This study explores the perceptions and experiences of K–12 educators in the United Arab Emirates (UAE) regarding the integration of artificial intelligence (AI) tools in classroom teaching. As AI technologies increasingly influence education, understanding teachers' views on their effectiveness, benefits, and challenges is crucial. The research employed a cross-sectional quantitative approach, collecting data from 102 teachers in both public and private schools. Results indicate generally positive attitudes towards AI tools, particularly among teachers who frequently use and feel confident in their application. Notable benefits include personalized learning opportunities, reduced teachers' workload, and enhanced student engagement. However, the study also highlights hurdles, including insufficient training, infrastructural limitations, and concerns over data privacy. The findings underscore the need for targeted professional development programs and policies that support equitable and effective AI integration, in line with the UAE's National AI Strategy 2031. Practical recommendations are proposed for educators, school administrators, and policymakers to foster the successful adoption of AI technologies in K–12 education. Ultimately, this research highlights that with proper support and infrastructure, AI can significantly enhance educational experiences, foster personalized learning, and equip students for the evolving digital landscape.

This working paper examines the influence of leadership styles on the incorporation of artificial intelligence (AI) teaching tools within hybrid learning models in international schools in the United Arab Emirates. The growing significance of AI in education necessitates competent leadership to shape strategies, policies, and teacher readiness. The study employed a quantitative correlational approach to poll 50 faculty members and leaders, investigating the impact of transformational, transactional, and laissez-faire leadership styles. Research indicates that transformational leadership significantly improves AI integration, particularly when supported by vision setting, professional development, and collaborative practices. However, limitations like time constraints, curriculum alignment issues, and data privacy concerns were observed. The report continues by suggesting that school leaders and policymakers should use adaptive leadership techniques that correspond with the changing technological environments in education.

This study investigates the impact of leadership styles on faculty motivation in higher education, with a particular focus on the multicultural academic environment of the United Arab Emirates (UAE). The research examines how transformational and transactional leadership styles influence faculty motivation, which style is perceived as most effective, and the specific leadership behaviors that contribute to faculty engagement. Quantitative research design was employed using a custom-designed survey administered to 130 faculty members at a higher education institution in the UAE. The survey instrument was pilot-tested and validated, and the collected data were analyzed using SPSS software. Both descriptive and inferential statistical techniques were applied to identify patterns, test hypotheses, and assess relationships between leadership styles and faculty motivation. The findings revealed that a combination of transformational and transactional leadership styles had the strongest influence on faculty motivation, with 66.9% of participants reporting motivation from both styles. Transformational behaviors such as inspirational motivation, individualized consideration, and intellectual stimulation were identified as key motivators, while transactional elements like contingent rewards also contributed, particularly in providing structure and clarity. Furthermore, 76.2% of faculty emphasized the importance of cultural awareness in leadership practices, underlining the need for adaptive leadership in diverse academic settings. While the study provides valuable insights, its scope was limited to one institution and relied on self-reported data, which may affect the generalizability of the findings. Nevertheless, the study offers practical recommendations for leadership development in higher education institutions and contributes to leadership theory by supporting a hybrid approach tailored to multicultural contexts.

This research focuses on the impact of leadership styles on employee satisfaction and productivity in the public sector of the United Arab Emirates. The understanding of how leadership influences both employee satisfaction and productivity is essential since the public sector in the UAE is always under continuous transformation for enhancement in efficiency and services. This research employs a quantitative approach using standardized and validated instruments the Multifactor Leadership Questionnaire, Job Satisfaction Survey, and the Self-reported Performance Questionnaire to assess the study variables. Data were collected from employees working in the public sector with various hierarchical levels through a simple random sampling method. The findings reveal that leadership styles have a positive moderate correlation with both employee satisfaction and productivity, while all three variables had a strong positive correlation. These results highlight the important role of effective leadership in inspiring employees to perform better in tasks and increase their satisfaction levels. The study suggests practical recommendations for policymakers and leaders to adopt leadership strategies that help to increase employee well-being and performance in the public sector.

This study investigates the key factors influencing teacher turnover in public and private schools across the United Arab Emirates. Using a mixed-methods approach, data were collected from 86 educators through questionnaires that combined both quantitative and qualitative elements. The findings reveal that low compensation, high workload, and mental health challenges are major contributors to teacher attrition. The study also highlights the influence of demographic characteristics, such as gender and years of experience, on teachers’ perceptions of these challenges. Key recommendations include increasing financial incentives, offering regular mental health support, and minimizing non-teaching administrative burdens. By offering insights specific to the UAE context, the research provides policymakers with practical guidance on how to enhance teacher retention and promote greater educational stability.

The dissertation provides a comprehensive investigation and detailed analysis of the intrinsic motivation and EM from a broader perspective of different industrial domains in the United Arab Emirates. Through quantitative survey questionnaires with professionals in different industries, the study examines how these variables affect Job satisfaction, motivation, and output. The literature investigates and examines renowned ideas such as SDT. Other theories include the Two-Factor Theory presented by Herzberg and the Hierarchy of Needs theory presented by Maslow. The provided conclusion of the study showcases that WLB, supportive leadership, and both internal and external motivators significantly boost motivation. Using a quantitative research approach. The results of the research were gathered from 200 respondents in order to examine the dataset using descriptive statistics. The examination also consists of correlation and regression analysis. The results indicate that intrinsic factors such as autonomy, career advancement, and meaningful work, along with extrinsic factors like financial incentives and recognition, significantly influence job satisfaction. After that, the extrinsic factors including financial incentives, leadership support, and recognition have a significant impact on the job. The results help organizations create strategies to cultivate a motivated staff, which boosts productivity and worker satisfaction. The dissertation also provides comprehensive and detailed implications for management. The results of the dissertation further provide suggestions for further research.

This study explores the effectiveness of social media among adults aged eight-een and above, focusing on its impact across four domains: communication and well-being, information sharing and dissemination, professional development and networking, and activism and civic engagement. This research uses a mixed-methods approach, integrating both quantitative surveys and qualitative interviews to explore social media usage patterns, benefits, and challenges. Findings indicate that social media increases communication through connection making and emotional support, despite the fact that some users suffer from negative effects such as anxiety and dependency. Social media are essential for information sharing, disseminating information fast and acquiring diverse per-spectives; however, miscommunication is a significant issue. Platforms like LinkedIn are important tools for professional networking and advancement in career; however, privacy issues limit participation. Social media also enables civic engagement and activism, giving users a voice to mobilize for social causes, though algorithmic biases and echo chambers constrain diverse participation. Social media offers both opportunities and challenges for personal and societal growth. Risks, of course, must be mitigated, but the recommendations do include fostering digital literacy, algorithmic transparency, better privacy protections, and responsible platform use. These insights are foundational in understanding social media's place in the modern adult's life and will form the basis of future research and policymaking.

Introduces and developed a novel computational approach for efficiently calculating the navigation of infinite multi-dimensional spaces using a improved algorithm named Bellande Step function within a infinite multi-dimensional model-integrated framework. By optimizing and advancing the step function, the method addresses challenges in infinite-dimensional random point generation and nearest node calculation in in an existing tree while moving from the nearest node towards a random point by a step size collision free, allowing movement towards target nodes within defined distance constraints to be added as node to the tree. Leveraging this type of approach, efficiently compute the next step towards a target node for infinite-dimensions, ensuring accurate movement while reducing collisions with adhering to specified distance limits set by the user. The integration of infinite dimensional space modeling enhances the process of the step function while increasing the capabilities, accuracy, adaptability, effectiveness and computational efficiency. The results underscore the robustness and scalability of this approach, showcasing its potential applications in robotics and other fields related to robotics, and complex systems modeling. This integration of the Bellande Step function with model-integrated infinite dimensional space represents a significant advancement in the computational efficiency, precision, accuracy of Infinite multi-dimensional node calculations.

In this article, fundamental aspects of geology and soil science will be studied through the development of a practical workshop aimed at applying the knowledge acquired in the course. This exercise seeks to have students consult, analyze, and integrate information from various reliable sources, thereby strengthening their research skills and understanding of the geological and edaphological environment of the Colombian territory. The content of the work is structured into five sections. First, the main rock dating methods will be addressed, which are essential for establishing the relative and absolute age of geological formations. Second, a mind map of the Geoportal of the Colombian Geological Service (SGC) will be presented, summarizing the key information offered by this institutional platform. Subsequently, the characteristics and distribution of two important soil types in Colombia—Andisols and Inceptisols—will be described, detailing their physical and chemical properties, as well as the regions of the country where they are predominantly found. Finally, a conceptual scheme based on the CORINE Land Cover methodology adapted for Colombia will be developed, showing the relationships among different land cover types present in the national territory. This academic exercise aims to reinforce critical analysis, the use of cartographic tools, and an integral understanding of the physical environment, which is essential for training in disciplines such as geology, civil engineering, and territorial planning.

Hemos desarrollado un enfoque combinatorio fundamentado en el Triángulo de Pascal para abordar el problema clásico de las sumas de potencias de números naturales. Este método se basa en tres secuencias clave derivadas del triángulo: los coeficientes binomiales, los números de Narayana y una variante de los coeficientes binomiales. A través de estas secuencias, hemos formulado tres estrategias sistemáticas: el Método Directo (M.D), el Método de Coeficientes (M.C) y el Análisis de Coeficientes (A.C), las cuales potencian tanto la aritmética como el reconocimiento de patrones numéricos, alcanzando resultados equivalentes a los obtenidos mediante enfoques puramente algebraicos, como las sumas telescópicas.