Pattern multiplicity of user interaction in learning management system can be intelligently examined to diagnose students’ learning style. Such patterns include the way the user navigate, the choice of the link provided in the system, the preferences of type of learning material, and the usage of the tool provided in the system. In this study, we propose mapping development of student character...

In order to improve students' teaching/learning processes computational systems have been developed allowing to adapt virtual courses based on the students' profiles. There are currently various kinds of adaptation such as instruccional adaptation of plans, assessments adaptation, and adaptation of educational contents, among others.The aim of this paper is to propose a fuzzy inference model fo...

Each learner has different preferences and needs. Therefore, it is very crucial to provide the different styles of learners with different learning environments that are more preferred and more efficient to them. This paper reports a study of the intelligent learning environment where the learner’s preferences are diagnosed, and then user interfaces are customized in an adaptive manner to accom...

This paper discusses the design of adaptive elearning system based on student’s learning styles. The system adaptivity is based on two learning style models, which are VAK and Felder. The VAK learning styles include visual, auditory, and kinesthetic, while the Felder learning styles include global and sequential. This system will combine these learning styles to alter its course presentation to...

This paper discusses the development of an adaptive e-learning system based on student’s learning styles by customizing an LMS Moodle. Two popular models of learning styles used are VAK and Felder. The VAK learning styles include visual, auditory, and kinesthetic, while the Felder learning styles include global and sequential. In order to accommodate the system adaptivity, some modules are crea...

Every student has a different learning style. Not all of these styles can be facilitated through classroom learning. Mobile (m-learning) is the use mobile technology to support activities and facilitate variety styles. However, no previous studies development m-learning products have tested possibility facilitating within single M-learning application. This study describes evaluation an adaptiv...

Different learners have different needs; they differ, for example, in their learning goals, their prior knowledge, their learning styles, and their cognitive abilities. Adaptive web-based educational systems aim to cater individual learners by customizing courses to suit their needs. In this paper, we investigate the benefits of incorporating learning styles and cognitive traits in web-based ed...

Online learning constitutes the most popular distance-learning method, with flexibility, accessibility, visibility, manageability and availability as its core features. However, current research indicates that its efficacy is not consistent across all learners. This study aimed to modify and extend the factors of the Technology Acceptance Model (TAM) to examine perceived satisfaction of an Arab...

This article makes two different contributions: an analysis of learning styles among undergraduate students in different academic programs, and a proposed regrouping of programs in order to improve teaching practice. The study was conducted in Mexico City in a Mexican private university (Instituto Tecnológico Autónomo de México ITAM), among a sampling of 753 first-year students in 11 undergradu...