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 …
provides a concrete way for instructors to personalize the learning to be made available to …
Apple leave disease detection using collaborative ml/dl and artificial intelligence methods: Scientometric analysis
Infection in apple leaves is typically brought on by unanticipated weather conditions such as
rain, hailstorms, draughts, and fog. As a direct consequence of this, the farmers suffer a …
rain, hailstorms, draughts, and fog. As a direct consequence of this, the farmers suffer a …
[PDF][PDF] Prediction of Learner's Profile Based on Learning Styles in Adaptive E-learning System.
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 …
personalized contents which adapts to the learning styles of the learners. This is possible if …
Community of practice: Converting IT graduate students into specialists via professional knowledge sharing
Purpose The paper aims to highlight how an applied learning framework or “community of
practice”(CoP) combined with a traditional theoretical course of study enables the …
practice”(CoP) combined with a traditional theoretical course of study enables the …
Design of a personalised adaptive ubiquitous learning system
With the advent of technological advancement in learning, such as context-awareness,
ubiquity and personalisation, various innovations in teaching and learning have led to …
ubiquity and personalisation, various innovations in teaching and learning have led to …
A learning style identification approach in adaptive e-learning system
H El Fazazi, A Samadi, M Qbadou, K Mansouri… - Information Systems and …, 2019 - Springer
Adaptive e-learning systems are considered one of the interesting research areas in
technology-based learning strategies. The main goal of these systems is to offer learns a …
technology-based learning strategies. The main goal of these systems is to offer learns a …
Advanced prediction of learner's profile based on Felder-Silverman learning styles using web usage mining approach and fuzzy c-means algorithm
YE Allioui - … Journal of Computer Aided Engineering and …, 2019 - inderscienceonline.com
Automatic prediction of learner's profile is an important requirement for personalised e-
learning. This can be provided based on the learning behaviours of the learners. In this …
learning. This can be provided based on the learning behaviours of the learners. In this …
[PDF][PDF] AFCM model to predict the learner style based on questionnaire and fuzzy C mean algorithm
Every learner follows a special Learning Style (LS), which enables him to learn and
understand efficiently; it is necessary to discover every learner's behavior and LS to offer him …
understand efficiently; it is necessary to discover every learner's behavior and LS to offer him …
Analysis for Visualizing Actors' Experiences in E-learning Spaces to Create an Active Learner's Profile
L Stanca, R Lacurezeanu… - 2019 6th International …, 2019 - ieeexplore.ieee.org
During the past ten years, the authors have developed a blended learning space provided
with web 2.0 features, which offers unique opportunities for the study, analysis and …
with web 2.0 features, which offers unique opportunities for the study, analysis and …
PREDIKSI TINGKAT KELULUSAN SISWA ELEARNING BERBASIS ALGORITMA FUZZY C-MEANS
Sulitnya melakukan prediksi sebuah kelompok belajar melahirkan banyak metode dalam
pengukuran, metode tersebut antara lain clustering. Pada metode ini termasuk jenis …
pengukuran, metode tersebut antara lain clustering. Pada metode ini termasuk jenis …