Generation of pedagogical content based on the learning style of learners in a dynamic adaptive hypermedia environment

TL;DR

This paper presents a system that dynamically generates hypermedia educational content tailored to individual learners' styles and cognitive states, enhancing personalized learning experiences.

Contribution

It introduces a course generator that adapts hypermedia pages and links based on learning styles and knowledge levels, improving educational personalization.

Findings

Content is dynamically adapted to learning styles.

Enhanced personalization improves learner engagement.

System filters content based on cognitive status.

Abstract

Several researches in psychology and science of education affirm the impact of learning style on the learning process and encourage its taking into account in the teaching strategies in order to facilitate the task for learners and improve their results. This article deals with the relationship between the characteristics of the learner, the teaching materials and the context in which takes place the learning in order to allow a better adaptivity. The latter is ensured thanks to the most important element of our system, which is the generator of course, the latter allows you to offer a hypermedia virtual, therefore the pages and the links will be built dynamically, taking into account the learning style and the cognitive status of the learner. As well and after having completed a first filter on the fragments, in order to select those corresponding to the course, there will be applied a second filter to select the fragments corresponding to the learning style of the learner to retain only those in accordance with responsive to the level of knowledge required.