article · International Journal of Emerging Technologies in Learning (iJET)
Modern education increasingly blends digital tools with face-to-face instruction in hybrid teaching arrangements. Digital platforms, particularly learning management systems, provide online spaces to store educational content, organise teaching resources, and connect academic communities. While these systems can host diverse materials ranging from static documents to animated and interactive media, they typically remain passive and generic in practice. Current platforms do not adjust to individual differences such as existing skills, intellectual capacities, linguistic requirements, learning rhythms, or specific user preferences. To address these limitations, a design and conceptual model introduces an intelligent, dynamic learning framework driven by artificial intelligence. The primary aim of this architectural model is to detect learner requirements and deliver personalised digital environments tailored to individual educational profiles.
Online education often treats all students identically, which can hinder individuals who learn at different paces or require alternative presentation formats. Introducing artificial intelligence into learning platforms helps shift digital education from passive repositories into responsive tools capable of tailoring content to specific student needs, supporting more effective hybrid instruction.
This research outlines a design and modelling framework, placing the technology at an early conceptual stage of development. The intended application is adaptive educational software for students and teachers using digital learning management platforms. Commercialisation would require software development, system integration, and testing within active educational environments to evaluate whether the artificial intelligence model effectively personalises content in practice.
AI-generated from the published abstract. Always read the original work before citing.
Nowadays, teaching involves more and more the usage of digital tools to accompany face-to-face learning. Such a system is being referred to as hybrid teaching. These digital tools include mainly distance learning platforms based on LMS (Learning management systems). LMS help to create on-line digital spaces to store and organize teaching material while providing a pedagogical learning process to connect educational communities. Despite the many forms of content that can be implemented on these platforms, from traditional file-based to interactive and animated content, these systems remain both passive and generic. They lack the ability to adapt to the learner in terms of learning skills, preferences, languages, intellectual abilities, learning patterns and rhythms. This paper proposes a design and modeling of an intelligent and dynamic adaptive learning system based on artificial intelligence with the main objective of identifying and providing personalized learning environments adapted to the learner needs.
This page summarises published work. The authoritative version sits with the publisher.
DOI: 10.3991/ijet.v18i06.35839
Is something wrong with this record? Report it or request removal.
Discussion
Have you built on this work, tried to replicate it, or seen it applied in practice? Share what you know. Verified researchers and MARATTO™ domain experts can open a discussion, and any member can reply. Contributions are reviewed before they appear.
No discussion yet. Open the first thread.
New to MARATTO™? Create a free account.
