Automatic learning styles prediction: A survey of the State-of-the-Art (2006–2021)

M Raleiras, AH Nabizadeh, FA Costa - Journal of Computers in Education, 2022 - Springer
Learning systems, whether traditional or computerized ones, often have a teacher-based
design and use a “one-size-fits-all” approach. This approach ignores learners' differences …

Differentiating the learning styles of college students in different disciplines in a college English blended learning setting

J Hu, Y Peng, X Chen, H Yu - PloS one, 2021 - journals.plos.org
Learning styles are critical to educational psychology, especially when investigating various
contextual factors that interact with individual learning styles. Drawing upon Biglan's …

A robust classification to predict learning styles in adaptive E-learning systems

I Azzi, A Jeghal, A Radouane, A Yahyaouy… - Education and …, 2020 - Springer
Abstract In E-Learning Systems, the automatic detection of the learners' learning styles
provides a concrete way for instructors to personalize the learning to be made available to …

AI student success predictor: Enhancing personalized learning in campus management systems

M Shoaib, N Sayed, J Singh, J Shafi, S Khan… - Computers in Human …, 2024 - Elsevier
Abstract Campus Management Systems (CMSs) are vital tools in managing educational
institutions, handling tasks like student enrollment, scheduling, and resource allocation. The …

A software architecture perspective about Moodle flexibility for supporting empirical research of teaching theories

M Campo, A Amandi, JC Biset - Education and Information Technologies, 2021 - Springer
Moodle represents a great contribution to the educational world since it provides an evolving
platform for Virtual Learning Management Systems (VLMS) that became a standard de facto …

[PDF][PDF] Prediction of Learner's Profile Based on Learning Styles in Adaptive E-learning System.

SV Kolekar, RM Pai, MP MM - International Journal of …, 2017 - pdfs.semanticscholar.org
The major requirement of e-learning system is to provide a personalized interface with
personalized contents which adapts to the learning styles of the learners. This is possible if …

A supervised learning framework: Using assessment to identify students at risk of drop** out of a MOOC

D Monllao Olive, DQ Huynh, M Reynolds… - Journal of Computing in …, 2020 - Springer
Both educational data mining and learning analytics aim to understand learners and
optimise learning processes of educational settings like Moodle, a learning management …

Model Detecting Learning Styles with Artificial Neural Network.

MS Hasibuan, LE Nugroho, PI Santosa - Journal of Technology and Science …, 2019 - ERIC
Currently the detection of learning styles from the external aspect has not produced optimal
results. This research tries to solve the problem by using an internal approach. The internal …

An artificial neural network (ann)-based learning agent for classifying learning styles in self-regulated smart learning environment

Y Gambo, M Shakir - … Journal of Emerging Technologies in Learning …, 2021 - learntechlib.org
The increasing development in smart and mobile technologies are transforming learning
environments into a smart learning environment. Students process information and learn in …

[Retracted] Predicting Course Grade through Comprehensive Modelling of Students' Learning Behavioral Pattern

D Hooshyar, Y Yang - Complexity, 2021 - Wiley Online Library
While modelling students' learning behavior or preferences has been found as a crucial
indicator for their course achievement, very few studies have considered it in predicting …