Digital Twin driven classrooms: A case study of an AI-augmented conceptual framework for adaptive learning
DOI:
https://doi.org/10.11113/ajee2026.10n1.218Keywords:
Digital Twin, AI in education, Immersive learning, Cyber-physical systems, Smart classrooms, Digital education architecture.Abstract
The rapid expansion of digital education has improved access to learning but has also revealed persistent limitations related to personalization, real-time adaptability, scalability, and learner engagement. Many existing digital learning platforms and AI-based tools operate as isolated solutions, offering limited integration and treating learners as passive recipients of instruction. To address these challenges, this paper proposes a conceptual framework for AI-augmented Digital Twin classrooms (AIDTC) that reconceptualizes the classroom as an intelligent cyber-physical learning system. The framework was developed through a structured synthesis of interdisciplinary literature spanning Digital Twin theory, cyber-physical systems, artificial intelligence in education, and immersive learning. Drawing on advances in digital engineering and Industry 4.0/5.0 principles, the framework integrates Digital Twin modeling, artificial intelligence, immersive learning technologies, and human-in-the-loop orchestration within a layered architecture. Continuous synchronization between learner interactions and dynamic digital representations enables proactive instructional adaptation based on real-time behavioral, cognitive, and contextual data. The proposed architecture comprises four interconnected layers perception, cognition, immersion, and orchestration supporting data capture, intelligent reasoning, immersive learning delivery, and transparent pedagogical control. The study adopts a conceptual framework development approach supported by a single case study to demonstrate how the framework can be applied in a higher-education setting. While empirical generalization is beyond the scope of this work, the case demonstrates the internal coherence, feasibility, and applicability of the proposed framework. Overall, the AIDTC framework offers a future-ready blueprint for developing intelligent, ethical, and learner-centered digital classrooms that extend beyond conventional online and hybrid learning paradigms.
















