Innovative Research on Ideological and Political Education in Colleges and Universities Based on Intelligent Wireless Network Environment

Abstract

The current technological growth has made artificial intelligence techniques reach every industry. One such industry is education, which uses AI techniques such as machine learning for university courses. This article considers research on the ideological and political education in colleges and universities based on artificial intelligence and machine learning in a wireless network environment. Ideology is a set of ideas that guide politics and is also referred to as a common idea that a group of people shares. Machine learning is referred to as part of artificial intelligence that uses computer algorithms and statistical models to analyze the data. It can learn and adapt itself with the help of the data. The advantage of machine learning is that it does not require human intervention. The proposed system includes machine learning and artificial intelligence in ideology and political education. Machine learning techniques will revolutionize the educational sector with their efficiency and advantages. Thus, it is found that artificial intelligence and machine learning techniques provide enhanced teaching and learning in ideological and political education provided by colleges and universities. In this research binary search algorithm (BSA) is implemented to analyze the teaching and learning process. BSA is compared with the traditional classroom education and statistical learning methodology and observed that BSA has achieved 95% accuracy in the education training and testing and is higher than the other methods.