Automatic learning styles prediction: A survey of the State-of-the-Art (2006–2021)
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 …
design and use a “one-size-fits-all” approach. This approach ignores learners' differences …
Personalisation methods in e‐learning‐A literature review
Over the years, personalisation in e‐learning has evolved as a promising paradigm for
matching learners' specific requirements. Although many literature reviews on personalised …
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 …
the potential to enhance individuals' learning capacities. This research endeavors to devise …
AI-based learning style prediction in online learning for primary education
Online learning has been widely applied due to developments in information technology.
However, there are fewer relevant evaluations and applications for primary school students …
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
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 …
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 …
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 …
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 …
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 …
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 …
understanding the learning style, students will learn about their needs in the learning …