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

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.

2020 ◽  
pp. 1-12
Author(s):  
Zheng Rong ◽  
Zheng Gang

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.


2020 ◽  
pp. 1-12
Author(s):  
Huang Xiaoyang ◽  
Zhao Junzhi ◽  
Fu Jingyuan ◽  
Zhang Xiuxia

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.


2020 ◽  
pp. 1-10
Author(s):  
Yuejun Xia

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.


2019 ◽  
Vol 3 (4) ◽  
pp. 153
Author(s):  
Haige Wang

<p>Nowadays, the Internet technology has been widely used in various industries. The application of this technology can not only effectively promote the development of the industry, but also can fully improve the work efficiency of a wide range of industries. Besides, the application of the Internet technology in the education industry not only can innovate the teaching mode, but also can improve the students' learning efficiency. The ideological and political education plays an important role in education in colleges and universities. This paper mainly analyzes the impact of the Internet on the education and explores and discusses the strategy of the innovation of the ideological and political education under the age of the Internet education.</p>


Author(s):  
Liting Feng ◽  
Yulong Dong

A social activity that uses certain ideas, concepts, political views, and moral values in a society or social group enriches students’ ideology and allows learners to form ideological and moral qualities that correspond to their social and political establishment. The continuous improvement of their complete quality and technical skills is at the heart of social and economic growth. In ideological and political education, risk factors are widely influenced, including the impact of educational purposes and education providers. In this paper, Deep Learning-Based Innovation Path Optimization Methodology (DL-IPOM) has been proposed to strengthen data awareness, improve the way of thinking in ideological and political education. The political instructional collaborative analysis is integrated with DL-IPOM to boost Ideological and political education excellence. The simulation analysis is conducted at (98.22%). The consistency of the proposed framework is demonstrated by efficiency, high accuracy (98.34%), overshoot index rate (94.2%), political thinking rate (93.6%), knowledge retention rate (80.2%), reliability rate (97.6%), performance (94.37%) when compared to other methods.


2021 ◽  
Vol 7 (5) ◽  
pp. 4925-4937

Objectives: With the constant improvement and development of the ideological and political educational system in our country, colleges and universities pay more and more attention to the ideological and political education for students in the teaching process. However, there is still a lack of effective management methods in the process of ideological and political education. Methods: Based on the above considerations, in this paper, the research on the educational management model of ideological and political courses in colleges and universities based on anthropological linguistics was put forward. Firstly, the relevant theories of anthropological linguistics were elaborated and a detailed introduction was carried out to the educational management methods; based on this, the intervention mechanism of using anthropological linguistics for educational management was proposed; then, by adding the counseling function of cognitive science to management means, the initiative of students in the teaching process was further mobilized. Results: This teaching management can provide reference value for a wide range of applications in the future. In order to verify the feasibility of the study, the test of practical educational management model of ideological and political courses was used. Conclusion: By comparing with the traditional way, it is concluded that it is feasible to study the educational management model of ideological and political courses in colleges and universities based on anthropological linguistics.


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