Application of AI in University Education Management

Abstract

The application period of AI education management in universities will be upgraded with the evolution of generations and high technology. From 2023, the Taiwan government will regularly allocate budget for campus high-tech Internet and informatization and friendly environment changes, as well as the construction and application of the Internet of Things. Seamless teaching and deep understanding of learning. The types of AI technology combined with management applications in the field of education are quite diverse and have depth and breadth, including speech recognition, image recognition, natural language processing, emotion recognition, knowledge graphs, etc. Various technologies are used in the teaching and learning process. Build bonds with students. Forms of class participation management and crisis insight, such as roll call in and out of class, invigilation, etc., or through the collection and analysis of a large number of student behavior data, can accurately grasp the learning status of each class and each student, and provide learning for the whole school and students of all grades Behavior, campus safety and other insights, or predict and intervene before the crisis occurs, improve the graduation rate and retention rate of teaching units, especially by adding methods such as AI calculation and biostatistics to participate in all students. According to each student's interest, pace and learning strengths and weaknesses, the system collects learning behavior data analysis, automatically corrects and adjusts more suitable learning content to the professor, creating a positive cycle learning ecosystem. Effectively optimize the management level or smooth the administrative education process, so that teachers can concentrate on teaching and achieve the optimization of resource allocation. In order to ensure that there is no suspicion of substitute or cheating in the online exam, it is necessary to use real-time image recognition technology to check the identity and assist the invigilator. Only by introducing face recognition technology as part of the campus access control system to prevent terrorist attacks and school shootings can campus security be given due attention. The high-tech technology and application of face recognition will enter campus education. The final conclusion is the issue of personal privacy rights, data security checks, protection of personal data privacy, communication and placement, learning and integration of schools, teachers, students and parents. etc., will become necessary links in the application of important education management in the future. Make the current 2023 the trend of the times that must be emphasized for applied analysis management; university education that cannot but participate and know.