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Digital Twins for Students: Toward Precision Education

The article proposes a 'Precision Education' paradigm that uses digital twins of students, predictive models, and learning analytics to shift from reactive responses to academic failure toward prevention and support. The approach draws on an analogy with healthcare, where predictive models helped shift the focus to prevention.

Why it matters

This extends digital twin application to human-centric systems and shows how predictive modeling can manage complex social processes.

Relevant to DT products

Original headline
From Precision Medicine to Precision Education: A Vision for AI-Powered Student Digital Twins, Preventive Student Success, and Career-Aligned Academic Pathways
Read the original: arXiv API — полнотекстовый поиск "digital twin"

Translation and summary are machine-generated from the source. The full article is not republished; its rights belong to the source.