On practice and dilemma of artificial intelligence in collaborative teaching of the ideological and political theory course in colleges and universities

2021 ◽  
pp. 1-12
Author(s):  
Yuanmeng
Keyword(s):  
Artificial Intelligence ◽  
College Students ◽  
Big Data ◽  
Empirical Research ◽  
Data Model ◽  
Ideological And Political Education ◽  
Political Education ◽  
Algorithm Analysis ◽  
New Paradigm ◽  
Technical Data

Computational ideological and political education is the product of the high degree of integration of ideological and political education with computers, big data, artificial intelligence and other information technologies, and is a new paradigm of ideological and political education in the information age. Through intelligent data collection, data model construction, algorithm analysis, simulation and other links, ideological and political education can not only scientifically explain the various complex ideological and political education phenomena that have already occurred, but also accurately calculate and predict the future state of the ideological and political education system, so that the discipline of ideological and political education can be like natural science, engineering technology through data, model, calculation, simulation and other scientific means. Realize from empirical research to empirical research in order to achieve the political goal of ideological and political education in a more scientific, accurate and efficient way. However, there are still a series of conceptual, technical, data, legal and ethical problems in the construction of computational ideological and political education. Through efforts from various aspects, design practical and guiding program strategies, so as to make full use of big data as a carrier to implement the innovation of college students’ ideological and political education into practice, and enhance the effectiveness of college students’ ideological and political education in the era of big data as the ultimate goal.

Big data based research on the management system framework of ideological and political education in colleges and universities

2020 ◽  
pp. 1-10
Author(s):  
Yuejun Xia
Keyword(s):  
Artificial Intelligence ◽  
Data Mining ◽  
Big Data ◽  
Ideological And Political Education ◽  
Political Education ◽  
Representative Point ◽  
Point Sets ◽  
Mining Technology ◽  
Education Management ◽  
Intelligence System

Artificial intelligence model combined with data mining technology can mine useful data from college ideological and political education management, and conduct process evaluation and teaching management. Therefore, based on the superiority of data mining technology and artificial intelligence system, this paper improves the traditional algorithm and constructs a university ideological and political education management model based on big data artificial intelligence. Moreover, this study uses a local sensitive hash function to generate representative point sets and uses the generated representative point sets for clustering operations. In order to verify the performance of the algorithm model, a control experiment is designed to compare the algorithm of this paper with traditional data mining methods. It can be seen from the research results that the algorithm model constructed in this paper has good performance and can be applied to practice.

An artificial intelligence data mining technology based evaluation model of education on political and ideological strategy of students

2020 ◽  
pp. 1-12
Author(s):  
Zheng Rong ◽  
Zheng Gang
Keyword(s):  
Neural Network ◽  
Artificial Intelligence ◽  
College Students ◽  
Data Mining ◽  
University Students ◽  
Evaluation System ◽  
Evaluation Model ◽  
Ideological And Political Education ◽  
Political Education ◽  
Ideological Education

The student’s political and ideological practices is a vital portion of education, and it is related to optimization of task based on fundamental scenario in establishing morality. In order to establish a scientific, reasonable and operable evaluation model for students’ ideological education, and evaluate the status of college students’ ideological education. In this paper, firstly, in view of the shortcomings of evaluation objectives, single evaluation methods, lack of pertinence of evaluation indicators and subjectivity of evaluation standards in the current evaluation system of university students’ ideological and political education, the basic principles for constructing evaluation models of university students’ ideological and political education are put forward. Secondly, in case to meet changing needs of the times, an artificial neural network algorithm based on artificial intelligence data mining and a traditional multi-layer fuzzy evaluation model are designed to evaluate the ideological and political education of college students. This newly proposed model integrates learning, association, recognition, self-adaptive and fuzzy information processing, and at the same time, it overcomes their respective shortcomings. Finally, an example analysis is carried out with a nearby university as an example. The evaluation results display that the evaluation model of students’ ideological education established in this paper is in good agreement with the previous evaluation results. It fully shows that the comprehensive evaluation model of fuzzy neural network for college students’ ideological and political education established in this paper is scientific and effective.

scholarly journals Selection Method of Network Ideological and Political Education Resources under Big Data

2021 ◽  
Vol 5 (6) ◽  
pp. p1
Author(s):  
Siqi Zhang
Keyword(s):  
College Students ◽  
Big Data ◽  
Colleges And Universities ◽  
Ideological And Political Education ◽  
Political Education ◽  
Access To Information ◽  
Network Resources ◽  
Ideological And Political Work ◽  
Network Information ◽  
Political Work

The continuous development of network information technology has prompted people to use big data to process information in order to improve work efficiency. All kinds of data are affecting people’s lives. Under the background of the big data era, college students’ values, studies and lifestyles, and access to information have changed obviously. Therefore, colleges and universities should make full use of the convenience of information in the era of big data to improve the informatization of ideological and political work in colleges and universities. The ideological consciousness and values of contemporary college students are strongly impacted by big piece of data. Based on the characteristics of big data, this paper conducts research and analysis on ideological and political education in colleges and universities in the era of big data, and makes full use of network resources to improve the ability of ideological and political education.

scholarly journals Research on the Difficulties and Countermeasures of the Practical Teaching of Ideological and Political Theory Courses in Colleges and Universities Based on Wireless Communication and Artificial Intelligence Decision Support

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Chaozhen Tang
Keyword(s):  
Artificial Intelligence ◽  
College Students ◽  
Decision Support ◽  
Wireless Communication ◽  
Political Theory ◽  
Colleges And Universities ◽  
Ideological And Political Education ◽  
Political Education ◽  
Survey Method ◽  
Practical Teaching

The rapid development of wireless communication technology has caused the computing speed and performance of information terminals to increase exponentially. Artificial intelligence technology emerged in this context. As an efficient work system, artificial intelligence has been introduced into many areas of social life. Especially in the field of education, it has made outstanding contributions. At this stage, the conflict between Eastern and Western civilizations is intensifying. As the most active ideological group, college students have not yet formed a scientific understanding of the pros and cons of Eastern and Western civilizations, and it is easy for them to fall into confusion in this kind of ideological turmoil. This requires that the ideological and political education in our country’s colleges and universities effectively play a role, strengthen ideological guidance, and create a new system of practical teaching of college ideological and political theory courses under the background of wireless communication. Ideological and political education, as one of the courses with outstanding characteristics in our country’s university education courses, has a guiding role that cannot be ignored for university students. This paper uses a questionnaire survey method to conduct an online survey of 500 college students from 6 universities in Shanghai to obtain first-hand information on the current ideological and political practice courses of Chinese universities and then sort out the emergence of artificial intelligence-based decision support systems in China. The practical class encountered difficulties and explored strategies to alleviate this dilemma, hoping to provide a useful reference for the development of ideological and political teaching in China in the future.

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