用AIoT构建智能教室,防作弊、个性化教学、自动调控环境。
AIOT based Smart Education System: A Dual Layer Authentication and Context-Aware Tutoring Framework for Learning Environments
- 双因子认证:RFID+WiFi防考勤造假
- 实时生成动态试题,支持上下文教学
- 自动调节灯光温湿度,提升学习体验
基于AIoT的智能教育系统融合人工智能与物联网技术,应对当前课堂中的考勤造假、缺乏个性化、学生参与度低和资源利用效率差等长期问题。该平台整合四大核心模块:(1) 基于RFID身份识别与WiFi验证的双因子认证系统,实现安全防伪考勤;(2) 由AI驱动的教学助手,依据教师提供的教学材料实时生成上下文相关的辅导建议与动态测验题;(3) 自动化测试生成器,支持自适应评估并减轻管理负担;(4) EcoSmart Campus模块,通过物联网传感器与执行器自主调节教室照明、空气质量与温湿度。模拟评估表明,该系统在实现实时监控、促进包容性参与、防止欺诈行为及支持可扩展运营方面表现优异。整体上,该系统为未来教育创新提供了安全、自适应且高效的可扩展范式。
原文摘要 · Abstract (English)
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.
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