[PDF][PDF] A comparative study of machine learning algorithms for virtual learning environment performance prediction

E Ismanto, HA Ghani, NIBM Saleh - IAES International Journal of …, 2023 - researchgate.net
Virtual learning environment is becoming an increasingly popular study option for students
from diverse cultural and socioeconomic backgrounds around the world. Although this …

[PDF][PDF] Predicting students' academic performance through machine learning classifiers: A study employing the Naive Bayes Classifier (NBC)

X Zheng, C Li - … Journal of Advanced Computer Science & …, 2024 - pdfs.semanticscholar.org
Modern universities must strategically analyze and manage student performance, utilizing
knowledge discovery and data mining to extract valuable insights and enhance efficiency …

[PDF][PDF] A predictive model for the determination of academic performance in private higher education institutions

F Makombe, M Lall - … Journal of Advanced Computer Science and …, 2020 - academia.edu
The growth and development of predictive models in the current world has influenced
considerable changes. Today, predictive modelling of academic performance has …

[BOOK][B] Sistem Perbandingan Algoritma K-Means dan Naive Bayes Untuk Memprediksi Prioritas Pembayaran Tagihan Rumah Sakit Berdasarkan Tingkat …

EA Novia, WI Rahayu, C Prianto - 2020 - books.google.com
Banyak kendala yang dihadapi dalam penyusunan buku ini dan kami menyadari bahwa
penyusunan buku ini masih belum sempurna. Ini mengingat keterbatasan pengetahuan …

Predictive model of student academic performance in private higher education institution (case in undergraduate management program)

S Noviaristanti, G Ramantoko, AT Hadi… - … Conference on Data …, 2022 - ieeexplore.ieee.org
A private university must consider many things in accepting prospective students. Students
enrolled are expected to stay until their studies are completed, have good academic …

Prediction of students' academic performance by K-means clustering

YL Goh, YH Goh, CC Yip, CH Ting… - Science Proceedings …, 2020 - readersinsight.net
Schooling system must provide high quality learning opportunities to meet the educational
needs and ensuring achievement for every student. All teachers monitor their students' …

Selection System of Madura Tourism Object as The Best Recommendation Based on Comparative Analysis of K-NN and Naive Bayes Methods

DR Anamisa, MR Rahabillah, A Jauhari… - … of Science and …, 2022 - ieeexplore.ieee.org
The current decision-making system is develo** very rapidly. Various methods can be
used to assist recommendations in the decision-making process. The technique chosen in …

[PDF][PDF] Prediction of student dropout using enhanced machine learning algorithm

G Sallan, S Behal - Advances in Mathematics: Scientific …, 2020 - research-publication.com
In this paper, an AI based expert system is proposed for predicting the reasons for drop out
students in the college using data mining classification technique. The proposed system …

[PDF][PDF] Learning Curve and Performance Monitoring of Students in Online Education using Artificial Intelligence

N Patil, M Patil, S Kadam, R Srivaramangai - academia. edu,. academia … - academia.edu
Online learning during the COVID-19 pandemic presents numerous challenges for students
and institutions, including technical issues, low attendance, poor attention, and time …

Implementation of the Analytical Hierarchy Process Method and Multi Objective Optimization on the Basis of Ratio Analysis in the Selection of Insurance Products

H Haviluddin, E Budiman, R Ramadhan - International Journal of …, 2022 - ijasca.org
Insurance product offerings are not always understood by prospective customers (CN) due
to limited information related to products. This can cause confusion so that CN does not want …