Adaptive Educational Hypermedia Proposal Based on Learning Styles and Quality Evaluation

2004 ◽  
pp. 316-319 ◽  
Author(s):  
Marcela Prieto Ferraro ◽  
Helmut Leighton Álvarez ◽  
Francisco García Peñalvo
Keyword(s):  
Learning Styles ◽  
Quality Evaluation ◽  
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.

Adaptive Educational Hypermedia Systems: A Focus on Learning Styles

2007 ◽  
Author(s):  
Elvira Popescu ◽  
Philippe Trigano ◽  
Costin Badica
Keyword(s):  
Learning Styles ◽  
Educational Hypermedia

Adaptive educational hypermedia accommodating learning styles: A content analysis of publications from 2000 to 2011

2012 ◽  
Vol 58 (2) ◽  
pp. 835-842 ◽  
Author(s):  
Yavuz Akbulut ◽  
Cigdem Suzan Cardak
Keyword(s):  
Content Analysis ◽  
Learning Styles ◽  
Educational Hypermedia

scholarly journals Role and Value of Learning Theories in the Area of Adaptive Educational Hypermedia Systems Incorporating Learning Styles

2018 ◽  
Vol 13 (01) ◽  
pp. 93 ◽  
Author(s):  
Xanthippi Tsortanidou ◽  
Charalampos Karagiannidis ◽  
Adamantios Koumpis
Keyword(s):  
Locus Of Control ◽  
Learning Styles ◽  
Learning Theory ◽  
Learning Theories ◽  
Learning Material ◽  
Learning Paradigm ◽  
Personal Learning ◽  
Value Of Learning ◽  
Pedagogical Approaches ◽  
Educational Hypermedia

The purpose of this study was to investigate the pedagogical basis of Adaptive Educational Hypermedia Systems (AEHS) that incorporate Learning Styles concerning learning paradigms and learning theories through a meticulous review of the relevant published work. We investigated twenty (20) AEHS and analyze them comparatively to a variety of adaptivity determinants. Two are the pivotal points that are crucial in exploration of pedagogical approaches of these systems: the locus of control and the provided learning material. We conclude that these systems are based mostly on the learning paradigm of Cognitivism and Constructivism. In addition, we assume that the concept of learning theory is not such a narrow term, given that networked world imposes the concept of personal learning.

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.

scholarly journals Adaptive Educational Hypermedia Systems based on Learning Styles: the Case of Adaptation Rules

2017 ◽  
Vol 12 (05) ◽  
pp. 150 ◽  
Author(s):  
Xanthippi Tsortanidou ◽  
Charalampos Karagiannidis ◽  
Adamantios Koumpis
Keyword(s):  
Learning Styles ◽  
Learning Style ◽  
Educational Systems ◽  
Web Based ◽  
Main Achievement ◽  
Learning Style Preferences ◽  
Learning Content ◽  
Adaptation Rules ◽  
Style Preferences ◽  
Educational Hypermedia

This paper investigates the pedagogical basis of Adaptive Educational Hypermedia Systems (AEHS) that incorporate Learning Styles in order to accommodate user's learning style preferences and needs. Therefore, AES adapt the learning content, its presentation and navigation to the user's learning style preferences. We collect thirty three (33) Adaptive and Intelligent Web-based Educational Systems (AIWBES) that incorporate learning styles and discuss twenty of them, namely the AEHS, as the remaining are Intelligent Tutorng Systems. The main achievement of this work is the investigation of AEHS' pedagogical basis in terms of adaptation rules. We conclude that these systems follow similar patterns in their adaptation logic.

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