Students' performance prediction using machine learning algorithms: a comparative study

KK Eldose, R Agarwal, P Dabhade… - … and Opportunities in …, 2024 - taylorfrancis.com
The academic performance of students is of significant importance for every educational
institution. Educational data mining has acquired a significant interest in recent years as …

Teaching through virtual tools and its effect on the perception of student satisfaction

CG León Velarde, O Chamorro-Atalaya… - 2022 - repositorio.utp.edu.pe
In this context of virtualization, the educational sector has seen the need to make use of
technological advances, for this reason it is important to know the perception of students …

PENERAPAN DATA MINING DENGAN ALGORITMA C4. 5 UNTUK MEMPREDIKSI PENYAKIT STROKE OTAK

Z Rivliansyah - 2023 - repository.unama.ac.id
Pada tahun 2019 organisasi kesehatan dunia (WHO) mendudukkan stroke sebagai tujuh
dari sepuluh penyebab utama kematian, stroke otak tidak bisa dianggap penyakit biasa …

A Comprehensive Review of Data Mining Usage in Education

S Kilicer, R Samli - Analyzing Multidisciplinary Uses and Impact of …, 2022 - igi-global.com
In this chapter, the data mining method in the field of education will be examined, an
emerging technology. In this study, studies conducted since 2011 using data mining method …

Functionality of the learning platform and its effect on the satisfaction of students in the online teaching environment

CG León Velarde, OF Chamorro-Atalaya… - 2022 - repositorio.utp.edu.pe
The objective of this article is to identify the results of the functionality of the learning platform
and its effect on the satisfaction of mechanical and electrical engineering students. The …

Prediction of student success: A smart data-driven approach

ARA Pinto - 2022 - repositorio.iscte-iul.pt
Predicting student's academic performance is one of the subjects related to the Educational
Data Mining process, which intends to extract useful information and new patterns from …

Predicting Licensure Examination Performance Using Data Mining Techniques

MN Velasco, AA Malabuyoc… - … on Business and …, 2023 - ieeexplore.ieee.org
Data mining is the process of identifying anomalies, trends, and correlations in massive
historical data sets in order to predict future events. The aim of this paper is to use data …

Kajian Kinerja Metode Support Vector Machine Dan Neural Tangent Kernel Untuk Memprediksi Hasil Ujian Siswa

S Suryanto, P Sirait - Jurnal TIMES, 2021 - ejournal.stmik-time.ac.id
Data mining adalah salah satu teknik yang sangat populer dan bagus untuk prediksi. Salah
satu algoritma yang sangat populer dalam data mining adalah SVM. Tetapi SVM ini memiliki …

Pandemi Sürecinde Uzaktan Eğitimde Senkron, Asenkron Ve Hibrit Yapılmış Derslerde Veri Madenciliği İle Öğrenci Performans Analizi

S Kırışoğlu, M Yıldırım - Düzce Üniversitesi Bilim ve Teknoloji Dergisi - dergipark.org.tr
Günümüzde üniversite öğrencilerinin eğitime ve eğitim materyallerine internetten erişim
oranları oldukça artmıştır. Eğitimde internetin kullanılması ve ders materyallerine erişimin …

[PDF][PDF] Decision Analytics Journal

S Biswas, G Bandyopadhyay, JN Mukhopadhyaya - researchgate.net
The recent pandemic has been the greatest catastrophic event in the last century that has
left its irrevocable effect on the socio-economic and cultural environment. The current work …