Toward an Adaptive Educational Hypermedia System (AEHS-JS) based on the Overlay Modeling and Felder and Silverman’s Learning Styles Model for Job Seekers

Aymane Qodad, Abdelilah Benyoussef, Abdallah El Kenz, Mourad Elyadari

Abstract


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.

Keywords


Adaptive educational hypermedia systems; learning object, learning styles, learn-ing path, Overlay Modeling, differentiated instruction, Job model, Employability

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Copyright (c) 2020 Aymane QODAD, Abdallah El KENZ, Abdelilah BENYOUSSEF, Mourad ELYADARI


International Journal of Emerging Technologies in Learning (iJET) – eISSN: 1863-0383
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