Adaptive Educational Hypermedia System using Cognitive style approach: Challenges and opportunities

2011 ◽  
Author(s):  
Mohammed Ahmed Ghazal ◽  
Maryati Mohd. Yusof ◽  
Nor Azan Mat Zin
Keyword(s):  
Cognitive Style ◽  
Hypermedia System ◽  
Challenges And Opportunities ◽  
Educational Hypermedia

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

2020 ◽  
Vol 15 (08) ◽  
pp. 235
Author(s):  
Aymane Qodad ◽  
Abdelilah Benyoussef ◽  
Abdallah El Kenz ◽  
Mourad Elyadari
Keyword(s):  
Learning Styles ◽  
Learning Style ◽  
Job Search ◽  
Social Impact ◽  
Learning Objects ◽  
Educational Systems ◽  
Job Seekers ◽  
Learner Model ◽  
Hypermedia System ◽  
Educational Hypermedia

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.

Individual Differences in Adaptive Educational Hypermedia

2011 ◽  
pp. 147-163 ◽  
Author(s):  
Nikos Tsianos ◽  
Panagiotis Germanakos ◽  
Zacharias Lekkas ◽  
Costas Mourlas
Keyword(s):  
Working Memory ◽  
Individual Differences ◽  
Cognitive Style ◽  
Learning Environments ◽  
Visual Working Memory ◽  
Total Sample ◽  
Personalized Learning ◽  
Style Analysis ◽  
Instructional Style ◽  
Educational Hypermedia

The purpose of this chapter is to experimentally explore the effect of individual differences in an adaptive educational hypermedia application. To that direction, the constructs of cognitive style (Cognitive Style Analysis) and visual working memory (visuo-spatial subsystem of Baddeley’s model) were employed as personalization parameters, thus rendering possible the provision of personalized learning environments according to users’ intrinsic characteristics. Two distinct experiments were conducted, with a total sample of 347 university students, seeking out to ground the hypothesis that matching the instructional style to learners’ preferences would increase their performance. Both experiments demonstrated that users in the personalized condition generally outperformed those that were instructed in a condition mismatched to their cognitive style or visual working memory ability.

scholarly journals Improvement of Academic Performance of Engineering Students through an Adaptive Educational Hypermedia System (AEHS)

2019 ◽  
Vol 8 (12S2) ◽  
pp. 12-17
Keyword(s):  
Academic Performance ◽  
Learning Styles ◽  
University Students ◽  
Engineering Students ◽  
Color Adaptation ◽  
Hypermedia System ◽  
Industrial Software ◽  
Intelligent Tutor ◽  
Educational Hypermedia

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.

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