Predictive model of graduate-on-time using machine learning algorithms

N Mohammad Suhaimi, S Abdul-Rahman… - Soft Computing in Data …, 2019 - Springer
In most universities, the number of students who graduated on time reflect tremendously on
their operation costs. In such cases, the high number of graduate-on-time or GOT students …

[引用][C] Role of Machine Learning in Education: Performance Tracking and Prediction of Students

BS Reddy, S Shresta, S Sathhvika, PLM Shreya - Turkish Journal of Computer and …, 2022

Prediction graduate student use naive bayes classifier

A Meiriza, E Lestari, P Putra, A Monaputri… - … Technology and Its …, 2020 - atlantis-press.com
Student graduation is important in the accreditation assessment process. Because student
graduation there are standards that must be Achieved by the Study Program items, namely a …

[Retracted] Predicting Course Grade through Comprehensive Modelling of Students' Learning Behavioral Pattern

D Hooshyar, Y Yang - Complexity, 2021 - Wiley Online Library
While modelling students' learning behavior or preferences has been found as a crucial
indicator for their course achievement, very few studies have considered it in predicting …

Predicting Student Achievement before Final Exam: A Regression-Based Approach

MA Ma'sum - 2022 2nd International Conference on …, 2022 - ieeexplore.ieee.org
An early prediction of student achievement on a course is an important instrument to forecast
student accomplishment in the learning process. Besides, it is also functioned to help the …

Hybrid machine learning classifiers to predict student performance

H Turabieh - 2019 2nd international conference on new trends …, 2019 - ieeexplore.ieee.org
Recently, machine learning technology has been involved successfully in our life in an
extreme manner in various domains. In this paper, we investigate the machine learning …

Two-Stage PNN–SVM Ensemble for Higher Education Admission Prediction

K Zub, P Zhezhnych, C Strauss - Big Data and Cognitive Computing, 2023 - mdpi.com
In this paper, we investigate the methods used to evaluate the admission chances of higher
education institutions'(HEI) entrants as a crucial factor that directly influences the admission …

Prediction of student graduation with naive bayes algorithm

K Kusrini, AB Prasetio - 2020 Fifth International Conference …, 2020 - ieeexplore.ieee.org
The research carried out in this study is the development and analysis of student
performance in the academic field using the Naive Bayes algorithm so that it can help …

Application of machine learning on student data for the appraisal of academic performance

M Alloghani, D Al-Jumeily, A Hussain… - … on developments in …, 2018 - ieeexplore.ieee.org
Education With the inclusion and integration of internet and digital learning Education 2. 0
brought tools in the different context of education. The use of social networking concepts …

Machine Learning Algorithms based Student Performance Prediction based on Previous Records

S Chandrahasa, SMS Ganeshan… - 2023 7th …, 2023 - ieeexplore.ieee.org
Predicting a student's grade has become increasingly important in order to determine
whether or not the student will be placed In order to develop after this and obtain better …