Innovation Of Political Education Research Articles

Construction of Ideological and Political Education Innovation and Development Platform of Colleges and Universities Based on Big Data Technology under the Concept of Green Ecological Development

Abstract This paper combines association rules and collaborative filtering algorithms to build a course recommendation method that considers personalized learning characteristics on the innovative development platform of Civic and Political Education in colleges and universities. The related algorithms in the association rules are used to visualize and analyze the association of the 10 main contents of the Civic and Political courses and give the combination of the contents of the Civic and Political courses. By analyzing the mastery and interest of students on the platform, we push the combination of courses that meet the personalized needs of students according to their knowledge, ability and interest. The constructed personalized teaching platform is used in actual teaching, and the application of association rules in course analysis and personalized push function is analyzed to prove the effectiveness of the platform. The impact of the platform on teaching is evaluated by comparing the students’ performance under platform learning to that under traditional teaching. The results show that the average scores of the Civics course content of group D1 are all above 80, and the significance value of the difference between group D1 and D2 is 4.21% < less than 5%, indicating that there is an obvious achievement difference between the two groups. In the recommended course content of Student 2, the score of the combination course A4 and A7 was 8.2158, and the learning interest rating was 17.326, which was 0.769 higher than the sum of the interest ratings of the two courses alone.

Construction of Ideological and Political Education Innovation Mechanism in the Era of Big Data - Based on Data Analysis Methods

Abstract In the era of big data, the constantly innovative technology provides a new model for the development of ideological and political education. In this paper, on the basis of the data mining process, regression analysis and clustering algorithms are used to construct a visual analysis model of ideological and political education data in order to better provide teachers with more information about students’ data and explore the factors influencing ideological and political education. On this basis, an innovative mechanism for ideological and political education has been constructed, and the Introduction to International Politics course at X University of G Province is used as an example to analyze its effectiveness. The results show that there is a significant difference between the two groups, except that there is no significant difference in the overall learning motivation level (p=0.241>0.05). Compared with the pre-test, students in Group A showed a small downward trend in national identity, learning motivation, academic level, and its sub-dimensions as a whole (0.028-0.162). In contrast, Group B showed an upward trend, with an enhancement of between 0.134 and 0.352. The adopted innovative mechanism of ideological and political education can significantly improve students’ national identity and academic level in all aspects and effectively stimulate students’ endogenous learning motivation.

Research on the innovative development model of ideological and political education based on big data and self-media environment

Abstract This paper aims to explore the innovative development model of ideological and political education. By establishing a Civic and Political Science teaching platform, two functions of classroom interaction and online dual-teacher interaction are designed under nine ideological and political teaching modules. The VR technology and system framework are analyzed, and the corresponding MDP algorithm is constructed. The algorithm model was used to analyze the percentage of students’ favorite Civics classrooms and the acceptance level of VR teaching classrooms. The result data show that only 27.5% of students like Civics class, 51.53% of students maintain a neutral attitude towards Civics class again emotionally, and 16.36% of students do not like Civics class. 70.1% of students prefer the means of communication of Internet platform tools. 16.58% of students prefer the means of communication of newspapers and magazines, 50.2% of students prefer the means of video communication, and 35.26% of students prefer the means of video communication. 35.26% of students prefer book communication. This paper provides reference data and models for the development of ideological and political education innovation.

Interactive voice system for political education innovation based on the era of 5G converged media

Interactive voice system for political education innovation based on the era of 5G converged media

Reform and Innovation of Political Education in Journalism and Communication in Universities under New Media Environment

Reform and Innovation of Political Education in Journalism and Communication in Universities under New Media Environment

Discrete Dynamic Modeling Analysis of College Students’ Ideological and Political Education Based on Particle Swarm Optimization Algorithm

Today, with the rapid development of the Internet, the new carrier and platform of college students’ ideological and political education innovation need to be improved. In order to improve the timeliness of college students’ ideological and political research, in view of this characteristic, particle algorithm is studied. Combined with the principle of particle algorithm, the core idea of particle algorithm is applied. College students think about their past behaviors and conduct self-evaluation and reflection. On the other hand, it is the competition and cooperation between multiple academic groups. Combined with particle swarm optimization algorithm, through model optimization, deal with the fitness value between the two attributes to optimize the work. Positive and negative excitation measures are introduced in the experimental research, and the particle swarm optimization evaluation function and behavior weighting factor are analyzed to hypothetically describe the working method. At the same time, it is pointed out that the educational working methods should be adjusted in time according to the changes of student groups and individual behaviors, so as to achieve good work results. Research shows that positive incentives are better than no incentives, and the introduction of negative incentives can only prevent college students from becoming negative role models because they cannot give them the best state of consciousness.

Exploration of Intelligent Teaching Methods for Ideological and Political Education in Colleges and Universities under the Background of “Mass Entrepreneurship and Innovation”

The core subject matter of the development of innovative and entrepreneurial talents in higher vocational colleges, as well as the solution to the social employment issue, is the investigation of intelligent teaching methods for ideological and political education in colleges and universities against the backdrop of “mass entrepreneurship and innovation.” Artificial intelligence presents challenges of lack of emotion in the process of ideological and political education innovation in colleges and universities under the background of AI. AI does not provide information resources, technology, and thinking opportunities for the innovation of ideological and political education in colleges and universities. Therefore, this research presents a facial expression recognition approach based on facial recognition technology to address the emotional problem in intelligent teaching methods. This method can effectively and accurately identify the facial expressions of students during learning so that intelligent tools can identify students’ emotions in time, make corresponding adjustments quickly, and improve teaching efficiency. According to this study’s experimental findings, the facial expression recognition approach based on the upgraded AlexNet achieves an average recognition accuracy of around 75%, while the fine-tuning method based on the VGG-Face model achieves an average recognition accuracy of about 88.5%. The method based on the VGG-Face model is better suitable for face recognition in intelligent education, which can determine the status of students in real-time and alter the lesson plan, as seen by the facial expression recognition accuracy rate based on the enhanced AlexNet being 13% higher.

Innovative Development Model of College Students' Education under We Media Based on Big Data

Innovative development of College students' education is the endogenous driving force of manufacturing development.In recent years, with the rapid development of we media technology represented by microblog and wechat, we media has become the most active main platform of network communication. In the irresistible development trend of we media, the education of college students is facing opportunities and challenges. This paper studies the innovative development model of College Students' Education under we media based on big data. This paper analyzes the characteristics of we media environment, such as the nodalization of communication subject, the interaction of communication mode, and the fragmentation of communication content. At the same time, this paper analyzes the connotation of the concept of College Students' education innovation, the concept of College Students' Ideological and political education innovation under the environment of we media, and its basic characteristics, such as the equality of education concept, the interaction of education methods, the life of education content and the era of education carrier. At the same time, it also discusses the significance of students' educational innovation in the environment of we media. The experimental data show that the new method can build a new education mode, so as to actively and effectively carry out the education and guidance of college students.

New Characteristics of College Students’ Ideological Dynamics and Innovation of Ideological and Political Education Methods based on Psychological Education

Under the influence of social environment, the ideological dynamics of college students have tremendously changed. Among them, the biggest change is that the psychological reception mechanism is very different from the level of self-cognition. Since the report of the 17th National Congress of the Communist Party of China, the state has formed an agenda to strengthen the ideological and political education in colleges and universities, among which, it is important to reinforce humanistic care and psychological counseling. Mental health education is inextricably linked to the ideological and political education in colleges and universities. Therefore, this article begins in the perspective of psychological education, analyzes the ideological dynamic characteristics of college students, summarizes effective principles and important measures of ideological and political education innovation methods in order to maximize the constructive role of ideological and political education.

Reform and Innovation of Higher Fine Arts Distance Education under the Background of Big Data

The development direction of online teaching is personalized and customized teaching based on user needs. The application of big data(BD) technology to the art remote network teaching platform can effectively solve the problems of the huge and chaotic amount of teaching resources, the difficulty of user selection, the weak management of the network learning process, the inefficient use of teaching resources, and the lack of user role sense. The purpose of this article is to study the reform and innovation of higher art distance online education under the background of BD. Methods such as literature analysis and BD technology closely link BD with education reform and innovation. This article uses BD technology methods to discover and grasp the laws of higher art distance online education in colleges and universities(CAU), build a higher art distance online education innovation system in CAU, and then promote the innovation of college art distance online education. This paper proposes a distance education innovation system for CAU from the perspective of BD, and further adopts the method of structured system analysis to carry out an in-depth study of the innovation system of CAU distance education of fine arts from the perspective of BD. This article points out that the college network ideological and political education innovation system under the BD perspective is composed of internal and external elements such as ideas, mechanisms, paths and carriers. Based on the analysis of the realistic basis of higher art education innovation in CAU from the perspective of BD, this paper puts forward the realistic possibility of the innovation of higher art distance network education under the vision of BD. Experimental research shows that there are more than 700 million netizens in my country, among which netizens are mainly 20-29 years old, accounting for 30.30% of the total number of netizens. In addition, students are an important part of netizens, reaching 25.4%.

The Development Path of Ideological and Political Education Innovation in Universities Based on the Computer

With the continuous expansion of the application scope of network technology, there are more and more various network interaction platforms. “Micro” as a new term in the Internet era is gradually gaining popularity. The development of media platforms such as Weibo and WeChat has pushed human information into the micro era. Under the micro era, ideological and political education in universities has also undergone corresponding changes.

Retraction: Evaluation System of Ideological and Political Education Innovation Ability Based on Computer Technology (J. Phys.: Conf. Ser. 1744 032082)

This article has been retracted by IOP Publishing following an allegation that raises concerns this article may have been created, manipulated, and/or sold by a commercial entity. In addition, IOP Publishing has seen no evidence that reliable peer review was conducted on this article, despite the clear standards expected of and communicated to conference organisers. The authors of the article have been given opportunity to present evidence that they were the original and genuine creators of the work, however at the time of publication of this notice, IOP Publishing has not received any response. IOP Publishing has analysed the article and agrees there are enough indicators to cause serious doubts over the legitimacy of the work and agree this article should be retracted. The authors are encouraged to contact IOP Publishing Limited if they have any comments on this retraction. Retraction published: 16 September 2022

Evaluation System of Ideological and Political Education Innovation Ability Based on Computer Technology

With the continuous development of society, China pays more and more attention to education. The efficient development of education helps to cultivate a group of talents needed by society. At present, in the process of education, ideological and political education should be regarded as the key content of education, scientific and effective ideological and political education should be carried out for students, and the ideological level of students should be continuously improved to promote the better improvement of our country’s ideological and political education system. In the environment of new media, through the development of an evaluation system based on computer technology, we can effectively discover the current deficiencies of ideological education, and formulate corresponding solutions based on specific problems, so as to promote the improvement of my country’s ideological and political education.

A Brief Analysis of the Opportunities and Challenges Facing the Innovative Development of Ideological and Political Education in Universities under the Background of “Internet +”

With the continuous development and progress of information technology, China has entered the stage of comprehensive network information development. Internet technology is also gradually playing an important role in various fields. The same is true in the field of education, and the combination of the Internet and education is also an inevitable development trend. Under the background of “Internet +”, the development of ideological and political education in colleges and universities is also the same. In the process of development, reform and innovation should be actively combined with the Internet. This paper focuses on the changes of ideological and political education in colleges and universities under the background of “Internet +”, and explores the development paths of ideological and political education innovation and Internet in colleges and universities. By exploring the innovative development of ideological and political education, the quality of ideological and political education in colleges and universities can be improved, thus further improving the innovative development of ideological and political education in colleges and universities, and laying a good foundation for the development of ideological and political education. Through in-depth exploration of ideological and political education innovation and development, it can be concluded that the current innovative development of ideological and political education in universities needs to be further explored with the help of Internet information technology. At the same time, attention should be paid to the inheritance and continuation of the correct values in traditional culture, so as to achieve the organic combination of the Internet and ideological and political education in colleges and universities.

Application Analysis of Confucianism and Legalism in the Contemporary Ideological and Political Education of College Students

Ideological and political education innovation Students need to combine the development of education status quo, follow the relevant principles and rules, principles and mechanisms adjust education to make it move in a healthy direction. Only through a variety of methods to make ideological and political education into the heart, the brain, in order to make ideological and political education to achieve substantial results and teachers as the subject of education, focusing on the direct knowledge of education to instill students, and students in classroom education as the object of factors, passive acceptance of knowledge of the learning process. Indoctrination in Education Act focus on absolute obedience and authority of education, emphasizing obey the guidance of teachers in the classroom education, in order to improve the performance of individual students, and students lose the initiative and the right to speak for study and education. In order to adapt to changes in the new era of college students' ideological, ideological and political education need the traditional didactic approach to a participatory model of education, get rid of teachers instill knowledge linear way. Because of ideological differences between college students, which determines the ideological and political education of the inevitable trend toward personalized direction and emotional education method is important for the ideological and political education of college students to promote physical and mental health and personality development, the formation of good character, to establish a good relationship between teachers play an important role. Students thinking is generated from practice, thinking and understanding is correct or not, must be tested with innovation of ideological and political education to the needs of practices into the educational activities, the practice of cultivating high-quality talents through social development. Should be constrained not suited to the development of education in educational methods into teacher Guided approach to education, to effectively carry out ideological and political education and work in the right direction.