The purpose of this article is to determine the equitability of airport and university allocations throughout Ethiopian regional states based on the number of airports and institutions per 1 million people. According to the sample, the majority of respondents believed that university allocation in Ethiopia is equitable. In contrast, the majority of respondents who were asked about airports stated that there is an uneven distribution of airports across Ethiopia’s regional states. Hence, both interviewees and focus group discussants stated that there is a lack of equitable distribution of universities and airports across Ethiopia’s regional states. This paper contributes a lesson on how to create a comprehensive set of determining factors for equitable infrastructure allocation. It also provides a methodological improvement for assessing infrastructure equity and other broader implications across Ethiopian regional states.

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.

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.