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.

翻译：基于AIoT的智能教育系统整合人工智能与物联网技术，以应对当代课堂中存在的持续性挑战：考勤欺诈、缺乏个性化教学、学生参与度不足以及资源利用效率低下。该统一平台融合了四个核心模块：（1）双层认证系统，结合基于RFID的身份扫描与WiFi验证，实现安全、防欺诈的考勤管理；（2）AI驱动的智能助手，基于教师提供的教学材料，提供实时情境感知支持与动态测验生成；（3）自动化测试生成器，用于简化自适应评估并降低管理负担；（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、空气质量与温度。模拟评估表明，该系统在实现稳健的实时监控、促进包容性参与、防止欺诈行为以及支持运营可扩展性方面具有显著成效。总体而言，基于AIoT的智能教育系统通过人工智能与物联网技术的协同应用，提供了一个安全、自适应且高效的学习环境，为未来教育创新与学生成果提升提供了可扩展的蓝图。