The article discusses the actual problems of practical training in the tourism and hospitality industries in Russia and identifies the main problems of training specialists at Russian specialized universities. The main focus is on building partnerships between universities and employer organizations in order to train highly qualified specialists. Purpose: The research is aimed at creating an effective model of practical training based on the interaction of the university with employer organizations within the framework of the training of specialists in the tourism and hospitality industries. Design/Methodology/Approach: The work is based on scientific publications devoted to evaluating the effectiveness of the existing system of personnel training for the tourism and hospitality industries, studying its features, building models of vocational education, and using practice-oriented programs in the training of specialists. To study the problems of practical training of personnel for tourism and hospitality, systematic and structural approaches were used as a methodological basis, as well as methods of analysis and synthesis, the study of models of cooperation between universities and employers, and methods of monitoring and evaluating the quality of training specialists. To obtain empirical data, an analysis of the needs of the labor market for specialists in the hospitality industry was carried out, as was the study of models of cooperation between universities and employers. Results: In the course of the work, the author has formed a model of practical training for specialists in the tourism and hospitality industries, including the purpose and objectives, process requirements, organization conditions, and requirements for the results of the process. The innovative nature of the proposals lies in the development of new models of practical training based on gamification technology. The direction of further research may include the development of a methodology for the organization of the university’s interaction with employer organizations in the framework of practical training. Conclusion: The results of the study can be used by professional educational organizations to organize the process of practical training of students, which will effectively solve the problem of training personnel for tourism and hospitality. The social consequences of organizing the process of practical training for students will include increasing the competitiveness of graduates in the labor market, improving the quality of tourist and hotel services, introducing innovations into the tourism and hospitality industries, and developing startups.

Background: Sustainability plays a crucial role in the development of the education sector. It is analyzed that higher education institutions (HEIs) continuously working on the adoption of sustainable practices for carrying out business operations in the long run. Agenda 2030 is a comprehensive, multifaceted strategy that serve as an important framework for the comparison to uphold different principles. Additionally, the UN 2030 Agenda concerning sustainable development is introduced as global idea of balanced development. The 2030 Agenda and SDGs representing the program related to global development programs. Higher education institutions also working on the adoption of sustainable development perspective and the issues linked with them. Aim: The main aim of the study is to determine the level of knowledge, awareness, and attitude of the university community for achieving sustainability in HEIs. Policy Implementation: Adopting sustainable behavior is encouraged when policies are implemented well. Universities have the authority to develop and implement sustainability policies that set guidelines and requirements. Topics like waste reduction, environmentally friendly transportation, and environmentally friendly buying may be covered by the sustainability policies. Acting sustainably is encouraged among university community members through the implementation of sustainability policies. Conclusion: Findings stated efforts across sectors for the promotion of awareness and alignment with the 2030 Agenda consider a comprehensive strategy for addressing humanity, nature, and human rights. In higher education institutions, the role of education emerges as pivotal, developing green practices, development of campuses, and attracting students globally. In HEIs green practices are carried out for the development of the campus and activities in the future terms. Universities also supported in the adoption of sustainability in working education institutes international students are also attracted to them. It is identified that educators are playing an important role in achieving sustainability aspects in the education sector.

Human capital, which is a key resource of every organization, is characterized by high sensitivity to social, cultural and other factors that are not necessarily economic in nature. In the process of managing this capital, employee satisfaction becomes key, resulting from various reasons. In this study, we attempted to examine the level of satisfaction of university employees. The aim of this study was to gather information on the level of employee satisfaction with their job positions and to examine the relationships between selected, identified factors influencing their job satisfaction. The paper used multivariate statistical analysis, mainly Wilcoxon tests and Spearman rank correlation. Analysis of the survey results confirmed significant relationships between factors such as work atmosphere, appreciation of work effects, proper division of responsibilities and possible help in the team.

Gender inequality is a structural social problem, associated with history, culture, education, religion and politics, this difficulty occurs in all social institutions due to the heterogeneity of the structure in the sexual division of labor, socioeconomic inequality, inclusion and inequity in participation in the public space between men and women. Public policies and attitudes towards gender equality in Peruvian university students were analyzed according to socio-academic variables. A descriptive-comparative study, with a quantitative approach, and not experimental cross-sectional, involved 776 university students from a public and a private university in Peru, intentionally selected. Adaptive attitudes (57.9%) were found to tend to be sexist; Likewise, in the study dimensions, the same trend was found in the sociocultural and relational levels, while in the personal dimension students develop sexist attitudes (62.4%). It is concluded, attitudes towards gender equality are sexist reproduction that is influenced by the sociocultural environment of the family, this situation occurs to a greater extent in men, while female students present attitudes of equality in greater intensity to seek equity in the distribution of roles.

The study’s purpose is to evaluate the influence of some factors of the model of planned behavior (TPB) and the perceived academic support of the university on the attitude toward entrepreneurship and entrepreneurial intention of students. The results of Structural Equation Modeling (SEM) linear structural model analysis with primary data collected from 1162 students indicated that entrepreneurial intention is influenced by attitude toward entrepreneurship, subjective norm, perceived educational support, and perceived concept development support. In addition, this study also found the positive influence of perceived educational support, concept development support, and business development support on attitude towards entrepreneurship. Interestingly, the influence of perceived business development support on entrepreneurial intention was rejected, and personal innovativeness is demonstrated to promote an attitude toward entrepreneurship. Notably, this study also highlights the moderating role of personal innovativeness on the relationship between attitude toward entrepreneurship and entrepreneurial intention. Based on these findings, several implications were suggested to researchers, universities, and policymakers.

This study aims to predict whether university students will make efficient use of Artificial Intelligence (AI) in the coming years, using a statistical analysis that predicts the outcome of a binary dependent variable (in this case, the efficient use of AI). Several independent variables, such as digital skills management or the use of Chat GPT, are considered.The results obtained allow us to know that inefficient use is linked to the lack of digital skills or age, among other factors, whereas Social Sciences students have the least probability of using Chat GPT efficiently, and the youngest students are the ones who make the worst use of AI.