Relations between Learning Style and Learner Behavior in an Educational Hypermedia System: An Exploratory Study

Author(s):  
Elvira Popescu ◽  
Philippe Trigano ◽  
Costin Badica
Author(s):  
Aymane Qodad ◽  
Abdelilah Benyoussef ◽  
Abdallah El Kenz ◽  
Mourad Elyadari

In this paper we introduce a new design of an adaptive educational hypermedia system for job seekers, this proposal is based, for the part of learning objectives, on a job model which allows adapting the content and the path of education to the intended jobs, and, for the learner model construction, on a specific use of the learning styles of Felder and Silverman. First, we present existing literature to give a general review on adaptive edu-cational hypermedia systems, in that way; we have reported the related items to different notions in the adaptive educational Systems area as the differentiated pedagogy, the learning objects, and the learner profile. Then we argued our choice of the components of our model and we detailed the new ones. As designed, the model can produce a suitable learning path for the user to match the job characteristics and the learning style of the person in order to help the user owning the job sought. With the possibility of linking the required com-petencies to the education skills, we aim to map business tasks to learning activi-ties. Based on this approach, we designed an Adaptive Educational Hypermedia System named AEHS-JS that will help to improve the efficiency and pragmatism of job search activities. In plus of the social impact of this work as it help job seekers to complete their profiles and get the career they are looking for, this work will allow companies to find the candidates that match the job criteria sought.


Author(s):  
Gladys Castillo ◽  
João Gama ◽  
Ana M. Breda

This chapter presents an adaptive predictive model for a student modeling prediction task in the context of an adaptive educational hypermedia system (AEHS). The task, that consists in determining what kind of learning resources are more appropriate to a particular learning style, presents two issues that are critical. The first is related to the uncertainty of the information about the student’s learning style acquired by psychometric instruments. The second is related to the changes over time of the student’s preferences (concept drift). To approach this task, we propose a probabilistic adaptive predictive model that includes a method to handle concept drift based on statistical quality control. We claim that our approach is able to adapt quickly to changes in the student’s preferences and that it should be successfully used in similar user modeling prediction tasks, where uncertainty and concept drift are presented.


2018 ◽  
Author(s):  
Arab World English Journal ◽  
Kun Aniroh ◽  
Latifah Hanum ◽  
Arfiyan Abdul Ghoffar Ariyanto

The purpose of this paper is to study the effectiveness communication of YouTube live streaming (YTL) among the students of English Department at State Islamic University of Maulanan Malik Ibrahim Malang, Indonesia concerning the teaching effectiveness. The sample of the study is 45 students of English Department who took Tourism and Guiding II in the sixth semester 2016/2017 as the elective subject. The researchers adopted exploratory study by distributing questionnaires on the communication effectiveness, learning effectiveness and You–tube Live Streaming implementation. The instrument had 15 items in which each point had five items with a three –point Likert scale. The findings show that the communication effectiveness of YTL was considered good in spite of the absence of the teacher and the noise disturbance, the learning effectiveness was increasing due to the students’ own learning style, comfortable feeling and the repetition of video display. To implement YTL teachers’ digital literacy is highly needed. On the implementation of YouTube –live streaming for teaching it is the responsibility of the school or campus management. The researchers recommends conducting further study on teachers’ digital literacy, and teachers’ made YouTube-live streaming materials.


This paper describes how to improve the academic performance of engineering university students through an Adaptive Educational Hypermedia System (AEHS). The psychological basis, learning styles and MOOMH methodology for the development of the system are exposed, which with its implementation achieves adaptability and works for students as an “intelligent tutor”, allowing them to guide their education as academic tutor. Not only shows its content that meets the needs of the student, but it is also represented in elements such as color adaptation, work tools and even academic recommendations based on the interactions that the user makes within the system, the system recognizes its pattern of use, and when the student is logged in again, it presents a friendlier interface that the student prefers use, it is wider in content and, above all, easy to use and understand. In addition, the AEHS allows to extend education allowing the assignment of more domain areas, in the field of engineering, that is, the SHAE can be adapted to various engineering specialties such as: industrial, software, telecommunications, mechanics and other.


Author(s):  
Lamia Mahnane ◽  
Laskri Mohamed Tayeb ◽  
Philippe Trigano

Recent years have shown increasing awareness for the importance of adaptivity in e-learning. Since the learning style of each learner is different. Adaptive e-learning hypermedia system (AEHS) must fit different learner’s needs. A number of AEHS have been developed to support learning styles as a source for adaptation. However, these systems suffer from several problems, namely: lack of maintenance, adaptation to learning style, less attention was paid to thinking styles and the insertion of specific teaching strategies into learning content. This paper proposes an AEHS model based on thinking styles and knowledge level. On one hand, the developed prototype will assist a learner in accessing and using learning resources which are adapted according to his/her personal characteristics (in this case his/her thinking style and level of knowledge). On the other hand, it will facilitate the learning content teacher in the creation of appropriate learning objects and their application to suitable pedagogical strategies.


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