AIOT based Smart Education System: A Dual Layer Authentication and Context-Aware Tutoring Framework for Learning Environments
Neelakantan, Adithya, Satpute, Pratik, Shinde, Prerna, Devang, Tejas Manjunatha
–arXiv.org Artificial Intelligence
The AIoT-Based Smart Education System integrates Artificial Intelligence and IoT to address persistent challenges in contemporary classrooms: attendance fraud, lack of personalization, student disengagement, and inefficient resource use. The unified platform combines four core modules: (1) a dual-factor authentication system leveraging RFID-based ID scans and WiFi verification for secure, fraud-resistant attendance; (2) an AI-powered assistant that provides real-time, context-aware support and dynamic quiz generation based on instructor-supplied materials; (3) automated test generators to streamline adaptive assessment and reduce administrative overhead; and (4) the EcoSmart Campus module, which autonomously regulates classroom lighting, air quality, and temperature using IoT sensors and actuators. Simulated evaluations demonstrate the system's effectiveness in delivering robust real-time monitoring, fostering inclusive engagement, preventing fraudulent practices, and supporting operational scalability. Collectively, the AIoT-Based Smart Education System offers a secure, adaptive, and efficient learning environment, providing a scalable blueprint for future educational innovation and improved student outcomes through the synergistic application of artificial intelligence and IoT technologies.
arXiv.org Artificial Intelligence
Nov-3-2025
- Country:
- North America > United States > New York > Onondaga County > Syracuse (0.04)
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- Instructional Material (0.69)
- Research Report (0.50)
- Industry:
- Education > Educational Setting (1.00)
- Information Technology (1.00)
- Technology:
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- Architecture > Real Time Systems (1.00)
- Artificial Intelligence
- Machine Learning > Neural Networks
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- Large Language Model (0.96)
- Machine Learning > Neural Networks
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- Internet of Things (1.00)
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