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Digital Twins for Students: Toward Precision Education
US & West ·
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.
From Precision Medicine to Precision Education: A Vision for AI-Powered Student Digital Twins, Preventive Student Success, and Career-Aligned Academic Pathways
Digital twin simulation models are evolved and redeployed like software, yet DEVS-based engines offer a sound formal basis with little support for versioning, automated validation, or continuous delivery in cloud-native environments, leaving model lifecycle management ad hoc in most deployments.
arXiv:2512.13229v2 Announce Type: replace Abstract: As cyber-physical systems (CPSs) become more dependent on data and communication networks, their vulnerability to false data injection (FDI) attacks has raised significant concerns.
Компания «Актив» завершила работу над итоговым документом по результатам форсайт-сессии «Будущее безопасности киберфизических систем в России. Перспективы и векторы развития», которая прошла в Москве в марте 2025 года.