Examining Adaptive E-Learning Approaches to Enhance Learning and Individual Experiences

Fateh Benkhalfallah, Mohamed Ridda Laouar and Mohamed Salah Benkhalfallah

Acta Informatica Pragensia, 2024, vol. 2024, issue 2, 327-339

Abstract: The concept of individualization has emerged as an essential advance in education, representing a paradigm shift adopted by educational systems worldwide. This paradigm evolution aims to optimize student performance by harnessing the potential of diverse e-learning platforms tailored to individual needs. These platforms enable students to acquire knowledge that matches their unique interests and skills. This not only fosters academic prowess but also proactive engagement of stakeholders invested in talent development endeavours. This paper attempts to provide a holistic overview of adaptive e-learning approaches using a recognized categorization framework. This categorization delineates three main approaches: the macro-adaptive approach, the aptitude-treatment interaction approach and the micro-adaptive approach. Through the exposition of illustrative examples within each category, the paper seeks to elucidate and scrutinize the similarities and differences inherent in these approaches. Furthermore, it endeavours to outline the theoretical foundations of the learning process. It contrasts e-learning with traditional learning modalities and examines the transformative impact of e-learning on the learning process and knowledge generation. By delving into the historical trajectory of adaptive e-learning platforms, the paper reveals a symbiotic relationship between their evolution and the evolving principles of education and cognitive science. Ultimately, the study strives to bring a nuanced understanding of the adaptive e-learning landscape and its evolutionary trajectory over time, thereby contributing to the broader discourse surrounding educational innovation and pedagogical progress.

Keywords: Adaptive Learning Approaches; Macro-Adaptive Approach; Aptitude-Treatment Interaction; ATI; Micro-Adaptive Approach; Learning Process; Knowledge Generation (search for similar items in EconPapers)
Date: 2024
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://aip.vse.cz/doi/10.18267/j.aip.240.html (text/html)
http://aip.vse.cz/doi/10.18267/j.aip.240.pdf (application/pdf)
free of charge

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:prg:jnlaip:v:2024:y:2024:i:2:id:240:p:327-339

Ordering information: This journal article can be ordered from
Redakce Acta Informatica Pragensia, Katedra systémové analýzy, Vysoká škola ekonomická v Praze, nám. W. Churchilla 4, 130 67 Praha 3
http://aip.vse.cz

DOI: 10.18267/j.aip.240

Access Statistics for this article

Acta Informatica Pragensia is currently edited by Editorial Office

More articles in Acta Informatica Pragensia from Prague University of Economics and Business Contact information at EDIRC.
Bibliographic data for series maintained by Stanislav Vojir ().