD Shinde, MV Rupnar - Communications on Applied …, 2017 - caeaccess.org
Education plays vital role in a student's life. While choosing any field, number of options
available in front of student. Student's marks, aptitude, family background, educational …

Prediction of Student's Academic Performance Using Machine Learning-Systematic Review

AK Gupta, C Khosla - … of the International Conference on Innovative …, 2021 - papers.ssrn.com
Education has a crucial role to play in the life of a student. During your choice of area,
several options before the student are offered. Student skills, ability, family history, the …

[PDF][PDF] Prediction of student's performance based on incremental learning

P Kulkarni, R Ade - International Journal of Computer Applications, 2014 - Citeseer
It is necessary to use Student dataset in order to analyze student's performance for future
improvements in study methods and overall curricular. Incremental learning methods are …

An incremental ensemble of classifiers as a technique for prediction of student's career choice

R Ade, PR Deshmukh - 2014 First International Conference on …, 2014 - ieeexplore.ieee.org
The ability to predict the career of students can be beneficial in a huge number of different
techniques which are connected with the education structure. Student's marks and the result …

Students performance prediction using hybrid classifier technique in incremental learning

R Ade - International Journal of Business Intelligence and …, 2019 - inderscienceonline.com
The performance in higher education is a turning point in the academics for all students. This
academic performance is influenced by many factors, therefore, it is essential to develop …

Classification of students by using an incremental ensemble of classifiers

R Ade, PR Deshmukh - Proceedings of 3rd International …, 2014 - ieeexplore.ieee.org
The amount of students data in the education system databases is growing day by day, so
the knowledge taken out from these data need to be updated continuously. The training set …

Efficient knowledge transformation system using pair of classifiers for prediction of students career choice

R Ade, PR Deshmukh - Procedia Computer Science, 2015 - Elsevier
The ability to predict the career of students can be beneficial in a huge number of different
techniques which are connected with the education structure. Student's marks in …

[PDF][PDF] Classification algorithm accuracy improvement for student graduation prediction using ensemble model

AC Lagman, LP Alfonso, MLI Goh, JP Lalata… - International Journal of …, 2020 - ijiet.org
Statistics, almost half of the first-time freshmen full time students who began seeking a
bachelor's degree do not graduate. The imbalance between the student enrolment and …

[PDF][PDF] Machine learning algorithms and ensemble technique to improve prediction of students performance

R Singh, S Pal - International Journal of Advanced Trends in …, 2020 - academia.edu
Measuring Student's performance is necessary for the mordent society. Applications of
Machine learning algorithms increased the growth in various fields like disease prediction …

Student Performance Analysis with Ensemble Progressive Prediction

B Althaph, SVN Sreenivasu… - 2023 5th International …, 2023 - ieeexplore.ieee.org
It is essential to have an accurate prediction of students' future performance in order to
properly carry out the necessary pedagogical interventions that are required to assure …