The scientific knowledge graph is an emerging research method in this context. In the research of physical education teaching, the research and sorting out of the research results of physical education teaching in my country from the perspective of scientometrics and information visualization is still slightly insufficient. The similarity between the frontiers of physical education teaching research in China and the United States in the past five years is that both countries have paid more attention to research topics such as physical education teaching methods and physical education courses. This paper proposes a rough set knowledge reduction algorithm based on improved genetic algorithm. The support and importance of conditional attributes to decision attributes are introduced into the information system, which are added to the genetic algorithm as heuristic information, and the concepts of population dissimilarity and individual dissimilarity are proposed to improve the genetic algorithm. The research on school physical education in my country is biased towards problem research, while the research on physical education teaching methods in the United States is biased towards student health; In addition, starting from the national conditions, the hotspots in the field of physical education teaching in my country tend to be “Sports and Health Curriculum Standards”, physical education teachers, physical education ideas, educational theories and college sports, while the hotspots in the field of physical education teaching in the United States tend to be physical activity, children and adolescents , students, women, exercise education, physical education, self-determination theory, and the integration of psychological motivation and physical education. Experimental data analysis my country’s physical education curriculum research should appropriately increase the attention to the details of physical education curriculum, and my country’s physical education teaching practice research should appropriately increase the research on physical education from the perspective of public health.

In recent years, ideological and political theory (IPE) education has received more and more attention. System theory can well construct the IPE teaching mode, so we need to have a good grasp of system theory. This paper starts with the significance of system theory in the practical teaching of IPE, finds the IPE curriculum that conforms to system theory, and constructs the basic mode of practical teaching of IPE on this basis. Using the idea of a multi-level fuzzy comprehensive evaluation to quantify teachers’ teaching quality, this paper establishes an algorithm model to quantitatively measure teachers’ teaching quality fuzzy.

In the context of today’s big data and information age, blended learning has gradually entered people’s vision. At present, the number of business Japanese learners in China is increasing, and the breadth and depth of business Japanese education are expanding in all aspects. Therefore, people gradually pay attention to the practice and exploration mode of Internet, Japanese teaching and mixed learning, and learning evaluation is an important part of them. In this study, the construction of hybrid learning evaluation index is studied in the form of algorithm optimization and experimental verification. It takes blended learning as the evaluation object, aiming to build an evaluation index system of blended learning and help teachers implement high-quality blended learning. Based on the learning theory, this study also proposes the guiding strategies for senior high school students’ business Japanese learning from the perspective of schools, teachers and students themselves. Through empirical research and hypothesis verification, it provides reference for business Japanese education and learning in senior high schools in China. The experimental results show that the Nivre model after our calculation and optimization is based on the new education concept and the era development environment, and constantly improves the mixed learning mode, which improves the quality of business Japanese learning. Through correlation analysis and reliability and validity tests, the accuracy of the model in different test sets exceeded 92\%, which was in line with expected assumptions and empirical tests. The model has certain practical value.

With development of Internet of Things, big data and artificial intelligence, cell phone signaling data, point-of-interest data and machine learning methods have been widely used in research of various fields of transportation. The use of big data processing techniques and machine learning methods to mine intercity travel data collected by various types of traffic detectors provides a new way of thinking to study travel mode selection behavior. In this paper, we pre-processed cell phone signaling data, geospatial data and interest point data around three aspects: personal attributes, travel attributes and travel mode attributes, and designed intercity travel target group extraction, travel chain extraction, travel mode extraction and travel purpose extraction algorithms, which provide basis for travel feature analysis and travel mode choice behavior prediction modeling.

With the construction of the national discourse power, the international communication of German-language has also attracted the attention of the public, and its own communication attributes and characteristics have also become a hot topic around the world. A machine learning development process includes operations such as data preprocessing, feature engineering, model design, and super parameter optimization. Changes in the configuration of each operation may affect the final quality of the model. Nor is it mainly the problem of teachers’ teaching, but the communication barrier caused by cultural differences. We can see that there are still many obstacles and misunderstandings in language, thought, cross-cultural communication and knowledge in many communication occasions between China and Germany. Through reviewing and summarizing the previous studies on intercultural communication, this paper analyzes the current situation of intercultural communication studies, points out the problems existing in the current research, and tries to put forward the cultivation methods of intercultural communication.

Chinese animation has been facing an embarrassing situation since its birth. This phenomenon that foreign animation monopolizes the market and domestic animation is weak in an all-round way has continuously promoted the industrialization of Chinese animation. With the promotion of the power of new media, the branding operation of the animation industry is not only an economic and industrial form based on specialized division of labor, but also subject to complex and multi-dimensional social relations composed of various factors such as society and culture. Network, this social network structure directly determines the competitiveness of domestican-imation in the future. With the development of the overall social level, people will pay more attention to sports events, and at the same time, more people will participate in sports events. Whether holding a sports event can meet the spiritual and cultural needs of the people for the operation of sports branding depends on whether the organization and operation of the competition are appropriate. The most typical is that sports events not only bring wonderful viewing content to everyone, but ows more important cultural significance especially on the road of social modernization. The study found that the mascot modeling features of sports events can be divided into two categories: appearance modeling features, color, and accessories modeling features. The two major categories are analyzed and studied in detail, hoping to enrich thalso let us feel the cultural enjoyment brought by sports. However, people’s understanding of event culture and sports event culture is not comprehensive, and it she rules of seeking the modeling characteristics of sports event mascots in theory, provide theoretical reference for future researchers, and guide the creation of sports event mascots in practice. The experimental results show that the optimized cellular genetic algorithm has greatly improved the uniqueness, fun, cognition. It meets the needs of human aesthetics, and can better spread the spirit of sports and communicate with all parts of the world.