A Comprehensive Exploration of Personalized Learning in Smart Education: From Student Modeling to Personalized Recommendations

S Wu, Y Cao, J Cui, R Li, H Qian, B Jiang… - arXiv preprint arXiv …, 2024 - arxiv.org
With the development of artificial intelligence, personalized learning has attracted much
attention as an integral part of intelligent education. China, the United States, the European …

[PDF][PDF] Enhancing Student's Performance Classification Using Ensemble Modeling

AA Nafea, M Mishlish, AMS Shaban, MM AL-Ani… - Iraqi Journal For …, 2023 - iasj.net
A precise prediction of student performance is an important aspect within educational
institutions to improve results and provide personalized support of students. However, the …

Factors Affecting Teachers Quality in Higher Vocational Colleges in Maoming City, China

G Qingyan, AS Azar, A Ahmad - International Journal of …, 2023 - openaccessojs.com
Purpose: For learning environments like schools and colleges, predicting students' success
is one of the most important issues since it aids in the creation of practical systems that …

ECSYAPPS–A framework for analyzing the effectiveness of classification techniques for early prediction of students academic performance in education sector

SM Dol, PM Jawandhiya - Engineering Applications of Artificial Intelligence, 2024 - Elsevier
Predicting students' academic performance is of paramount importance to educational
institutions. If students' academic performance is predicted course-wise, semester-wise and …

Factors Affecting Students Performance Mediated by Teachers Quality in Higher Vocational Colleges in Maoming City, China

G Qingyan, AS Azar, ARS Albattat - … Review: Int. J. Prof. Bus. Rev …, 2023 - dialnet.unirioja.es
Purpose: For learning environments like schools and colleges, predicting students' success
is one of the most important issues since it aids in the creation of practical systems that …

Adaptation of the Student Attitudes Toward Artificial Intelligence Scale to the Turkish Context: Validity and Reliability Study

P Derinalp, M Ozyurt - International Journal of Human–Computer …, 2024 - Taylor & Francis
This study aimed to adapt the Student Attitudes toward Artificial Intelligence (SATAI) Scale to
the Turkish Context both at secondary and high school levels. The research was conducted …

Performance evolution for sentiment classification using machine learning algorithm

F Hassan, NA Qureshi, MZ Khan… - Journal of Applied …, 2023 - polipapers.upv.es
Abstract Machine Learning (ML) is an Artificial Intelligence (AI) approach that allows systems
to adapt to their environment based on past experiences. Machine Learning (ML) and …

Prediction of Academic Outcomes Using Machine Learning Techniques: A Survey of Findings on Higher Education

P Valdiviezo-Diaz, J Chicaiza - International Conference on Applied …, 2023 - Springer
The growth of electronic data in educational institutions provides an opportunity to extract
information that can be used to predict students' academic performance and dropout rates …

[PDF][PDF] Performance Analysis for the Diagnosis of COVID-19 Prediction by Mathematical Modeling & Simulation

M Siddiqui, HA Kalwar, MZ Khan… - … Journal of Artificial …, 2023 - researchgate.net
Machine learning is a type of artificial intelligence (AI) method. The system can be conscious
and adaptable to changes in concepts when emphatically programmed for presence based …

Uso de la Ciencia de Datos para analizar la incorporación de una aplicación web en el campo educativo

RA Salas-Rueda - Revista Electrónica sobre Tecnología, Educación y …, 2023 - ctes.org.mx
La pandemia COVID-19 provocó un incremento acelerado en la incorporación de las
herramientas digitales en el proceso de enseñanza-aprendizaje. El objetivo de esta …