Enhancing E-Learning Adaptability with Automated Learning Style Identification and Sentiment Analysis: A Hybrid Deep Learning Approach for Smart Education

T Hussain, L Yu, M Asim, A Ahmed, MA Wani - Information, 2024 - mdpi.com
In smart education, adaptive e-learning systems personalize the educational process by
tailoring it to individual learning styles. Traditionally, identifying these styles relies on …

An ensemble model with attention based mechanism for image captioning

I Al Badarneh, BH Hammo, O Al-Kadi - Computers and Electrical …, 2025 - Elsevier
Image captioning creates informative text from an input image by creating a relationship
between the words and the actual content of an image. Recently, deep learning models that …

GAT-LS: A Graph Attention Network for Learning Style Detection in Online Learning Environment

W Suo, BA Muhammad, Z Zhang, B Liu - Journal of Networking and …, 2024 - iecscience.org
In the context of the information age, the rapid growth and increasing diversity of learning
resources underscore the urgency of personalized learning, while learning style is the most …

Exploring students' mathematical reasoning in solving HOTs problems based on thinking styles

M Ilyas, NW Ashari, TB Kriswinarso… - Journal of Advanced …, 2024 - journal.foundae.com
Background: The advancement of technology has facilitated rapid access to information, yet
it poses challenges in discerning accurate information. In this context, critical thinking …

Evaluating the Effectiveness of Online Learning Methods with a Probabilistic Naive Bayes Approach

B Butsiarah, M Rijal - Journal of System and Computer …, 2025 - journal.unpacti.ac.id
Online learning methods become an important element in supporting the flexibility and
effectiveness of teaching and learning process, especially through approaches such as …