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Evaluating the Role of Artificial Intelligence in Learning Analytics
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Author(s): Maryam Rahmaty (Department of Management, Islamic Azad University, Chalus, Iran)
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.ch004
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Abstract
This chapter examines the role of artificial intelligence in learning analytics, exploring its theoretical, technical, interdisciplinary, and institutional dimensions. First, the cognitive and data-driven foundations of the field are introduced, and then the capabilities of AI in personalizing learning, providing real-time feedback, and educational decision-making are analyzed. Interdisciplinary applications are then examined, with an emphasis on the connection with cognitive science, linguistics, and UX design. The scalability challenges and institutional impacts of learning analytics at the educational policy level are also discussed. The conclusion shows that the effective use of AI requires synergy between humans, technology, and institutional structures.
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