Transforming Education through AI: Adaptive Learning for a Personalized Digital Future

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Review of adaptive learning shows improved outcomes in education, suggesting AI may reshape personalized learning systems.

Adaptive learning enhances learner engagement and retention, demonstrating significant improvements compared to traditional methods.
The analysis reveals that AI techniques like machine learning and neural networks are essential for dynamic content delivery.
Comprehensive review of adaptive learning includes theoretical frameworks and real-time case studies, showcasing practical applications.
Challenges such as algorithmic bias and data privacy highlight the need for careful implementation in AI-driven educational systems.

Juyal et al. (2025) studied this question.

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View Full Paper

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Review of adaptive learning shows improved outcomes in education, suggesting AI may reshape personalized learning systems.

Adaptive learning enhances learner engagement and retention, demonstrating significant improvements compared to traditional methods.
The analysis reveals that AI techniques like machine learning and neural networks are essential for dynamic content delivery.
Comprehensive review of adaptive learning includes theoretical frameworks and real-time case studies, showcasing practical applications.
Challenges such as algorithmic bias and data privacy highlight the need for careful implementation in AI-driven educational systems.

Juyal et al. (2025) studied this question.

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