BSpace
The British University in Dubai (BUiD) Digital Repository
Welcome to BSpace, the online institutional repository of the British University in Dubai. BSpace provides access to the Dissertations, Thesis, Research projects, Faculty publications and archives of BUiD.
Submit your dissertation/thesis by completing the registration using your BUiD email.
Review the submission guidelines before you submit the final version
Communities in BSpace
Select a community to browse its collections.
- This community includes the articles, book chapters, conference and working papers published by BUiD staff members.
- This community includes the Theses and Dissertations submitted by Faculty of Business and Law students
- This community includes the Theses and Dissertations submitted by Faculty of Education students
- This community includes the Theses and Dissertations submitted by Faculty of Engineering and IT students
- The Journal is run by the Faculty of Education, The British University in Dubai (BUiD).
- This community includes the Newsletters published by the BUiD library
- This community includes the BUiD conference papers, newsletters and magazines.
Recent Submissions
An Integrated Model for Metaverse Adoption in Higher Education Institutions: A Structural Equation Modelling and Artificial Neural Network Approach
(The British University in Dubai (BUiD), 2024-06) MAGHAYDAH, SAFWAN SULEIMAN MGHIED; Dr Piyush Maheshwari
Information and Communication Technology (ICT) is experiencing a significant shift with the advent of the Metaverse, merging physical reality with a virtual world via virtual and augmented reality headsets. This development promises to revolutionize traditional online interactions, offering new educational opportunities through enhanced collaboration, communication, and immersive learning environments. The interest of Higher Education Institutions (HEIs) in the United Arab Emirates (UAE) in the Metaverse is notably high, attributed to its potential to transform education. However, research on the factors influencing Metaverse adoption in the UAE remains scarce, which limits the educational sector's progress and the effective utilization of Metaverse technology for educational purposes. This study aims to identify the determinants affecting the adoption of Metaverse technology within UAE's HEIs by proposing an integrative model that merges the Unified Theory of Acceptance and Use of Technology (UTAUT2) with Task-Technology Fit (TTF) and Protection Motivation Theory (PMT) elements. The study focuses on the adoption behavior of students towards Metaverse technology in UAE's higher education setting. A conceptual model was developed to test 14 hypotheses and address the research questions, fulfilling the study's main objective. Three research objectives were formulated based on this model, with subsequent sections providing results and explanations. Data were gathered from 760 undergraduate and postgraduate students’ responses from different universities in the UAE. Hypothesis testing revealed significant influences of performance expectancy, effort expectancy, social influence, facilitating conditions, hedonic motivations, price value, task characteristics, technology characteristics, task technology fit, response efficacy, self-efficacy, and perceived vulnerability on Metaverse adoption, with only response costs and perceived severity not supported. The ANN analysis, conducted to avoid overfitting and to analyze nonlinear correlations, showed the superiority of ANN predictions over traditional regression methods, indicating high levels of precision and reliability of the ANN models. Sensitivity analysis highlighted technology characteristics as the most significant predictor of task-technology fit. In addition, performance expectancy is the most significant predictor of students' Metaverse adoption behavior, followed by self-efficacy, while perceived vulnerability had the least impact. This comprehensive analysis contributes significantly to understanding the factors influencing Metaverse adoption in HEIs, offering insights for policymakers and practitioners in integrating Metaverse technology into educational infrastructure.
Towards Sustainable Low-Embodied-Carbon Concrete Alternatives
(The British University in Dubai (BUiD), 2024-06) AIDEH, MAJD RASMI AHMAD; Professor Bassam Abu-Hijleh
This paper evaluates the benefits of using environmentally sustainable low-embodied carbon alternatives to traditional concrete, as the concrete industry is responsible for significant global greenhouse gas emissions due to its environmental impact. This research conducts a comprehensive analysis to identify the environmental effects of alternative materials compared to Ordinary Portland Concrete. It specifically focuses on the amount of carbon dioxide (CO2) and carbon dioxide equivalent (CO2-Eqv) emissions associated with different concrete compressive strength grade classifications. The analysis includes a comparison of normalized carbon emissions data across a wide range of papers and reporting formats using the unit of kilograms of carbon per megapascal (MPa).
The paper discusses the impact of the compressive strength grade, the type of alternative material, and the quantity of replacement. The findings indicate that replacing Ordinary Portland Concrete with alternatives such as Ground Granulated Blast Furnace Slag (GGBS), Fly Ash (FA), and Alkali-Activated materials (AA) results in enhanced efficiency by reducing the carbon footprint. Using the type of (GGBS) gives a superior reduction at most of the selected compressive strength grades. The carbon emissions vary based on the replacement of Ordinary Portland Cement (OPC) with alternative materials during the production of concrete. Therefore, it is crucial to thoroughly assess the selection of combinations for each specific concrete grade to achieve positive environmental results in comparison to (OPC).
The Role of Artificial Intelligence Technologies in Activating Educational Administration in the United Arab Emirates: An Applied Study on Private Schools in the Emirate of Sharjah
(The British University in Dubai (BUiD), 2024-11) SHDOOH, MOHAMMAD YOUSEF MOHAMMAD; DrTendi Charles
This study examines the role of artificial intelligence (AI) in enhancing educational administration within private schools in Sharjah, UAE. Recognising the gap between the potential benefits of AI and its actual implementation, the study utilises a mixed-methods approach, incorporating data from a survey of 108 teachers and administrators, and a comprehensive review of relevant literature. The analysis focuses on the impact of AI on data analysis and decision support, resource management, administrative efficiency, and leadership practices. The findings reveal a significant positive correlation between AI implementation and improved administrative efficiency, particularly in areas such as student performance data analysis and decision-making accuracy. However, challenges related to infrastructure, resources, and ethical considerations, including data privacy and potential bias, are acknowledged as potential barriers to effective AI adoption. The study advocates for the continued integration of AI in Sharjah's private schools while emphasising the importance of addressing these challenges to fully realise AI's transformative potential in creating a more data-driven and efficient educational system.
The Impact of AI on Decision-Making in Educational Management: Benefits, Risks, and Ethical Concerns
(The British University in Dubai (BUiD), 2024-11) JA’AROUN, WAED YOUSEF; Dr Tendai Charles
The integration of artificial intelligence (AI) in educational management is rapidly transforming decision-making processes within schools and institutions. This dissertation explores the impact of AI on decision-making in educational management, focusing on the benefits, risks, and ethical concerns associated with its use. AI technologies offer significant advantages, such as data-driven insights, improved efficiency, and enhanced predictive capabilities, which can support educational leaders in making more informed decisions. However, the adoption of AI also presents challenges, including potential biases in algorithms, privacy concerns, and the risk of an over-reliance on automated systems. Furthermore, ethical considerations such as fairness, transparency, and accountability are critical in ensuring that AI-driven decisions do not exacerbate inequalities or compromise the integrity of educational institutions. This study aims to provide a comprehensive analysis of the role of AI in educational decision-making, offering insights into both its potential benefits and the associated risks. By examining real-world applications and theoretical frameworks, the research contributes to the ongoing discourse on how AI can be ethically and effectively integrated into educational management.
The Impact of School Leadership Support on Teacher Retention: A Study among School Leaders and Teachers from a Private School in Sharjah
(The British University in Dubai (BUiD), 2024-03) ISMAIL, SAMIH MOHAMMAD MOUSA; Dr David, Solomon
The dissertation delves into the pivotal challenge of teacher retention in private schools, spotlighting the influence of leadership practices on educators' decisions to remain. At its core, the investigation seeks to unravel how leadership within a private school setting in Sharjah impacts the stability of its teaching workforce. This inquiry is anchored by the main research question, which explores the role that leadership practices play in teacher retention in a private school in Sharjah. Drawing on a foundation of key theories and seminal studies in the realms of leadership styles, motivational frameworks, and teacher satisfaction, the dissertation crafts a comprehensive review of the existing literature. These theoretical underpinnings guide the investigation, offering insights into the dynamics between school leadership and teacher retention. Employing a mixed-methods approach, the study harnesses both quantitative data from surveys and qualitative insights from interviews with teachers. This methodology enables a nuanced understanding of the teachers' perceptions and experiences with leadership practices within their school environment. The investigation unveils that leadership qualities such as supportive gestures, recognition of efforts, and the provision of professional development opportunities play a significant role in teachers' decisions to stay. These findings underscore the importance of nurturing a positive work environment and the critical role school leaders play in fostering a sense of commitment among teachers. Acknowledging its limitations, including a constrained sample size and response rate, the study proposes avenues for future research. It suggests that further exploration into educational leadership and teacher satisfaction across more diverse and extensive educational