Intelligent Transmission Algorithm of College Physical Training Course Information Based on Big Data

Abstract

Physical education is an important part of higher education. Carrying out physical education teaching in accordance with national standards and carrying out physical fitness tests on a regular basis are the key tasks of physical education teaching. The existing problems are that the college sports curriculum is single, the evaluation standard of the sports curriculum is not unified, the timeliness and guiding significance of the physical education management system are low, and so on. The above problems make it difficult for students to correctly measure their physical health, and teachers have a heavy workload to guide students scientifically through complex data. This paper attempts to design and implement a more timely and readable college students’ physical fitness analysis system. And through data mining technology, we can mine the relevant information hidden in the data to help teachers provide more scientific and effective guidance and suggestions for students. Based on the design of the intelligent control model of athlete training plan based on big data analysis, this paper conducts simulation experiments by using environmental simulation. A training plan to solve the problem of large data fluctuations in the data classification trend is presented.