Research on the manifestation of university network Civics teaching based on adaptive network

Abstract

Abstract This paper proposes an adaptive learning model for the interrelationship between civic education and college students’ career planning. Secondly, a competency point tracking model is constructed based on a neural network algorithm to explore the relationship between student behavior and competency points and how a certain student behavior affects competency points. Then, the Civics teaching platform for the college network was designed for college Civics teaching needs. Finally, the platform performance was tested, and the impact of the platform application was analyzed. The study showed that when the number of online users reached 5000, the transaction success rate remained at 100%, the average CPU usage rate was 56%, and the response time did not exceed 10 s. The average grade of Civics students has gone up by more than 10 points.