AI-based learning style detection in adaptive learning systems: a systematic literature review
The integration of AI in education, particularly in adaptive learning, emphasizes the critical
need for automatic detection of individual learning styles. Traditional methods such as tests …
need for automatic detection of individual learning styles. Traditional methods such as tests …
[HTML][HTML] Towards human-centered artificial intelligence (AI) in architecture, engineering, and construction (AEC) industry
Over the years, AI has been utilized as a powerful tool to address complex challenges in the
AEC industry. In the current AI practices, machines predominantly plan, manage, control …
AEC industry. In the current AI practices, machines predominantly plan, manage, control …
A personalized learning service compatible with moodle e-learning management system
YC Chang, JW Li, DY Huang - Applied Sciences, 2022 - mdpi.com
Among the numerous learning management platforms, Moodle is free, open-source software
supporting expanding and modularized system functions and services to facilitate online …
supporting expanding and modularized system functions and services to facilitate online …
An evolving learning style detection approach for online education using bipartite graph embedding
The increasingly widespread online education recently enabled a new form of teaching,
learning, and overall educational outcome. However, the need of personalization is required …
learning, and overall educational outcome. However, the need of personalization is required …
Enhancing online education recommendations through clustering-driven deep learning
The rapid growth of online education platforms has necessitated the development of
sophisticated recommendation systems to help learners navigate the vast array of available …
sophisticated recommendation systems to help learners navigate the vast array of available …
Development of an AI predictive model to categorize and predict online learning behaviors of students in Thailand
J Chonraksuk, S Boonlue - Heliyon, 2024 - cell.com
This qualitative study has three objectives:(1) to develop a predictive AI model to categorize
the online learning behavior of Thai students who study through a Thai Massive Open …
the online learning behavior of Thai students who study through a Thai Massive Open …
Students' perceptions of ils as a learning-style-identification tool in e-learning environments
This paper presents the evaluation of the Index of Learning Styles, an assessment tool of the
Felder–Silverman learning model. A few studies have previously evaluated this tool, but as …
Felder–Silverman learning model. A few studies have previously evaluated this tool, but as …
Enhancing E-Learning Adaptability with Automated Learning Style Identification and Sentiment Analysis: A Hybrid Deep Learning Approach for Smart Education
In smart education, adaptive e-learning systems personalize the educational process by
tailoring it to individual learning styles. Traditionally, identifying these styles relies on …
tailoring it to individual learning styles. Traditionally, identifying these styles relies on …
Unlocking teachers' potential: MOOCLS, a visualization tool for enhancing MOOC teaching
Abstract Massive Open Online Courses (MOOCs) are revolutionizing online education and
have become a popular teaching platform. However, traditional MOOCs often overlook …
have become a popular teaching platform. However, traditional MOOCs often overlook …
Early prediction of students' final grades in a gamified course
The main challenge in higher education is student retention. While many methods have
been proposed to overcome this challenge, early and continuous feedback can be very …
been proposed to overcome this challenge, early and continuous feedback can be very …