Exploring and Researching Ideological and Political Education of College Students’ Psychological Quality for the Development of Artificial Intelligence

Abstract

Students must integrate into the development of ethnic education and accept applicable norms and policies, values, and processes so that academics can continue to develop in a good direction for exploring and researching intellectual Ideological and Political Learning (IPL). The creation of a data system for the administration of IPL for university students can boost knowledge and the quality of maintenance of IPL. Therefore, this paper suggests artificial intelligence-based Ideological and Political Learning (AI-IPL) of college students depending on the psychological quality measurements. The AI-IPL method is used for the ideological and political development of the college students to encourage the students both mentally and physically. The AI-IPL method creates the differences in opinion between some of the students, which define the IPL of the eventual tendency towards creative strategy and psychological education method. The thought created by students’ experience must be evaluated for the requirements of learning and the experience of developing high-quality talent by the measure of political growth through innovating intellectual and political learning.

Detection of Diseases Using Machine Learning Image Recognition Technology in Artificial Intelligence

“…Gaussian noise and solver noise are the two most common types of noise in images [ 24 ]: Gaussian noise: Gaussian noise follows the characteristics of Gaussian distribution, which is characterized by high noise intensity and large density fluctuation range. The image polluted by Gaussian noise not only affects the gray level of each pixel, but also affects the pollution degree of the same gray level [ 25 , 26 ]. G is used to represent the average value, and when α is the standard deviation, the probability density function of Gaussian noise is as follows: Salt and pepper noise: salt and pepper noise is also called impulse noise, and its appearance is random.…”

Application of Deep Learning for Discourse Expression Recognition in Ideological and Political Education

“…e AI-IPL method is being used to help college students with their ideological and political development and their mental and physical health and fitness [12]. However, when it comes to defining the IPL of eventual preference for creative strategy and psychological education.…”

“…is model is based on logic and reasoning. Despite the obvious precision of IPL's exact nature, the undisputed theoretical and policy education system has elicited a wide range of responses and interpretations [12]. ere are three types of ideological and political paradigms in various research fields and traditionally oriented theoretical and political education.…”

Exploration on College Ideological and Political Education Integrating Artificial Intelligence-Intellectualized Information Technology

“…Zhang and Fagan [ 15 ] concentrated on the outcomes of a variety of methods that explored the role of intellectual and social learning in college students' democratic knowledge and participation. Based on psychological quality evaluations, Zhong proposed [ 16 ] Artificial Intelligence-Based Ideological and Political Learning (AI-IPL) for college students. The AI-IPL approach is used to support college students' mental and physical growth as well as their ideological and political development.…”