Visualized Teaching Management System Based on Model Library and Knowledge Base

The paper discusses a visualization-based teaching management system that is founded on a model repository and a knowledge base. This system is designed to enhance stu-dent learning outcomes and teaching efficiency by integrating a variety of educational resources to provide real-time diagnostics, personalized education, and instructional feedback. The objective of the research is to develop a new teaching management system that utilizes model repositories and knowledge bases for the visual management of educational resources, thereby offering a more comprehensive educational expe-rience to both teachers and students. The significance of this research lies in its ability to improve the accessibility and manageability of educational resources, aiding teachers in better managing these resources to meet the individualized learning needs of students more effectively. This paper is primarily based on artificial intelligence and data mining technologies to develop this visual educational management system. It uses model repositories and knowledge bases to integrate educational resources and has designed adaptive learning and real-time diagnostic modules to provide a better learning expe-rience and instructional feedback. In the development process, it is first necessary to analyze and categorize teaching requirements to provide different types of students with various learning resources.