Adaptive E-learning Systems (AESs) enhance the efficiency of online courses in education by providing personalized contents and user interfaces that changes according to learner’s requirements and usage patterns. This paper presents the approach to generate learning profile of each learner which helps to identify the learning styles and provide Adaptive User Interface which includes adaptive le...

OBJECTIVE The present study aimed to identify the most common learning preferences among the nursing students in Saudi Arabia and to investigate the associations of certain demographic variables with the learning preferences. METHODS All the undergraduate nursing students in the nursing college were requested to participate in this descriptive cross-sectional study. An Arabic version of the F...

This paper explores students’ learning styles in relation to learning strategies in web-based learning environments, and in particular, how academic discipline and gender differences affect learning styles and learning strategies in web-based learning for college students in Taiwan. The results show that regardless of learning strategy, academic discipline or gender, the visual type learner is ...

The increasing development in smart and mobile technologies are transforming learning environments into a environment. Students process information learn different ways, this can affect the teaching process. To provide system capable of adapting contents based on student's behavior environment, automated classification learners' patterns offers concrete means for teachers to personalize student...

In this paper we present a solution that is a continuation of work done in the field of adaptive educational systems. It is an approach oriented objectives based on ontologies, multi-agent system and Bayesian networks to generate dynamically personalized learning paths. The dynamic aspect is essential for each learning session in the context of this solution, because the learning paths meet the...

Considering the increasing importance of adaptive approaches in CALL systems, this study implemented a machine learning based student modeling middleware with Bayesian networks. The profiling approach of the student modeling system is based on Felder and Silverman’s Learning Styles Model and Felder and Soloman’s Index of Learning Styles Questionnaire. The questionnaire was adapted to Turkish fo...

One goal of our research is to create tutorials that span the spectrum of learning styles and personality types. As previously noted, we have chosen to measure learning styles using the Felder/Solomon model and are measuring personality preferences using the Myers Briggs Type Indicator (MBTI). In order to gain insight into the effectiveness of the tutorials across different learning styles and ...

Personalized recommenders have proved to be of use as a solution to reduce the information overload ‎problem. Especially in Adaptive Hypermedia System, a recommender is the main module that delivers ‎suitable learning objects to learners. Recommenders suffer from the cold-start and the sparsity problems. ‎Furthermore, obtaining learner’s preferences is cumbersome. Most studies have only focused...

It is crucial for a teacher to take students’ learning styles into account to enhance teaching effectiveness. This study examines correlations between students’ learning styles and their performance in writing and debugging Java programs. Eighty-four college freshmen who enrolled in two introductory Java programming courses participated in this study. Students were given the Soloman-Felder Inde...

One of the main concerns when providing learning style adaptation in Adaptive Educational Hypermedia Systems is the number of questions the student has to answer. With respect to learning styles, it is possible to decrease the number of versions taking into account the general tendency of the student and not the specific score obtained in each dimension. In this paper we present a new approach ...