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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 …
Differentiating the learning styles of college students in different disciplines in a college English blended learning setting
Learning styles are critical to educational psychology, especially when investigating various
contextual factors that interact with individual learning styles. Drawing upon Biglan's …
contextual factors that interact with individual learning styles. Drawing upon Biglan's …
A robust classification to predict learning styles in adaptive E-learning systems
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 …
AI student success predictor: Enhancing personalized learning in campus management systems
Abstract Campus Management Systems (CMSs) are vital tools in managing educational
institutions, handling tasks like student enrollment, scheduling, and resource allocation. The …
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
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 …
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.
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 …
A supervised learning framework: Using assessment to identify students at risk of drop** out of a MOOC
Both educational data mining and learning analytics aim to understand learners and
optimise learning processes of educational settings like Moodle, a learning management …
optimise learning processes of educational settings like Moodle, a learning management …
Model Detecting Learning Styles with Artificial Neural Network.
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 …
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
The increasing development in smart and mobile technologies are transforming learning
environments into a smart learning environment. Students process information and learn in …
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 …
indicator for their course achievement, very few studies have considered it in predicting …