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Seamless Data Integration for Predictive Learning Environments

Seamless Data Integration for Predictive Learning Environments
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Author(s): Zornitsa Yordanova (University of National and World Economy, Bulgaria)and Hamed Nozari (Azad University UAE, Dubai, UAE)
Copyright: 2026
Pages: 26
Source title: AI-Augmented Creativity in Learning Analytics
Source Author(s)/Editor(s): Stavroula Kalogeras (Heriot-Watt University, UAE), Sepideh Samadi (Heriot-Watt University, UAE)and Hamed Nozari (Independent Researcher, Australia)
DOI: 10.4018/979-8-3373-5117-9.ch014

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Abstract

This research explores predictive learning structures in connected environments and shows that seamless integration of multi-purpose data through intelligent architectures enables adaptive and personalized learning. Leveraging the Internet of Things, artificial intelligence, and real-time analytics, educational systems are able to accurately predict learner behavior and performance and deliver targeted interventions. By introducing data-driven frameworks, this study addresses the technical, ethical, and cognitive requirements for designing such environments and outlines a roadmap for future education.

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