This article explores the role of informatization in the integration and development of the cultural and tourism industry, and proposes corresponding analysis and strategies. Firstly, informatization improves the quality and efficiency of cultural and tourism products and services by enhancing the design and production process and personalizing and customizing the services. Secondly, informatization expands the boundaries of cultural and tourism products and markets by utilizing the internet and mobile applications to extend the spatial and temporal boundaries, and leveraging data analysis and intelligent technologies to broaden the scope and scale. Lastly, informatization enhances the management and operational level of the cultural and tourism industry, improving efficiency and decision-making through the use of advanced technologies such as big data and artificial intelligence.

Under the background of the continuous development of science and technology, the era of big data has come in an all-round way, and big data technology has also been widely used in the education industry. The course of financial management in applied colleges and universities is a highly applied course, which focuses on the substance of the course. Teachers need to create a good learning environment for students with the help of information technology, and constantly cultivate students' professional skills and professionalism. In order to improve the quality of financial management courses in colleges and universities, this paper mainly analyzes the management courses in application-oriented colleges and universities, expounds the factors affecting the practical teaching quality of management courses in colleges and universities, and analyzes the teaching methods of management courses in application-oriented colleges and universities. Finally, it is concluded that only when teachers constantly improve their teaching level, can students' learning level be improved by combining theory with practice.

As a group of college students who are about to enter social life and have a certain impact on socio-economic and technological development, their concepts and qualities will have a significant impact on social development. Therefore, in a complex and ever-changing social environment, schools should pay attention to educating college students in aspects such as their values, high moral literacy, and political awareness. Schools can take ideological and political education as the foundation, comprehensively educate students through the construction of a good academic atmosphere, and cultivate them into application-oriented high-quality talents. Based on this, this article mainly studies the construction methods of college students' academic style from the perspective of ideological and political education in the new era.

With the continuous development of our society, the education community has also put forward a series of new requirements that align with the current era.  Among them, in the teaching activities of kindergarten teachers, the effective reference of information technology is conducive to teachers guiding children to participate in learning, helping teachers to create a good teaching environment by means of information technology, and helping to expand children's vision and develop children's intelligence. However, at present, some kindergarten teachers in our country do not have information technology literacy, which hinders the growth of children. Therefore, this paper focuses on the cultivation of information technology literacy among kindergarten teachers in the new era.

A professional team of kindergarten teachers can guarantee the high-quality development of preschool education. In the process of professional development of kindergarten teachers, their professional development in different dimensions can usually be manifested in educational practice, which is related to the quality of kindergarten education and the development of children. Therefore, this paper first analyzes the current situation of the professional development of teachers in public kindergartens, points out the problems existing in the professional development of teachers, and hopes to promote kindergarten teachers to continuously improve their professional abilities and realize the sustainable development of the education team by exploring the path of professional development and training of teachers.

China’s annual government work report (GWR) contains terms with Chinese characteristics (TCC), reflecting unique policy frameworks. Translating these terms into English poses significant challenges due to cultural disparities between China and the West. This paper examines the English translation methods used for such terms, using the 2020 GWR as a case study, aiming to provide valuable insights for future translation practices.

Based on our 11 years of medical bachelor's degree education practice for international students in China, combined with the national "the Belt and Road" strategic background and the "Quality Standards of Higher Education for International Students in China (Trial)" issued by the Ministry of Education, this paper explores the strategies to improve the quality of medical education in China. Specifically, it includes: 1) optimizing the enrollment standards of students from countries along the "the Belt and Road"; 2) Improve the quality assurance system for medical bachelor's degree education in China; 3) Innovate the management concept of "convergence"; 4) Establish a comprehensive education system for the cultivation of international students in China; 5) Strengthen the process monitoring role of awarding standards for medical bachelor's degrees in China. To provide theoretical support and reference for our school and sister universities to improve the quality of medical bachelor's degree education in China.

Recognizing the discipline category of the abstract text is of great significance for automatic text recommendation and knowledge mining. Therefore, this study obtained the abstract text of social science and natural science in the Web of Science 2010-2020, and used the machine learning model SVM and deep learning model TextCNN and SCI-BERT models constructed a discipline classification model. It was found that the SCI-BERT model had the best performance. The precision, recall, and F1 were 86.54%, 86.89%, and 86.71%, respectively, and the F1 is 6.61% and 4.05% higher than SVM and TextCNN. The construction of this model can effectively identify the discipline categories of abstracts, and provide effective support for automatic indexing of subjects.