Research on the Quality Development of Ideological and Political Teaching Based on Artificial Intelligence

Abstract

Ideologies in education encompass the beliefs, customs, values, and ideologies that shape education in the areas of politics, economics, morality, faith, knowledge and reality, aesthetics, and artistic pursuits. Political and ideological education is seen to be influenced by a variety of factors, including trade relations, policy changes, protection from political dangers, and different forms of spending. This research propose novel ideology model in political teaching based on artificial intelligence techniques. Here the students politics interest based analysis has been carried out for enhancing the quality of their ideology. Then using this analysed data the quality modelling is carried out using recursive kernel component feature analysis with Gaussian adversarial encoder neural networks. Experimental analysis has been carried out in terms of training accuracy, average precision, recall, F-1 score, NSE. Based on the experiment's findings, educational activities as well as instruction became more successful, an educational intervention plan was described, the brain's plasticity was maximised, effectiveness of ideological and political education enhanced. Proposed technique attained Training  accuracy of 97%, NSE of 63%, average precision of 89%, recall of 88%, F-1 score of 93%.