GPT的在线智能助考系统的设计-计算机毕业设计源码00068

Abstract

With the rapid development of artificial intelligence technology, intelligent assisted learning systems are increasingly being valued in the field of education. This study aims to build an online intelligent exam assistance system based on GPT, combined with advanced natural language processing technology, to provide users with intelligent question answering, simulated exams, resource sharing, communication forums and other functions, aiming to improve user learning efficiency and experience.

The GPT model, as a natural language generation model, has strong language comprehension and generation capabilities, and can achieve intelligent question answering and dialogue interaction. By integrating GPT models, this system can achieve intelligent learning assistance functions and provide personalized and intelligent learning support for users. At the same time, building a system using Java language and SpringBoot framework can improve the stability and scalability of the system, simplify the development process, and make the system more efficient and easy to maintain. Using MySQL database as a data storage and management tool to ensure the security and efficiency of system data, and providing users with stable and reliable services.

The system functions include an intelligent Q&A module, where users can interact with intelligent robots to answer questions; Simulated exam module, users can conduct simulated exams to verify learning outcomes; Resource sharing module, users can browse and download various learning resources; The communication forum module allows users to participate in discussions and share learning experiences. Administrators can use the backend management platform to perform functions such as average score statistics, exam score statistics, system user management, resource classification management, resource information management, university information management, carousel map management, notification and announcement management, postgraduate entrance examination information management, exam management, and communication management, comprehensively monitoring and managing the operation status of the system.

Through the exploration of technological implementation, functional design, and user interaction, this study aims to provide theoretical support and practical guidance for the development and application of online intelligent exam assistance systems, promote the further application and promotion of intelligent education technology in the field of education, and improve the efficiency and quality of education and teaching.