The cultivation of English majors in applied universities aims to cultivate versatile foreign language talents that meet the needs of social development. The construction and development of the English major need to keep up with the pace of changes in the times, and meeting the needs of current social development is the main criterion for measuring the value of this major. The satisfaction of English major students with their major is an important factor affecting the construction and reform of the major. This article mainly uses the questionnaire survey method to survey English majors in several applied universities and analyze their major satisfaction.

This journal article aims to analyze the relationship between school culture and effective headteacher educational leadership, and how this relationship affects school performance and student learning outcomes. We will explore this important issue in depth and provide institutions and principals with practical advice on how to understand and use school culture to enhance the educational leadership of principals.

As one of the ways of the double reduction policy, the Family Education Promotion Law not only urges state organs and schools to fulfill their obligations, but also contributes to the growth of children, the shaping of family traditions and the vigorous development of society.However families who still believe that the traditional concept of beating still exists and mostly in rural areas, families with advanced concepts believe that children should not take beating and scolding, but conform to their own characteristics and using a scientific way of education and training.

This paper explores the influence of the concept of "moral education" on physical education, and focuses on the application of Teaching Personal and Social Responsibility (TPSR) responsibility teaching model in physical education. Physical education teaching is not only the teaching of skills, but also the indoctrination of values. Through the thought of "cultivating people by virtue", we can make physical education based on moral education and return to the essence of education. The TPSR model makes this idea concrete, emphasizes the personal process and social responsibility, and includes the cultivation of students' sense of responsibility, team spirit and self-management ability in physical education teaching. Through theoretical discussion and empirical analysis, this study revealed the practical application and effect of TPSR model in physical education teaching, proved the importance of this teaching model, and put forward the construction idea of TPSR physical education teaching model. Future research can expand more application scenarios of the TPSR model to achieve better quality and more comprehensive physical education.

Common prosperity of spiritual life is a value pursuit of human beings for a better life and a better society. Promoting common prosperity in people's spiritual life has become the internal driving force for the innovation and development of ideological and political education in the new era. In terms of value implication, ideological and political education to lead the common prosperity of spiritual life mainly provides ideological guidance, establishes value coordinates and cultivates mental tone. Its core meaning is to enrich the connotation of common prosperity of spiritual life with scientific theory, standardize the pursuit of common prosperity of spiritual life with value concepts, and clarify the realm of common prosperity of spiritual life with aesthetic consciousness. Its realization path is mainly theoretical education, cultural edification and practice.

In agriculture, crop yield and quality are critical for global food supply and human survival. Challenges such as plant leaf diseases necessitate a fast, automatic, economical, and accurate method. This paper utilizes deep learning, transfer learning, and specific feature learning modules (CBAM, Inception-ResNet) for their outstanding performance in image processing and classification. The ResNet model, pretrained on ImageNet, serves as the cornerstone, with introduced feature learning modules in our IRCResNet model. Experimental results show our model achieves an average prediction accuracy of 96.8574% on public datasets, thoroughly validating our approach and significantly enhancing plant leaf disease identification.