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Design of Emotionally-Aware Digital Twin Models for Socio-Affective Learning Analysis
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Author(s): Hossein Abdi (Islamic Azad University, UAE)
Copyright: 2026
Pages: 18
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.ch003
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Abstract
This research designs an emotion-based digital twin model for analyzing social-emotional learning in the context of smart education. The proposed model, using multimodal data including facial expressions, voice, physiological signals, and behavioral interactions, identifies the emotional and social state of the learner in real time and provides adaptive educational interventions based on that. The three-layer structure of the system architecture includes data collection, social-emotional analysis, and real-time decision-making. The results show that this model can help improve the learning experience, increase participation, and maintain the psychological well-being of learners.
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