Algorithmic Evaluation of Higher Education Management Data Based on Artificial Intelligence and Multimedia Technologies

With the development and popularization of information technology, more and more data are gathered in the hardware equipment and systems of major universities. However, how to obtain the required information from the massive data and make use of it has become the main problem faced by the information departments of colleges and universities. Although there are many studies on university management data, most of them are shallow-level analysis based on simple data, models and tools, which are not very helpful for improving the efficiency of university management data analysis. In recent years, with the rapid development of artificial intelligence and multimedia technology, artificial intelligence and multimedia technology have been applied to more and more fields to improve efficiency. This paper analyzed and studied the data analysis algorithm of higher education management under the background of the rapid development of artificial intelligence and multimedia technology, aiming to optimize the traditional higher education management data analysis algorithm and improve the efficiency of university management data analysis. This paper also compared the traditional higher education management data analysis algorithm and the optimized analysis algorithm. The comparison results showed that the optimized higher education management data analysis algorithm based on artificial intelligence and multimedia technology improved the efficiency by 11.4%.