scholarly journals Research on the Network Data Mining Application in the College Ideological and Political Education

2017 ◽  
Vol 10 (1) ◽  
pp. 175-186
Author(s):  
Li Pingquan
Keyword(s):  
Data Mining ◽  
Ideological And Political Education ◽  
Political Education ◽  
Network Data ◽  
Data Mining Application

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.

Effectiveness of ideological and political education reform in universities based on data mining artificial intelligence technology

2020 ◽  
pp. 1-12
Author(s):  
Huang Xiaoyang ◽  
Zhao Junzhi ◽  
Fu Jingyuan ◽  
Zhang Xiuxia
Keyword(s):  
Artificial Intelligence ◽  
Data Mining ◽  
Education Reform ◽  
Dimensional Space ◽  
Team Building ◽  
Reference Value ◽  
Colleges And Universities ◽  
Ideological And Political Education ◽  
Political Education ◽  
Artificial Intelligence Technology

Relying on the reform of the learning field curriculum system of ideological and political education courses in colleges and universities, the association rules between data mining and artificial intelligence technology are used to mine the association relationship between the software professional courses of the computer department, and the ideas and methods of optimizing the course setting are proposed. Discuss the reference value of the whole environment, multi-dimensional space-time, inter-subjectivity theory to the model construction from the theoretical level and the guiding significance of the Internet governance thought to the reform of ideological and political education in universities and colleges The survey results analyze the problems existing in the reform and construction of ideological and political education in colleges and universities, and propose improvements and optimization measures and the four systems of “systematic design outlined in the outline, teamwork coordination of team building, network expansion of environmental construction, and dual promotion of quality assurance". The countermeasures to improve the effectiveness of the ideological and political education in universities, experience summarization, theoretical analysis and empirical research, the idea of constructing a “three-stage full environment” network ideological and political education model for colleges and universities is proposed. Through in-depth understanding and analysis of the relevant knowledge of data mining artificial intelligence technology, the relevant methods of data mining artificial intelligence technology are used to solve the timeliness problems of ideological and political education reform in colleges and universities, so that relevant managers can timely learn relevant information in complex issues to provide solutions for further decision-making.

Research on Integration Degree Curve of Asynchronous Microprocessing Based on Virtual Characteristics Computing

2014 ◽  
Vol 543-547 ◽  
pp. 3458-3461
Author(s):  
Ming Xia Zhu
Keyword(s):  
Data Mining ◽  
Computational Analysis ◽  
Simulation Experiment ◽  
Reference Value ◽  
Ideological And Political Education ◽  
Political Education ◽  
Ideological Education ◽  
Integration Degree ◽  
The Impact ◽  
Logic Unit

Based on the virtual computing principle of computers feature and compatible MCU logic unit of full asynchronous microprocessor, this paper designs computer simulation platform of ideological and political education. The platform has data mining and analysis module. In order to verify the reliability of the platform, we design the data analysis simulation experiment of ideological and political education. Through the calculation, we can get the MCU integration curve. According to the impact of ideological and political education on users, we use computational analysis module to draw thinking fluctuation curve of political ideological education. We also can get thinking step characteristics of Political and ideological education which has high reference value for the research of the ideological and political education.

Research on the model of college students’ ideological and political evaluation based on data mining

2021 ◽  
pp. 1-4
Author(s):  
Linting
Keyword(s):  
College Students ◽  
Data Mining ◽  
Evaluation System ◽  
Rapid Development ◽  
Value Orientation ◽  
The Body ◽  
Ideological And Political Education ◽  
Political Education ◽  
Political Evaluation ◽  
The Times

In the whole educational system of our country, ideological and political education is an important component, and contains very rich content. With the development of the times, a variety of new information technology methods have been actively applied to the ideological and political practical teaching. At present, the group of college students is growing up with the rapid development of Internet. The “95 after generation” network “indigenous people” has undergone great changes in the evaluation body of Ideological and political education. Evaluation of Ideological and political education of the traditional value orientation gradually deconstructed, a new multi value orientation to penetrate into the body of all aspects of the behavior, must be established in accordance with the characteristics of the times subject evaluation system, the evaluation of “down to earth” and easy to be operated, rather than a mere formality. Based on the actual situation, this paper analyzes the close relationship between data mining technology and the evaluation of College Students’ Ideological and political education, and then focuses on the related problems of College Students’ Ideological and political evaluation model based on data

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