Adaptive hypermedia system in times of COVID-19: Application in Management Accounting course 1 at the University of Havana.

New trends in higher education, accentuated by the global COVID19 pandemic, visualize the need for more flexible virtual courses. The Faculty of Accounting and Finance of the University of Havana, analyzes new technological configurations that facilitate the personalization of the educational process. In this context, this work aims to design an adaptive hypermedia system prototype applied to the Management Accounting 1 course at the University of Havana to guarantee the delivery, distribution, and variety of learning content to students in a personalized way. An empirical research supported by an experimental method is presented, with a sample of 94 students, a Control Group made up of 41 students and an Experimental Group made up of 53 students; Descriptive statistics and the Pareto principle support the results. It is concluded that, 1. The personalization of the educational process through the application of adaptive techniques leads to academic success at an individual and group level, in this sense, the Experimental group only needed a final exam session compared to the three calls of the group of control; 2. Need to continue investigating new adaptation criteria, in this sense, the mean scores obtained by the Experimental group did not have a significant increase in relation to that of the Control group. This work also contributes to visualizing educational equity referring to the capacity of the educational system to offer special supports that guarantee that educational objectives are achieved in a broader dimension; innovation is related to technologies and new strategies to optimize online educational processes.

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

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.

Implementasi Adaptive Hypermedia System Berbasis Moodle untuk Mengatasi Keragaman Gaya Belajar Pada Pendidikan Vokasi

Penelitian ini bertujuan untuk mendeskripsikan implementasi Adaptive Hypermedia System Berbasis Moodle dilihat dari aspek: (1) Keragaman Gaya Belajar siswa berupa Visual, Auditory Kinestetik (2) Perencanaan pembelajaran, (3) Pelaksanaan pembelajaran, (4) Sistem penilaian. Penelitian ini dilaksanakan menggunakan pendekatan deskriptif kualitatif. Penelitian yang dilakukan berupaya mendeskripsikan secara jelas mengenai implementasi Hypermedia System Berbasis Moodle di Universitas IVET. Subjek penelitian adalah sekretaris program studi Pendidikan Teknik Mesin konsentrasi Otomotif (PTM-O) dosen, pengelola bagian TI dan mahasiswa yang sudah memanfaatkan Hypermedia System Berbasis Moodle pada Program Studi Pendidikan Teknik Mesin konsentrasi Otomotif Universitas Ivet. Metode yang digunakan untuk mengumpulkan data penelitian adalah 1) metode observasi, 2) metode wawancara, 3) metode dokumentasi. Teknik keabsahan data yang digunakan dalam penelitian ini adalah menggunakan teknik trianggulasi metode dan sumber. Hasil penelitian: (1) gaya belajar mahasiswa Pendidikan Teknik Mesin konsentrasi Otomotif (PTM-O) memiliki latar belakang pendidikan yang heterogen (2) Perencanaan Adaptive Hypermedia System Berbasis Moodle meliputi mempersiapkan Sarana dan prasarana berupa komputer yang ada di laboratorium komputer sebanyak 33 unit, beserta jaringan internet yang tersedia dengan kecepatan 50 mbps. (3) Pelaksanaan pembelajaran dosen melakukan aktifitas pembelajaran sesuai dengan mata kuliah yang diampu. Dosen mengunggah materi pada setiap pertemuan. (4) Sistem Penilaian dalam pembelajaran Adaptive Hypermedia System Berbasis Moodle bisa dilakukan menggunakan quiz.

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

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.

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

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.

A Learner Model Based on Bayesian Networks in Adaptive Educational Hypermedia Systems

The work presented in this chapter lies within learner modeling in an adaptive educational system construed as a computational modeling of the learner. All actions of the learner in a learning situation on an adaptive hypermedia system are not limited to valid or invalid actions (true and false), but they are a set of actions that characterize the learning path of formation. Thus, one cannot represent the information from the system of each learner using relative data. It requires putting the work in a probabilistic context due to the changes in the learner model information during formation. In this chapter, the authors propose to use Bayesian networks as a probabilistic framework to resolve the issue of dynamic management and update of the learner model. The experiments and results presented in this work are arguments in favor of the hypothesis and can also promote reusing the modeling obtained through different systems and similar modeling situations.