Design and implementation of learning assistant software for computer science students

Abstract

In the era of deep integration of digitalization and informatization, computer science, as a cutting-edge discipline, faces the challenges of rapidly updated knowledge systems and complex learning tasks. This paper designs and implements an intelligent learning assistant software for computer science students. The software integrates student management, course management, code practice, exam and assignment management, learning community, resource management and other functions. Through personalized learning path planning and intelligent resource recommendation, it effectively improves students' learning efficiency and professional ability. The system adopts a front-end and back-end separation architecture. The front-end is based on the Vue.js framework, the back-end relies on the Spring Boot framework, the database uses MySQL, and efficient data access is achieved through MyBatis. Experimental results show that the system can significantly improve the learning outcomes of computer science students.