There are a number of issues that can influence elderly life satisfaction, which can mirror their welfare. This study aims to explore the differences in elderly parents’ life satisfaction across socioeconomic characteristics and investigates how the traits of both children and parents associate with elderly parents’ life satisfaction in Thailand. This study uses individual data obtained from Thailand’s National Statistical Organization covering 2008–2015, 2018 and 2020, with a total sample size of 28,494. To investigate the association between children’s and parents’ characteristics, particularly formal education and parental life satisfaction, this study uses ordered logistic regression for the analysis. Our results show that male parents are more likely to have higher life satisfaction than their female counterparts. Parents who are employed, holding a bachelor’s degree, and living with female children are more satisfied with their life. Statistically, children’s formal education demonstrates its importance for their elderly parents’ life satisfaction. This documents the vital role of schooling in improving parental life satisfaction. Moreover, facing the challenge of entering an aging society, government agencies must take a proactive stance on creating jobs suitable for the elderly or retirees to maintain their sense of independence. The evidence of intergenerational mobility reaffirms the importance of children’s education along with their caring ability, which should be strengthened.

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.

The competencies of public health professionals serve as the cornerstone for curriculum development ensuring that educational programs are pertinent efficient and attuned to the requirements of both the public health workforce and the communities they serve. This study endeavors to investigate the knowledge competency of public health professionals in Thailand with the intention of refining the suitability of knowledge competency for curriculum development tailored to the needs of public health professionals in Thailand. Employing a qualitative study, the study conducted semi-structured interviews with 17 university lecturers in public health programs in Northeastern Thailand. The data collected were transcribed and analyzed using content analysis. The findings elucidate that the lecturers articulated a core knowledge content pertinent to public health professionals in Thailand delineated across five principal themes and thirteen subjects within the public health curriculum. These themes encompassed: 1) Epidemiology and disease prevention (comprising two subjects), 2) Health promotion and community health (comprising four subjects), 3) Research methods in public health and biostatistics (comprising two subjects), 4) Public health administration, health system, and laws (comprising three subjects), and 5) Environmental health and occupational health and safety (comprising two subjects). Subsequently, this study scrutinized five core courses to formulate a model curriculum for public health. The proposed model curriculum is intended for application in both planning and the development of the public health workforce, fostering interdisciplinary learning and nurturing public health professionals rooted in the authentic context of Thailand.