Research on intelligent learning platform system based on Spring Boot

弹簧(装置) 计算机科学 人工智能 操作系统 人机交互 工程类 结构工程
作者
Gan Li,Yong Huang,Yunli Cheng
出处
期刊:Advances in computer science research 被引量:1
标识
DOI:10.2991/978-94-6463-108-1_19
摘要

With the popularity of the Internet, people's way to explore knowledge began to go to the Internet, digital intelligent learning platform emerged at the historic moment.As for the traditional teaching method, it is taught at a fixed time and place, and the form of education and learning is not free enough.Compared with traditional teaching methods, students can freely access more diverse teaching resources through intelligent learning platform, and they can repeatedly learn the required course knowledge according to actual needs.At the same time, they can also ask questions and communicate on intelligent learning platform.This paper mainly studies the design and implementation of intelligent learning platform based on Spring Boot.The main function of this platform is to seek a convenient means of intelligent teaching and management for teachers and students, so that students can easily study independently and watch the teaching videos uploaded by teachers.Obviously, intelligent learning platform can improve students' enthusiasm for self-study.Technically, the platform uses the front-end and back-end separation architecture to deploy, develop and debug the front-end and back-end projects separately.The front end selects the progressive framework vue.js to complete the complex interaction logic and two-way binding of the front end, and selects ElementUI to design simple pages.Back end selection of Spring Boot, as the overall framework of intelligent learning platform backend, with Java to achieve interface function design, Redis in the Laragon environment to achieve cache optimization, MyBatis to achieve persistent layer development, and MySQL to achieve data storage.This platform provides an intelligent learning and management solution for teachers and students, and is committed to improving the efficiency of learning.After testing, the intelligent learning platform achieved in this paper meets the expected results and achieves good performance.
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