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 …

Personalisation methods in e‐learning‐A literature review

V Mikić, M Ilić, L Kopanja… - Computer Applications in …, 2022 - Wiley Online Library
Over the years, personalisation in e‐learning has evolved as a promising paradigm for
matching learners' specific requirements. Although many literature reviews on personalised …

[HTML][HTML] Enhancing personalized learning: AI-driven identification of learning styles and content modification strategies

MKH Kanchon, M Sadman, KF Nabila… - International Journal of …, 2024 - Elsevier
In the rapidly advancing era of educational technology, customized learning materials have
the potential to enhance individuals' learning capacities. This research endeavors to devise …

AI-based learning style prediction in online learning for primary education

B Pardamean, T Suparyanto, TW Cenggoro… - IEEE …, 2022 - ieeexplore.ieee.org
Online learning has been widely applied due to developments in information technology.
However, there are fewer relevant evaluations and applications for primary school students …

Linear support vector machines for prediction of student performance in school‐based education

N Naicker, T Adeliyi, J Wing - Mathematical Problems in …, 2020 - Wiley Online Library
Educational Data Mining (EDM) is a rich research field in computer science. Tools and
techniques in EDM are useful to predict student performance which gives practitioners …

A multiple linear regression-based approach to predict student performance

O El Aissaoui, Y El Alami El Madani, L Oughdir… - … conference on advanced …, 2019 - Springer
Predicting students' academic outcome is useful for any educational institution that aims to
ameliorate students' performance. Based on the resulted predictions, educators can provide …

Adaptive learning style prediction in e-learning environment using levy flight distribution based CNN model

S Alshmrany - Cluster Computing, 2022 - Springer
A learning style that focuses on individual learning is one of the most important aspects of
any learning environment. Each learner has a unique manner of understanding, retaining …

[PDF][PDF] The design of an adaptive E-learning model based on Artificial Intelligence for enhancing online teaching

M Kaouni, F Lakrami, O Labouidya - International Journal of …, 2023 - researchgate.net
Nowadays, teaching involves more and more the usage of digital tools to accompany face-to-
face learning. Such a system is being referred to as hybrid teaching. These digital tools …

A learning style-based Ontology Matching to enhance learning resources recommendation

O EL AISSAOUI, L OUGHDIR - 2020 1st international …, 2020 - ieeexplore.ieee.org
Content-based recommender systems (CBRS) are widely used in various domains including
the E-leaning. In the E-learning field, a content-based recommender system aims to …

Student behavior analysis to predict learning styles based felder silverman model using ensemble tree method

Y Ikawati, MUH Al Rasyid… - … International Journal of …, 2021 - emitter2.pens.ac.id
Learning styles are very important to know so that students can learn effectively. By
understanding the learning style, students will learn about their needs in the learning …