Enhancing Smart Classroom Evaluation With Blockchain and PBFT

Abstract

The rapid development of educational informatisation has made smart classrooms a key platform for advancing innovative teaching methods. However, traditional evaluation systems face challenges related to data security, fairness, and result traceability. This paper introduces a blockchain-based teaching evaluation system for smart classrooms to address these issues and improve teaching quality and management efficiency. The system employs a cloud-network-edge-device architecture, integrating cloud computing, network communication, and edge devices for real-time data collection, secure transmission, and intuitive visualisation. Blockchain technology ensures data integrity and transparency, while the practical Byzantine fault tolerance consensus algorithm maintains system reliability and prevents data manipulation. Experiments conducted at Dalian Jiaotong University demonstrate that the smart classroom improves teaching quality by 20% compared to traditional classrooms. The system is particularly effective in enhancing teaching resources and real-time communication, though improvements in student engagement are still needed. System performance tests indicate that the platform maintains low response times and stability under varying levels of concurrent requests, demonstrating its capability to support high-demand teaching scenarios and ensure data consistency and transparency.