"Physics Curriculum Standards for Compulsory Education (2011 Edition)" requires that physics teaching in junior high schools should focus on the development of students' scientific abilities, including the development of scientific knowledge and skills, scientific methods and attitudes. In view of the problems existing in middle school physics teaching such as being out of touch with real life, lack of interest, and traditional indoctrination teaching, integrating STEAM education concepts into physics experiment courses can greatly improve the interest of physics teaching and put students first. , teachers as instructors and assistants to improve the existing problems in the current physics teaching. Therefore, how to reasonably apply the STEAM education concept to the physical experiment course is a question worth exploring. I take "the design and production of floating sinks" as an example. The general idea is to build the main line of classroom teaching: the smoothness of knowledge logic, the progress of students' cognitive laws, the smooth design of teaching activities, and how to learn buoyancy and explore objects. To better understand the floating and sinking of objects when floating and sinking, interspersed with the educational concept of STEAM.

The development of China's education industry is closely linked to the progress of the country's society. With rapid economic development and continuous improvement of the political system, education has received attention from all sectors of society. Education has existed since the emergence of human society and has always been closely intertwined with human development. Humans are the primary subject of education. For educators engaged in the field of education, educational psychology is a well-known discipline and an important theoretical foundation for conducting educational activities and teaching in the future. The physical and mental development of contemporary children and adolescents has undergone significant changes compared to the past. For schools, it is of great significance for educators to effectively apply the relevant knowledge of educational psychology in communication and teaching with students to enhance teaching effectiveness and promote individual physical and mental development. This article discusses and studies how to apply educational psychology in teaching activities.

This study examines the interaction between foreign direct investment (FDI), idiosyncratic risk, sectoral GDP, economic activity, and economic growth in ASEAN countries using structural equation modeling (SEM) performed using AMOS software. The analysis uses data from the ASEAN Statistics Database 2023 to distinguish the significant direct and indirect impacts of FDI on idiosyncratic risks, sectoral GDP, economic activity and aggregate economic growth can. ASEAN, which includes ten Southeast Asian countries, has experienced rapid economic growth and increasing integration in recent decades, making it an interesting area to study these relationships. The study covers a comprehensive period to capture trends and differences among ASEAN member states. Applying SEM with AMOS allows a detailed examination of complex relationships between important economic variables. The results show a clear link between FDI inflows, idiosyncratic risks, industry GDP performance, economic activity, and overall economic growth. More specifically, FDI inflows have a notable direct influence on idiosyncratic risks, which then impact GDP growth by sector, and the level of economic activity and ultimately contribute to economic growth trends. economy more broadly in ASEAN countries. These findings highlight the importance of understanding and effectively managing the dynamics between FDI and various economic indicators to promote sustainable economic development across ASEAN. This information can inform policymakers, investors, and stakeholders in developing targeted strategies and policies that maximize the benefits of FDI while minimizing related risks to promote strong and inclusive economic growth in the region. This study highlights the multifaceted relationships in the ASEAN economic context, emphasizing the need for strategic interventions and policy frameworks to exploit the potential of foreign investment directed at ASEAN, to the Sustainable Development Goals and long-term economic prosperity in the region.

Social media interactivity creates consumer’s space of information seeking-sharing where its intensity could produce knowledge, creates new values and changes behavior. The aim of this study is to exploratory investigate the dual role of Generation Z’s information seeking-sharing behavior within green context through the interactive space of social media as a resource for the development of social media marketing strategy. The research employs mixed-method approach of qualitative-explorative data mining, quantitative cross-tabulation Chi-Square test, and integration. Two findings of this research are elaborated. First, consumer’s space of information-seeking leads to the process of green awareness rationalization, i.e., how environment-oriented actions can be rationalized. Second, consumer’s space of information-sharing leads to green social values, i.e., How environment-oriented actions can be socially recognized. The marketing implications of these two findings are business’ efforts to develop green-oriented strategic mindset through space of social media marketing “customer engagement” where the dual role of information seeking-sharing within green context is facilitated.

The paper considers an important problem of the successful development of social qualities in an individual using machine learning methods. Social qualities play an important role in forming personal and professional lives, and their development is becoming relevant in modern society. The paper presents an overview of modern research in social psychology and machine learning; besides, it describes the data analysis method to identify factors influencing success in the development of social qualities. By analyzing large amounts of data collected from various sources, the authors of the paper use machine learning algorithms, such as Kohonen maps, decision tree and neural networks, to identify relationships between different variables, including education, environment, personal characteristics, and the development of social skills. Experiments were conducted to analyze the considered datasets, which included the introduction of methods to find dependencies between the input and output parameters. Machine learning introduction to find factors influencing the development of individual social qualities has varying dependence accuracy. The study results could be useful for both practical purposes and further scientific research in social psychology and machine learning. The paper represents an important contribution to understanding the factors that contribute to the successful development of individual social skills and could be useful in the development of programs and interventions in this area. The main objective of the research was to study the functionalities of the machine learning algorithms and various models to predict the students’s success in learning.

Emotional education plays an important role in the field of education and is of great significance to students' mental health and all-round development. As a discipline focusing on emotional expression and creativity cultivation, art education provides a unique opportunity to penetrate emotional education. By analyzing the penetration of emotion education in junior middle school art teaching, this paper discusses the role and implementation strategies of emotional education in art teaching, aiming to provide valuable reference for educators.