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Adaptive Learning Using Artificial Intelligence in e-Learning: A Literature Review

📅 Published: December 6, 2023 👤 Ilie Gligorea, Marius Cioca, Romana Oancea et al. 📖 Education Sciences 📊 777 citations
AI-Generated Summary

The rapid evolution of e-learning platforms, propelled by advancements in artificial intelligence (AI) and machine learning (ML), presents a transformative potential in education. The integration of AI/ML in e-learning platforms significantly contributes to the personalization and effectiveness of the educational process.

⚡ This is an original paraphrased summary — not copied from the abstract. Full paper available at the source link below.

Key Findings
  • 1 This dynamic landscape necessitates an exploration of AI/ML integration in adaptive learning systems to enhance educational outcomes.
  • 2 This study aims to map the current utilization of AI/ML in e-learning for adaptive learning, elucidating the benefits and challenges of such integration and assessing its impact on student engagement, retention, and performance.
  • 3 A comprehensive literature review was conducted, focusing on articles published from 2010 onwards, to document the integration of AI/ML in e-learning.
Why It Matters

This research advances how AI systems learn, reason, and solve problems — with direct implications for automation and scientific discovery.

This summary is based on publicly available metadata and abstract. For the full research paper, visit the original source:

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Article Details
Source OpenAlex
Category 🤖 Artificial Intelligence
Published Dec 6, 2023
Journal Education Sciences
DOI 10.3390/educsci13121216
Citations 777
Authors Ilie Gligorea, Marius Cioca, Romana Oancea, Andra-Teodora Gorski, Hortensia Gorski