Evolution Of Learning Systems: From Learning Management Systems to Adaptive Learning Systems Based on Artificial Intelligence

AbstractDigital transformation in education has driven a paradigm shift from the use of Learning Management Systems (LMS)to the development of Adaptive Learning Systems (ALS) based on artificial intelligence (AI). This article aims toexamine the evolution of this learning system through a literature study approach to 16 national and internationalscientific articles in the 2015–2025 period. The results of the study indicate that the integration of AI in the learningsystem strengthens personalization, student engagement, and the effectiveness of learning outcomes. LMS, whichpreviously functioned as a managerial and content distribution platform, has now evolved into an ALS that is adaptiveand responsive to the characteristics of individual learners. However, this transition process is not without challenges,including the need for representative training data, readiness of technological infrastructure, and issues of data ethicsand privacy. This study recommends an integrative and inclusive strategy in the implementation of AI-based ALS, inorder to realize a dynamic, personal, and sustainable digital learning ecosystem.Keywords: Learning Management System, Adaptive Learning System, Artificial Intelligence, educationaltechnology, personalization of learning.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-15
DOI
https://doi.org/10.5281/zenodo.18262486
Primary Topic
Technology-Enhanced Education Studies
Type
article
Field-Weighted Citation Impact
0.00
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article

Evolution Of Learning Systems: From Learning Management Systems to Adaptive Learning Systems Based on Artificial Intelligence

Bahrul Alam, Sarwiyanti, Eny Ermawaty, Ahmad Kosim
Zenodo (CERN European Organization for Nuclear Research)
Technology-Enhanced Education Studies
article

Evolution Of Learning Systems: From Learning Management Systems to Adaptive Learning Systems Based on Artificial Intelligence

Bahrul Alam, Sarwiyanti, Eny Ermawaty, Ahmad Kosim
article en

Abstract

AbstractDigital transformation in education has driven a paradigm shift from the use of Learning Management Systems (LMS)to the development of Adaptive Learning Systems (ALS) based on artificial intelligence (AI). This article aims toexamine the evolution of this learning system through a literature study approach to 16 national and internationalscientific articles in the 2015–2025 period. The results of the study indicate that the integration of AI in the learningsystem strengthens personalization, student engagement, and the effectiveness of learning outcomes. LMS, whichpreviously functioned as a managerial and content distribution platform, has now evolved into an ALS that is adaptiveand responsive to the characteristics of individual learners. However, this transition process is not without challenges,including the need for representative training data, readiness of technological infrastructure, and issues of data ethicsand privacy. This study recommends an integrative and inclusive strategy in the implementation of AI-based ALS, inorder to realize a dynamic, personal, and sustainable digital learning ecosystem.Keywords: Learning Management System, Adaptive Learning System, Artificial Intelligence, educationaltechnology, personalization of learning.

Zenodo (CERN European Organization for Nuclear Research)
Universitas Muhammadiyah Jakarta (ID)
Industry, innovation and infrastructure
Openalex Percentile: Top 13%
Technology-Enhanced Education Studies
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