Intelligent Examination System Driven by Large Language Models
Zinuo Zhang, Daobin Chen, Bin Lin, Peng Yang, Jinming Li, Hai Bo Xie, Quanxi Feng · 2025
In recent years, the emergence of large language models (LLMs) such as ChatGPT has ushered the field of artificial intelligence into the era of large-scale models. As LLMs technology continues to evolve, its applications across various production and daily life sectors are becoming increasingly inevitable. Within the traditional educational landscape, there remains a considerable dependency on manual intervention for preparing exam questions, generating test papers, and grading assignments-tasks that are often tedious and time-consuming. We have developed an integrated system platform to address these challenges and facilitate intelligent question generation, sophisticated parsing, and automated grading. We are utilizing a distributed microservice architecture and a multi-tiered caching strategy as the basis of our technology. This platform adheres to the latest advancements in artificial intelligence. Our exploration into applying LLMs in education aims to harness their superior content generation capabilities, thereby achieving a system that embodies intelligence, integration, and personalization for enhanced educational outcomes.