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A Case Study Exploring ESL Instructors’ Perspectives of Blended Learning in UAE Higher Education
(SpringerLink, 2024) Alawadhi, Azza
Recently, universities and colleges across the United Arab Emirates have been actively incorporating new learning technologies to facilitate blended learning pedagogy mandated by the Ministry of Higher Education during the COVID-19 crisis. Despite its popularity, blended learning is still a relatively new approach to learning across higher education in the UAE. This small-scale qualitative study seeks to gain insights into instructors’ perspectives of blended learning in an ESL program at a federal college in the UAE. Semi-structured interviews were used to identify the benefits and challenges perceived by instructors teaching in this context. The results revealed several key benefits, including increased flexibility, improved accessibility, and timely and continuous learning. However, instructors also reported increased academic workload, technical issues, and a lack of professional development as barriers. The findings offer recommendations, implications, and possible future directions for stakeholders and academics to inform future directives.
A Comprehensive Study on Empowering High School Students for Career Success in a Government School in Sharjah
(Springer Cham, 2025) Mona Abumady
This qualitative research examines the factors that influence career empowerment among high school students in a government institution in Sharjah, UAE. It evaluates the efficacy of existing career guidance programs, the extent of students’ awareness of career pathways, and the influence of educational institutions on their aspirations. The study proposes strategies to improve students’ career readiness by identifying challenges in current guidance practices and conducting document analysis, interviews, and focus groups. The significance of career counseling, skill development, and informed decision-making in enabling students to select suitable universities and prospective professions is underscored by the results. The research endeavors to offer policymakers, educators, and stakeholders actionable insights to enhance career guidance programs, thereby promoting more informed career choices and self-efficacy among students.
A Critical Analysis for the Assessments and Moderation Policy of a UAE Higher Education Institution
(Springer Cham, 2025) Abdulai Abukari; Razan Ashour
This paper represents a critical analysis of Assessment and Moderation Policy implemented in a UAE higher education institution. This critical analysis of the policy followed the SWOT analysis approach. It aimed to determine the effectiveness of the mentioned policy by analysing the policy horizontally. The paper employs a critical thinking discussion of the components, rational and strength areas of the policy to identify the key weaknesses and threats associated with it, drawing on the prior work experience and pertinent literature review. The policy shows the availability of strong components such as the alignment with accreditation standards, rubric implementation and documenting a blind marking process. However, an absence of clarity in selecting the moderation samples, and in formulating the rubrics results in inconsistent implementation across departments, compromise its reliability, and affects the uniformity of student evaluations. To enhance policy effectiveness, the paper recommends the development of comprehensive workshops on rubric creation, the adoption of stratified sampling for moderation, and the engagement of students in understanding assessment criteria. It emphasizes the importance of regular policy evaluation and adaptation based on faculty and student feedback. This critique aims to contribute to the discourse on educational policy evaluation by providing insights into the challenges and opportunities for enhancing assessment and moderation policies in higher education.
A Framework for Developing Information Requirements for Built Asset Management Based on Organisational Sustainability Objectives
(SpringerLink, 2024) Dong, Yujie; Collinge, William; Kirkham, Richard; Rahbarimanesh, Amir
Purpose- In recent years, digital transformation using Building Information Modelling (BIM) systems has reshaped asset management. This process involves systematically maintaining and improving assets throughout an organization's lifecycle, with a focus on sustainability objectives. However, the current asset management process often wastes time and resources searching for asset information. This research aims to create a BIM-based framework, address the disconnection between asset management models and key indicators of sustainability, and help achieve the organisation's sustainability objectives. Methodology- This paper explores the relationship between asset management and sustainability objectives, establishing an integrated framework from existing literature. A seven-step approach to developing information needs is also proposed. Findings- It was found that asset information requirements are often formed without a direct link to the organisational objectives they are intended to achieve or are difficult to detect adequately. Recognising the cyclical nature of asset management and BIM and generating a framework. Implications- The framework will help address the disconnection between design aspirations and key indicators of sustainability. Originality value- The framework aligns asset management with sustainability objectives and integrates with BIM for a unified asset management platform.
A Qualitative Study of the Impact of Currency on Socio-cultural Identity
(SpringerLink, 2024) Al Johani, Ateeq
The purpose of the current study was to investigate the relationship between currency and the socio-cultural identity of a people. The research sought to investigate the phenomenon by examining how a particular community considers currency as an important tenet of their identity. The methodology of the research was qualitative in nature considering its ethnographic premise – culture. To this extent, the research developed an interview schedule and used this to collect data from targeted participants on their perceptions regarding the impact of currency on their culture. The findings of the research were that currency is directly related to culture and strongly impacts the cultural identity of a people. The respondents to the interview agreed that the currency they use is a depiction of their culture and strength and they shared a lot of confidence on the currency as a cultural facet. The implications of the research including fostering the deeper understanding of the role of money in the socio-cultural setting as a multiplier of cultural identity and enthusiasm apart from the common attributes of money. The current study is original in nature in the sense that, while there are numerous researches already conducted about money and the society, the impact of the same in the socio-cultural domain remains unstudied. This qualitative research will highlight the gap and seek to cover it in a step to open up a new dimension of study of the subject of money and society.
A Systematic Review of Conversational AI Chatbots in Academic Advising
(SpringerLink, 2024) Assayed, Suha Khalil; Alkhatib, Manar; Shaalan, Khaled
Purpose – This paper aims to review several studies published between 2018 to 2022 about advising chatbots in schools and universities as well as evaluating the state-of-the-art machine learning models that are deployed into these models. Methodology – This paper follows the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA), it demonstrated the main phases of the systematic review, it starts with screening 128 articles and then including 11 articles for systematic review which focused on the current services of the advising chatbots in schools and universities, as well the artificial models that are embedded into the chatbots. Findings – Two main dimensions with other sub-dimensions are extracted from the 11 included studies as it shows the following: 1- Advising chatbots AI Architecture which includes other sub-dimensions on identifying the deep learning based chatbots, hybrid chatbots and other open-resources for customizing chatbots; 2- The goals of the advising chatbot as it includes both the admission advising and academic advising. Conclusion – Most of studies shows that advising chatbots are developed for admission and academic advising. Few researchers who study the chatbots in high schools, there is a lack of studies in developing chatbots for students advising in high schools. Limitations and future work – This study is constrained to review the studies from 2018–2022, and it is not exposed to the chatbots artifacts, even though, the human-chatbot interaction has an essential impact on students’ experiences. Future research should include the impact of chatbots interactive design and students’ experiences.
Addressing the Overheating Crisis and Its Socio-Economic Implications: A Case Study in London’s High-Risk Areas
(SpringerLink, 2024) Maliha, Azra
Purpose- The number of excess deaths in England and Wales during the second heatwave period in 2022 was the greatest it has been since 2018. Greater London is particularly at risk for indoor overheating due to the predicted increase in hot summers from 50–60% by 2050, which can have serious negative effects on the socio-economic state of the city. The purpose of this study is to assess and predict the risk of overheating in a residential apartment building in a high-risk London heatwave location. Methodology-This study uses computer simulation and on-site measurements to create a virtual model for IES VE dynamic thermal modelling and perform overheating assessment simulations in a London apartment complex using the CIBSE TM59 methodology. Findings- The percentage hours with exceeding temperature surpassed 50% above the standard threshold in the 2020s scenario, which increased two folds for the 2050s and 2080s. Moreover, the bedrooms’ operational temperatures are found to be terribly above the safety standard. Implications- The findings implicate examining the economic viability and effectiveness of various solutions in the future to prevent residential building overheating in London. Further investigation can be done by conducting in-depth experiments on the susceptibility of various floors to overheating. Originality/value- The paper offers novel insights into the overheating risk assessment in London, particularly focusing on households in high-risk areas. The study contributes to the conversation on sustainability practices and their socio-economic implications by highlighting the urgent need for retrofitting frameworks to promote sustainable building design and practices.
Advancing Interpretability in Sequential Models Through Generative AI Rationalization Using GPT-4
(Springer Cham, 2025) Mohammed Rasol Al Saidat; Khaled Shaalan; Suliman Yemria
In this study, we investigate the role of Generative Pre-trained Transformer 4 (GPT-4) in enhancing interpretability of sequential predictions in Natural Language Processing (NLP). Our study introduces a hybrid model that integrates traditional sequential prediction models with GPT-4, aiming to generate detailed, context-sensitive explanations for model outputs. This approach is rooted in the use of advanced transformer architectures and a specialized tokenization method that maintains semantic coherence, allowing for deep contextual analysis by GPT-4. Additionally, we devise a rationale generation algorithm that achieves a balance between succinctness and informativeness. Our experimental validation spans across various high-dimensional datasets, including financial time-series and multilingual texts, employing both qualitative and quantitative metrics to evaluate the model’s performance. These metrics focus on the plausibility and consistency of the rationales, as well as the model’s predictive accuracy. Preliminary results demonstrate that our approach not only enhances the accuracy of sequential predictions but also significantly improves their interpretability. This finding highlights the potential of generative AI to bridge the gap between complex AI decision-making processes. This research underscores the viability of employing generative AI to elucidate the underlying mechanisms of sequential prediction models, paving the way for more transparent AI systems.
AI-Powered Banking Assistants: Enhancing Customer Service with Technology
(Springer Cham, 2025) Omer Aftab Qureshi; Stephen Wilkins; Huda Iqbal
This research aimed to examine how the quality of chatbot services affects customer satisfaction in the banking sector. The research determined a sample size of twenty-five, which was deemed adequate to attain data saturation within a longitudinal time frame. This research used an exploratory, qualitative inductive approach and a non-probability, stratified purposeful sampling method based on age categories. From the collected data, twenty-seven themes and sub-themes were identified, leading to 7 overall dimensions. The research could be expanded to encompass diverse target markets, innovative strategies, alternative media channels, and additional countries. This research added value by extending TAM 2 model in terms of customer satisfaction and customer experience. The output of this research resulted in the creation of a conceptual framework that addressed present constraints while proposing opportunities for future research.
An Investigation of the Development and Implementation of Teacher's Licensing in Saudi Arabia Based on Local Stakeholders’ Perceptions, Compared with International and Regional Practices
(SpringerLink, 2024) Hameedadin, Amal Abdullah; Hill, Christopher
Saudi Arabia- is moving steadily toward Vision 2030. Accordingly, the Educational & Training Evaluation Commission (ETEC) has teamed up with the Ministry of Education in Saudi Arabia to update and raise the ‘Teacher Licensure Programme’ bar. Purpose- The study aimed to investigate the development and implementation of the 2019 teacher licensure program in Saudi Arabia. Methodology- The study adopted the exploratory sequential mixed method. The paper consisted of three stages. Initially, six policies were reviewed to compare international, regional, and local licensures. Second, the study collected quantitative data from 300 teachers from public schools through an online survey. The last stage collected qualitative data through a school leaders’ questionnaire. Findings- Stage one findings were linked to international and regional practices. A comparative study revealed a lack of career development at the college level and during in-service training in Saudi Arabia. Furthermore, there is a need for a standardized teacher evaluation system that includes constructive feedback and reflection. Based on stage two findings, teachers expressed negative views regarding the current licensing programme. In addition, stage three findings confirmed stage two results from the perspective of school leaders and policymakers. Implications- Educators should consider building long-life learners by aligning licensing standards with the exam and desired outcomes, ensuring stakeholders’ involvement, create a continuous PD program. Originality/value- This study filled a critical gap in the theoretical field of teacher licensing in the Gulf Region. Additionally, the research suggested a flexible framework based on the best practices and the perceptions and experiences of the stakeholders. The framework asserted that the licensing examination is one of a number of methods for evaluating teachers.
Analysing the State of Inclusive Education in China: Challenges and Perspectives
(Springer Cham, 2025) Zainab Merchant; Eman Gaad
The global focus on inclusive education has intensified, with countries working to ensure equal school access for all, including those with disabilities. China has made significant legislative advancements to support inclusive education in line with international standards. However, challenges remain in implementing inclusive practices and delivering quality education to children with special needs. This study analyses China’s inclusive education system, examining its policy framework, social and cultural context, historical evolution, and implementation challenges. It highlights the need for comprehensive reforms to address gaps and foster true inclusion. Key recommendations include ongoing monitoring, clear policy directives, increased family involvement, and enhanced teacher training. The study calls for a holistic approach to ensure social inclusion and equity, aiming to build a more inclusive society for individuals with disabilities in China.
Analysis of Savings and Investments in First Ten Years of Employment in Dubai
(SpringerLink, 2024) Dhoundiyal, Meenakshi; Pareek, Nishtha
It is crucial in the modern world to not only start thinking about savings and investing but also to act on it. For long term financial stability and growth, one needs to start saving and then carefully investing the savings in different investment avenues. Savings and investments are used interchangeably. But the fact is that both have different meanings with one common motive of safeguarding the future in terms of finance. This paper attempts to study the savings and investments outlined in the first ten years of employment in Dubai. Dubai has all possible investment avenues available, just like any other economy may have. The primary data were collected from 118 respondents, with 65 men and 53 women. It is found that most of the employees are aware of the savings and investments. Males are more aware and hence making more savings and investments as compared to females. It is also found that the majority of the employees save 10–20% of their earnings monthly. The purpose of saving is future security followed by safety and tax savings. Further research found a significant relationship between investment awareness and Gender and the relationship between educational qualification and selection of the investment avenues. Purpose: This study focuses on the savings and investment opportunities for the employees; further it will explore various factors that motivate employees to save and invest and factors that affect the investment behaviors of the employees. Methodology: Primary and secondary data sources were used for data collection. Primary data was collected from the targeted population who are in the first ten years of their employment in the UAE by using Google Forms. A probability sampling method was selected for this study. The research instrument was administered to 120 respondents out of which 118 were returned. 2 respondents could not return the form and hence the final sample size was 118, with 65 men and 53 women participating in the survey. Findings: A significant relationship between gender and investment awareness. Men are relatively more aware of the investment and savings avenues as compared to the women. Women are more driven to invest in gold as compared to their male counterparts. There is a positive relationship between level of education and awareness regarding saving and investment. Recommendations: Creating monthly and yearly budget is crucial for the financially safe future. Investments in liquid funds to have more flexibility can be considered in this age group. Consulting a financial advisor to make wise investment choices is recommended. Further research can be conducted on the gender-wise investment choices, investment choices at different age level from the early years of earning till retirement.
Artificial Intelligence for Sustainability Development in Healthcare
(SpringerLink, 2024) Sajwani, Rehab Anwar
Purpose - Digital technology is frequently employed in the healthcare sector to innovate and add value. This study examines AI-based technology implementation in the healthcare industry. The purpose of the study is to provide a review of publications on artificial intelligence (AI) and how it has enabled the healthcare sector to progress toward sustainable development goals (SDG). Methodology - The method is based on a systematic mapping review of 40 papers. It also contained relevant publications to this paper’s research questions for comparison. Findings - The paper emphasizes the significance of AI implementation in healthcare and further facilities’ implementation of SDG and health-related SDG and its evolving contribution to humanity for affordable global healthcare. Implications/limitation - The scope of this paper is limited to the time during submission of this paper and keywords specified in this paper’s research question. Originality/value - The paper will expand knowledge of AI to achieve sustainable development goals and health-related SDGs and further highlight research gaps to be addressed for healthcare improvement.
Beyond Taste: Investigating Indoor Air Quality in Sharjah’s Restaurants
(Springer Cham, 2025) Zinah Aldoori; Wael Sheta
Indoor Air Quality (IAQ) is crucial for customer satisfaction and well-being in restaurants but is often overlooked. As Sharjah becomes a global gastronomic hub, it is essential to address the complex issues of IAQ, which are linked to health, environmental, and climatic issues. International organizations like ASHRAE and WHO have enacted strict regulations and policies in order for improvement and maintenance of IAQ within the criteria of health and comfort. This study examines toxic air pollutants in a café setting to determine if they meet global requirements and standards. The majority of customers were satisfied with the staff’s service and saw no difference in their work rate, indicating a high standard of indoor air quality which satisfies the United Arab Emirates’ Indoor Air Quality standard.
Big Data Analytical Capability’s Role in Talent Management: Dynamic Capabilities’ Mediation in the Public Sector
(Springer Cham, 2025) Mansour Ahmed Helal Aldhaheri; Abdelmounaim Lahrech
This article explores the crucial role of big data analytical capabilities (BDAC) in enhancing competitive talent acquisition. It underscores big data as a vital resource akin to an organisation’s workforce, emphasising the necessity for skilled personnel to utilise big data effectively for quality benefits, distinguishing organisations both locally and globally. The study aims to clarify the relationship between BDAC and TA, investigating this through a framework that includes practical and scientific evidence to demonstrate how BDAC contributes to business value. A key concern addressed is the existing gap in how organisations harness big data to generate real value, with the study highlighting the ongoing challenges in optimising big data’s potential in business research. The article leverages environmental heterogeneity as a moderating variable, providing diverse perspectives on the relationship between big data and talent acquisition (Elia et al., Ind Mark Manag 1–16, 2020; Wamba et al., How ‘big data’ can make big impact: findings from a systematic review and a longitudinal case study Samuel Fosso Wamba, 2015). The research was conducted in Abu Dhabi, targeting government entities, and employs a quantitative survey design with 351 respondents to ensure valid results. The aim was to extract valuable insights through academic and experimental contributions, addressing the identified literature gaps and enhancing strategic decision-making concerning talent and dynamic capabilities in organisations (Chen et al., Manag Decis 57:5–18, 2019; Akter, Int J Prod Econ 182:113–131, 2016; Raguseo and Vitari, Int J Prod Res 2018).
BIM-Based Asset Management for Sustainability: A Systematic Review and Bibliometric Analysis
(Springer Cham, 2025) Yujie Dong; Amir Rahbarimanesh; Saeed Reza Mohandes; Richard Kirkham
This study presents a systematic literature review on adding sustainability elements into Building Information Modelling (BIM) to enhance sustainability in the asset management stage of a built asset’s life cycle. Focusing on environmental, economic, and social sustainability dimensions, the review uses bibliometric analysis and systematic content review to identify key advancements and research gaps. The findings reveal that while BIM effectively integrates environmental and economic factors, its application to social sustainability remains underdeveloped. The study underscores the need for a comprehensive framework encompassing all three sustainability dimensions. Additionally, it highlights opportunities to enhance BIM’s functionality by integrating emerging technologies like AI, IoT, and big data, which could enable predictive modelling and real-time sustainability analysis. However, their adoption within BIM practices is still limited. Key recommendations for future research include developing integrated sustainability models, improving stakeholder engagement, and establishing policy frameworks to encourage sustainable BIM practices. This review emphasizes BIM’s transformative role in sustainable asset management while identifying crucial areas for further development.
BUiD Newsletter 2019
(The British University in Dubai (BUiD), 2019) BUiD
BUiD Newsletter March 2021
(The British University in Dubai (BUiD), 2021) BUiD
BUiD Newsletter March 2022
(The British University in Dubai (BUiD), 2022-03) BUiD
BUiD Newsletter September 2021
(The British University in Dubai (BUiD), 2021-09) BUiD

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