Quality Assurance in Distance Education through Data Mining.

MT Saritas, C Börekci, S Demirel - … Journal of Technology in Education and …, 2022 - ERIC
Learning Management Systems (LMS) are software applications that facilitate the
management and monitoring of online teaching courses and/or training programs …

Enhancing personalized learning with explainable AI: A chaotic particle swarm optimization based decision support system

R Parkavi, P Karthikeyan, AS Abdullah - Applied Soft Computing, 2024 - Elsevier
In the realm of Educational Technology, personalized learning is pivotal, yet predicting
students' learning abilities based on learning styles and ICT remains challenging. We …

Leveraging Learning Analytics to Improve Student Engagement

H Cigdem, S Öncü - … on Learning Analytics for Maximizing Student …, 2023 - igi-global.com
This chapter delves into the transformative field of learning analytics, providing a
comprehensive overview of models and strategies aimed at increasing student engagement …

[PDF][PDF] Machine Learning-based E-Learners' Engagement Level Prediction using Benchmark Datasets

CI Eke - Machine Learning, 2023 - ijais.org
The wide adoption of e-learning especially during and after the pandemic has given rise to
the concern of learners' motivation and involvement. E-leaner engagement level recognition …

Model Prediksi Prestasi Mahasiswa Berdasarkan Evaluasi Pembelajaran Menggunakan Pendekatan Data Science

T Tommy, AM Husein - Data Sciences Indonesia (DSI), 2021 - jurnal.itscience.org
Perguruan tinggi merupakan satuan penyelenggara pendidikan tinggi sebagai tingkat lanjut
jenjang pendidikan menengah di jalur pendidikan formal. Aspek prestasi belajar merupakan …

A case study on the data mining-based prediction of students' performance for effective and sustainable e-learning

E Staneviciene, D Gudoniene, V Punys, A Kukstys - Sustainability., 2024 - epubl.ktu.edu
Abstract [eng] The study explores the application of data analytics and machine learning to
forecast academic outcomes, with the aim of ensuring effective and sustainable e-learning …

Identifying the factors affecting students' academic achievement using machine learning algorithms

FH Kaya - 2022 - gcris.ktun.edu.tr
Bu tez çalışmasında makine öğrenmesi algoritmaları kullanılarak öğrencilerin akademik
başarısınıetkileyen faktörlerin tespit edilmesi amaçlanmaktadır. Araştırmada ilk veri seti …

Prediction on Impact of Electronic Gadgets in Students Life using Machine Learning

K Saraswathi, B Devadharshini… - 2023 7th International …, 2023 - ieeexplore.ieee.org
Nowadays electronic gadgets play an important role in students' life as a source of learning.
The Dependency of services provided by electronic gadgets has reached a large scale …

Predicting Time to Graduation of Open University Students: An Educational Data Mining Study

A Santoso, H Retnawati, Kartianom, E Apino… - Open Education …, 2024 - degruyter.com
The world's move to a global economy has an impact on the high rate of student academic
failure. Higher education, as the affected party, is considered crucial in reducing student …

[PDF][PDF] Inteligência artificial na educaçao

RH Martins, HB Viana - Internet Latent Corpus …, 2022 - repositorio.pgsscogna.com.br
RESUMO O presente trabalho relata o uso de ferramentas digitais baseadas em
inteligência artificial no processo de aprendizado de alunos em todas as fases de …