A Comparative Study of the Most Influential Learning Styles used in Adaptive Educational Environments

Abstract

E-learning has evolved from traditional content delivery approaches to a personalized, adaptive and learnercentered knowledge transfer. In the way of customizing the learning experience learning styles represent key features that cannot be neglected. Learning style designates any representative characteristic of an individual while learning, i.e. a particular way of dealing with a given learning task, the preferred media, or the learning strategies adopted in order to achieve a task. Despite the fact that the use of learning styles in adaptive educational environments has become controversial, but there is no empirical evidence of its usefulness. The main objective of our paper is to respond to the question "What learning style model is most appropriate for use in adaptive educational environments?"

Personalized Adaptive Learning Technologies Based on Machine Learning Techniques to Identify Learning Styles: A Systematic Literature Review

“…After the identification of accurate LSs, adaptive learning systems utilise the information to provide accurate personalisation leading to benefits for students, including increased student performance, satisfaction, learner engagement and time efficiency [2], [6], [8], [12], [13]. By students being aware of their LSs, they can self-regulate their learning, capitalise on their strengths and understand why they are struggling [14].…”

“…Although the surveys of recent review studies have addressed research on the global view of PAL [20], [21], [22], [23] from perspectives of the use of AI techniques [9] and theory of learning styles employed in adaptive e-learning [13], [24] environments, these SLRs have not considered and delved deeply into the application and integration of LS theories and AI techniques in adaptive e-learning systems to identify LSs automatically.…”

Enhanced Performance of the Automatic Learning Style Detection Model using a Combination of Modified K-Means Algorithm and Naive Bayesian

“…Currently, several learning styles have been used, such as Honey and Mumford, Kolbs, Felder Silverman Learning Style Model (FSLSM), and VAK [3]. There are also Gregorc's learning styles, Riding cognitive styles, and Myer-Briggs Type Indicator [4]. FSLSM is the most widely used learning style in the education system, which shows a high level of reliability, internal consistency, and validity [4]- [8].…”

“…There are also Gregorc's learning styles, Riding cognitive styles, and Myer-Briggs Type Indicator [4]. FSLSM is the most widely used learning style in the education system, which shows a high level of reliability, internal consistency, and validity [4]- [8]. This model defines student learning styles into four different dimensions (Active/Reflective, Sensitive/Intuitive, Visual/Verbal, Sequential/Global) based on student behavior patterns that use Elearning systems [6].…”

Relación entre los estilos y estrategias de aprendizaje en estudiantes de facultad de ingeniería de una Universidad en Colombia

“…A partir de estos rasgos distintivos las personas desarrollan estrategias para facilitar y optimizar el aprendizaje (Bertel y Martinez-Royert, 2012). Lo que implica el uso de una práctica pedagógica orientada hacia la diversidad, a partir de la identificación de estilos y ritmos de aprendizaje del estudiante (Geçit, y Delihasan, 2014, Alrabah, y Alotaibi, 2018 Para potencializar el estudiante un aprendizaje autónomo y efectivo, es necesario conocer los estilos y estrategias de aprendizaje y, articularlos con las metodologías de enseñanza y prácticas evaluativas docentes (Martinez-Royert, 2019), (Jazuli et al, 2019); (Zine et al, 2019). Las estrategias de aprendizaje en el nivel universitario están focalizadas en la auto regulación consciente que el estudiante tiene de su proceso, en la selección de las estrategias que utiliza para aproximarse al conocimiento a partir del reconocimiento de sus fortalezas y sus oportunidades de mejoras en su proceso para lograr el aprendizaje.…”