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The digital transformation of education has generated unprecedented volumes of learning data, yet most reading platforms remain static, one-size-fits-all experiences. This session explores how modern analytics and AI are revolutionizing reading through personalized learning environments that adapt to individual learners. Drawing from real-world implementation in the iTELL platform, I'll demonstrate how hierarchical Bayesian modeling creates dynamic scoring thresholds, how semantic analysis targets knowledge gaps through strategic remediation, and how gamification elements driven by performance analytics support engagement. Attendees will learn about adaptive learning technologies that combine reading behavior telemetry, content analysis, and performance data to create personalized educational experiences.

Related topics

AI and Society
Machine Learning
Education
Education & Technology
Online Education

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