A Multimodal Course Digital Twin for Adaptive Academic Planning: Integrating Physiological Stress, Self-Reports, and Academic Context

Academic stress in higher education is strongly influenced by workload structure and scheduling decisions, yet academic planning sometimes remains static and does not incorporate behavioural or physiological indicators. While existing research focuses on stress measurement and prediction, these appr...

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Detalhes bibliográficos

Principais autores:	Stamatios Orfanos, Parisis Gallos, Christos Panagopoulos, Andreas Menychtas, Ilias Maglogiannis
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2026-05-01
coleção:	Computers
Assuntos:	digital twin stress monitoring wearable devices multimodal data fusion machine learning academic scheduling
Acesso em linha:	https://www.mdpi.com/2073-431X/15/6/338
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