Use of technologies and online presence is now almost inevitable in language learning. The practice of virtual exchanges (VEs) has been receiving a lot of attention among educators at all levels over the past years. This research paper sheds light on 13 VEs carried out in pre-service teacher education in the last six years and proposes its own VE design based on recommendations from the literature with the future perspective of designing a specific VE for the research. The aim of the systematic review was at first to determine the exchange and interaction set-ups and the potential gains in the terms of pre-service teachers’ skills development. Afterwards, we identified areas for improvement and proposed our design of a VE between pre-service teachers of English in Slovakia and Turkey. Some of the expected contributions of the proposed VE design are development of a linguistic and intercultural communicative competence, digital literacy, and other competences relevant for development of VEs.

In recent years, awareness of sustainability has increased significantly in the hospitality industry, particularly within the hotel sector, which is recognized as a major contributor to environmental degradation. In response to this challenge, hotel managers are increasingly implementing green human resource management (GHRM) practices to increase Organizational Citizenship Behavior. Considering job satisfaction, and organizational commitment as mediator. A survey was conducted with 383 employees from three- and four-star Egyptian hotels and the obtained data were analyzed using SPSS version 22 and Amos version 24. Structural equation modelling was used to analyze the data. The study revealed that GHRM practices positively impacts Organizational Citizenship Behaviors (OCB), job satisfaction and organizational commitment in addition, the study found that job satisfaction and organizational mediates the relationship between Green Human Resource Management and Organizational Citizenship Behavior. The study found a positive link between GHRM and OCB, partially mediated by job satisfaction and organizational commitment. The recommend that implementation of GHRM practices in the hotel industry can have significant positive implications.

This study explores the determinants of political participation among Thai youth, focusing on the roles of political interest, knowledge, and efficacy. Employing stratified random sampling, data were collected from 191 university students in Bangkok. Structural Equation Modeling (SEM) via Smart PLS was utilized to test hypotheses regarding the direct and mediating effects of political interest and knowledge on participation, highlighting the mediating role of political efficacy. The findings indicate that political efficacy significantly enhances participation, while political interest boosts knowledge significantly but does not directly influence efficacy. Furthermore, political knowledge positively affects efficacy but not participation directly. Notably, the indirect effects of political interest on participation through efficacy alone are insignificant, but the pathways from interest to participation through both knowledge and efficacy, and from knowledge to participation through efficacy, are significant. These results elucidate the complex interactions between political interest, knowledge, and efficacy in shaping the political engagement of Thai youth.

More and more urban studies researchers and students are using images. This choice often stems from the need to illustrate, analyse and understand territories and urban phenomena. This contribution seeks to demonstrate, on the basis of examples drawn from scientific productions in Greater Lomé, how the photographic approach makes it possible to apprehend the urban phenomenon. Three forms of image use can be identified in the documents consulted. On the one hand, images are a source of data to support information received through observation. On the other hand, photography is a technique for collecting metadata which, when triangulated with several sources, enables a query to be answered. Finally, the diachronic and chronological analysis of images of a social reality enables us to detect the visible and the invisible in order to take a critical look at the social world and the dynamics of social relationships.

The introduction of artificial intelligence (AI) marks the beginning of a revolutionary period for the global economic environments, particularly in the developing economies of Africa. This concept paper explores the various ways in which AI can stimulate economic growth and innovation in developing markets, despite the challenges they face. By examining examples like VetAfrica, we investigate how AI-powered applications are transforming conventional business models and improving access to financial resources. This highlights the potential of AI in overcoming obstacles such as inefficient procedures and restricted availability of capital. Although AI shows potential, its implementation in these areas faces obstacles such as insufficient digital infrastructure, limited data availability, and a lack of necessary skills. There is a strong focus on the need for a balanced integration of AI, which involves aligning technological progress with ethical considerations and economic inclusivity. This paper focuses on clarifying the capabilities of AI in addressing economic disparities, improving productivity, and promoting sustainable development. It also aims to address the challenges associated with digital infrastructure, regulatory frameworks, and workforce transformation. The methodology involves a comprehensive review of relevant theories, literature, and policy documents, complemented by comparative analysis across South Africa, Nigeria, and Mauritius to illustrate transformative strategies in AI adoption. We propose strategic recommendations to effectively and ethically utilize the potential of AI, by advocating for substantial investments in digital infrastructure, education, and legal frameworks. This will enable Africa to fully benefit from the transformative impact of AI on its economic landscape. This discourse seeks to offer valuable insights for policymakers, entrepreneurs, and investors, emphasizing innovative AI applications for business growth and financing, thereby promoting economic empowerment in developing economies.

Students from different cultures possess varying levels of skills in learning, remembering, and understanding concepts. Some terms and their explanations may seem easy for one group of students but difficult for another. Therefore, delivering educational content that aligns with student’s learning capabilities is a challenging task based on cultural orientations. This study addresses the learning challenges by developing a Thesaurus Glossary E-learning (TGE) framework method. This study introduces the TGE method which is a multi-language tool with visual associations that adapts to students’ capabilities. It also examines cultural differences and native languages, particularly aiding Arab Native to visualize appropriate terms (thesaurus) and their explanations (glossary) based on students’ learning capabilities. TGE learns from students’ term selection behavior and displays terms at a simple or advanced level that matches their learning ability. Additionally, TGE demonstrated its effectiveness as an e-learning tool, accessible to all students anytime and anywhere. The study analyzed 314 records related to student performance, out of which 114 students were surveyed to evaluate the effectiveness of the TGE method. This work presents TGE as a novel e-learning tool designed to enhance conceptual thinking within the context of modern educational practices during the digital transformation. TGE is based on artificial intelligence algorithms and associative rules that simulate the human brain, establishing logical connections between related key terms and sketching associations among diverse facets of a situation. An experiment was conducted at a private university in the Sultanate of Oman to assess the effectiveness of the proposed TGE tool. TGE was integrated with selected subjects in information systems and used by the students as a resource for e-learning methods and materials. The results show that 85% of students who used TGE improved their performance by 19%. We believe this work could establish a new smart e-learning teaching method and attract modern and digital universities to enhance student learning outcomes linked with conceptual thinking.