Dissertations for IT Management (ITM)

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21st Century Warfare: How Information Technology Has Fundamentally Changed Global Warfare - An Analysis of Insurgencies’ Use of IT
(The British University in Dubai (BUiD), 2018-11) FIKRI, MOHAMMAD NADER MOHAMMAD ABDULLAH
This paper utilizes a qualitative approach to provide a case study analysis of the rising use of technology by insurgents. Examining the literature and making a comparative analysis of the trends of recent years allowed the researcher to come to the conclusion of the rising necessity of cybersecurity in contemporary warfare. A quantitative approach in such a case would have been limited due to the lack of reliable statistics available as well as the more sterile nature of results it would provide. The 21st century has seen a change in the type of warfare waged globally. Whereas the 20th century was characterized by decolonization and states warring against one another, the 21st century has witnessed a shift in global warfare where non-state actors such as radical groups are gaining momentum and causing significant mayhem. The accessibility of radical groups to wage war on a global level has been exacerbated in recent years by the widespread usage of information technology on an individual level and the resulting compression of time and space. Both these factors, the rise of non-state actors and the usage of information technology, has disrupted the way global warfare is waged. This dissertation focuses on examining the ways in which global security in the 21st century has changed due to insurgents’ access to information technology. By focusing heavily on the available literature and findings conducted of the insurgents in Iraq and Syria, this research aims to provide recommendations on the ways in which governments must now reassess their security needs by taking into account the changes in 21st century information technology. Information technology is a double-edged sword; the abuse of it by the wrong hands can cause global chaos, however, it is also a fundamentally important tool in the counterterrorism effort as well. As technology continues to advance and as social networks and IT equipment become more accessible to individuals, a major portion of global antiterrorism efforts will shift to the digital sphere. After reviewing the findings from literature and references of insurgents’ usage of IT, it became clear that social media was a catalyst for the rapid spread of their ideology and propaganda. Social media networks were used both to brainwash the public and recruit new members. Government websites and databases were hacked by cyberattacks and sensitive information made public. These findings from the literature review conducted; demonstrated that they had a well developed, deeply-strategized IT and media strategy and that when they emerged globally seemingly overnight, the world was taken aback and governments were unprepared with how to deal with their digital prowess. This has brought to light the importance of a globally concerted effort to give cyberterrorism the importance it deserves in counterterrorism efforts.
Application of Machine Learning Algorithms to Enhance Money Laundering and Financial Crime Detection
(The British University in Dubai (BUiD), 2011-09) HAMDALLAH, KHALID WAJIH TURKI; Professor Sherief Abdallah
The underlying idea of this thesis is to understand the current challenges and difficulties that financial institutions face with regards to the prevention and detection of financial crime and suspicious activities in relation to fraud, money laundering and terrorist financing. It sheds light upon contemporary developments in financial crime activities and the anti-money laundering regulations, policies and frameworks that have been set in order to address this issue and overcome the associated challenges and difficulties. The collection of information in relation to financial crime activities alongside adopted existing regulations would facilitate the identification of the weaknesses and flaws that constitute the areas for enhancement. The investigation process follows the scientific method approach and hence starts with a background (introduction) of financial crime history and its types including fraud, money laundering, market manipulation, insider trading which might be used to finance terrorist activities. The literature review would cover the details and particulars of each type of financial crime such as money laundering, fraud, market manipulation and insider training. It would also cover the current methodologies and technologies used to prevent and detect financial crime and suspicious financial activities. The background overview serves as pillars to support the research aim, objectives and questions. In order to analyze the performance of machine learning algorithms, data was provided by a bank to be used for educational purposes and shall remain undisclosed. The data was used as training and testing sets to analyze certain machine learning algorithms in terms of performance (cost / benefit analysis) and accuracy (mean error square and confusion matrix). The research is concluded with a conclusion section which recapitulates the results obtained and observations with regards to the current detection mechanisms and the applied machine learning algorithms. The recommendation section emphasizes the steps that can be taken and improvements to the existing methodologies and tools used in the prevention and detection of financial crimes.
Are healthcare organizations in the developing countries ready for the information-driven healthcare? A case study in the Arabian Gulf
(The British University in Dubai (BUiD), 2015-07) Mahmoud, Mohamed Fahmy
It’s not a secret that the healthcare industry is in transition. Countries worldwide are striving to achieve healthcare system reform to provide more affordable and better care for individuals and population. Additionally, to reduce waste and overall health care expenditure over the time. It’s become a must to have more coordinated, patient-centered and more efficient care delivery systems. Therefore, it is required to have industry consolidation by merging all entities involved in healthcare (e.g., patients, healthcare providers, payers, pharmacies, and laboratories) to form more integrated health systems. Healthcare systems that facilitate the accessing and sharing of health information, as well as to allow subsequent analysis of health data. Information technology plays a central role in achieving efficiencies and enhancing care delivery to meet these multi-faceted demands. This can be achieved by facilitating the flow of patient data throughout an expanding community of care, while also securing the information and rigorously protecting patient privacy. Integrated health systems can be achieved through a range of information technologies such as electronic health records and other clinical applications, data repositories, analytic tools, telehealth and connected biomedical devices. Most importantly, those solutions must rest on a foundation of technology, data and security standards that ensures confidentiality of personal health information. The dissertation will provide an integrated roadmap of the current and rapid changes in healthcare that are occurring in the advanced world. Then will apply this roadmap to the current status of healthcare system in a developing country to highlight the opportunities and risks.
Automatic keyword extraction from a real estate classifieds data set
(The British University in Dubai (BUiD), 2011-11) Devassy, Dibin
In this age where information and internet technologies are developing at a radical pace, users have the access to large amount of documents and information online. With the increasing amount of information, it also becomes an area of interest on how to make online search easier. Keywords are considered to be a solution to this problem and are now widely used to search the information over the internet.In this project we analyze a real estate classifieds data set, with an objective to find keywords that represent this data set. We begin with designing data cleansing algorithms to verify different attributes of the real estate classified. Further, we progress to extract the candidate keywords from the cleansed data set. Finally, we develop a method to automatically extract the keywords and also the key phrases that are formed along with the keywords.
Business intelligence implementation challenges in telecommunication industry
(The British University in Dubai (BUiD), 2009-12) Abushsban, Osama Mohammed Houda
Business Transformation and the Strategic Role of IT in Enabling Business Process Redesign
(The British University in Dubai (BUiD), 2011-12) Al Meer Mohamed, Wafa
The forces of market demand and requirements are unstoppable and unanticipated. A strong rivalry between companies and the increased level of quality services using technology advances put pressures on companies to transform to reach the rapid pace of change in the economy. Structuring supply chain by any means for example, building a solid logistics to serve customer around the world or integrating supply chain activities with 3rd parties or logistics service provider is a signification business transformation that required rethinking of business processes. It encourages organizations to redesign its business processes to add value to enhance and create more efficient business processes, through utilizing IT in enabling business process changes.Abu Dhabi Polymers Limited Company – Borouge - was studied as a case to examine the research paper question of business transformation and role of IT in enabling business processes changes. The research paper found that during Borouge’s business transformation a lot of intersections occur among people, processes, technology and data. Managing the overlap of these four elements is important to be analyzed and resolved to reduce its negative impact on the success of any given business transformation. Borouge’s employees found to be functional driven rather than process driven because they depended on IT systems and IT team in designing business processes rather than embracing business process logic, which promote less efficient business processes due to misalignment among different functions specially when using IT systems.The problems in business processes in Borouge advocate the need for business process redesign project to review Borouge’s business processes to add value, eliminate problems within the business processes and establish clear objectives and set of metrics to evaluate the effectiveness of business processes. Managing the conflicts between people, business processes, technology and data will ensure a good level of harmonization during business transformation which would optimize IT to establish efficient and integrated business processes to assist Borouge to compete strongly and globally.The research paper will present introduction of the research project, literature review on the topic, research methodology, and information about the studied organization, data analysis, discussion and conclusion.
Challenges of deploying one-to-one Laptop Initiative in United Arab Emirates High Schools
(The British University in Dubai (BUiD), 2015-12) Alkasih, Chaza I.
One of the most recent educational technology that contributes to the improvement of the educational system in UAE high schools is one-to-one laptop initiative. The predicted results of this research were to determine the one-to-one laptop initiative challenges encountered, and to what extent it affects teachers and students at DAT government school in UAE. The case study focuses on two challenges: professional development and technical support assistance. Research conducted qualitative and quantitative approaches to answer two-research questions. The approaches include teachers and students’ online questionnaires, grade 10, 11 and 12 students’ marks observation and interviews with teachers and students when needed. Research results revealed that professional development presence is important in such technology deployment as it has a huge impact on teachers’ preparation level, which affect students’ performance and outcome in classroom. Moreover, technical support assistance involvement is essential to ensure the success of one-to-one laptop deployment and to gain the maximum benefit for the sake of teaching and learning processes in the school. The research findings suggest more studies that need to be conducted in type of training workshops that serve the exact teaching requirement and more details on technical support specifications that school should have to adopt any new education technology in the future.
The contribution of computer software programmes to improving teaching processes for childrenwith down's syndrome: A study of special education centers in the United Arab Emirates
(The British University in Dubai (BUiD), 2010-01) Ammar Al Ghafry, Hamama Hamdan
Technology has always been considered as an empowering tool to guide learners during their studies. However, mentally challenged kids diagnosed with Down‟s syndrome do not always have the same opportunity to use technology and its products as compared to regular children. This study aims to develop new mechanisms that will aid children with Down‟s syndrome to gain basic knowledge by using computer software packages such as Microsoft Paint. The research methods of this study were designed to examine the application of computer software packages in teaching children with Down‟s syndrome. A mixed methods approach was used in this study. A triangulation of the two research methods was utilised. For the quantitative part of the dissertation, a cross-sectional research design using a questionnaire survey was implemented while key-informant interviews were used for the qualitative method. Spearman's rank order correlation coefficient and content analysis were the two main quantitative methods used to analyse the data gathered.The parents and teachers comprised the population involved in this study since they are the ones with firsthand experience in using computer software packages for teaching children with Down‟s syndrome. The results of the study demonstrate that effective use of computer software packages in special education facilities requires a joint effort between parents and teachers.
A Cross-Sectional Study about a Health Information System (HIS) in the United Arab Emirates Federal Healthcare Organization (UAE FHO)
(The British University in Dubai (BUiD), 2014-03) Abdool, Shaikha Abdulkarim
As healthcare organizations world-wide competing to provide the ultimate care as easy as possible to its customers, IT technologies have been embraced in delivering healthcare in various ways, such as: in diagnosing diseases, treatment and for research and planning purposes. Health information system (HIS) is part of IT technologies that most if not all healthcare organizations globally are moving toward implement it. Because of that a cross-sectional study was conducted about health information system (HIS) in the United Arab Emirates (UAE) Federal Health Organization. The aims of this research were to identify the current status of the health information system (HIS) in the UAE Federal Health Organization (UAE FHO) and how health information system (HIS) can help in re-designing patients’ care pathway as well as improving health outcomes. Another aim of this research was to identify the challenges faced in this system with possible solutions to overcome these challenges. Mainly, quantitative method was utilized to conduct the study. The response rate in this study was high and the results were overall positive. The study met its aims and covered the targeted research questions related to HIS. Two hypotheses were tested related to patients’ care pathway and health outcomes.
Customer Acceptance and Bank Employee Perceptions of Internet Banking
(The British University in Dubai (BUiD), 2009-12) Aminzadeh, Arezoo
The purpose of this research is to attain an in-depth understanding of the bank managers’ and employees’ perception of internet banking and investigate factors influencing customer adoption of internet banking (IB) and customer retention in the context of IB. Secondary research was conducted to gain an in-depth understanding of the issues and generate a model and hypotheses for achieving the aim of the research. Two distinct types of questionnaires for bank employees and customers were prepared, also questions were provided for interviews conducted with managers. Three banks were selected as case studies and sites for conducting the quantitative survey. Questionnaires were distributed through emails or hard copies. The collected data were analysed using SPSS software to test the hypotheses.The results show that usage of IB has significant impacts on the bank’s efficiency and effectiveness, market effects and profitability. Factors such as Demographic Characteristics (age, gender, and educational level), User Factors (customer knowledge, accessibility to the internet and prior experience with the internet) and User Perception of Usefulness (time saving and control) are influential in customer adoption of internet banking and factors including User Perception of Usefulness (cost saving and control), Customer Service Quality (responsiveness) and Online Information Quality (simplicity of use and navigation) have positive relationships with user satisfaction.Unlike many other research studies which focus on whether to identify the factors influencing customer adoption of IB or customer satisfaction, this study combines and investigate both and moreover investigates the relation between the influential factors and customer retention and loyalty to IB. Results show that user satisfaction is influential in user loyalty to the usage of IB. Furthermore it evaluates the bank employees’ and managers’perceptions of IB. According to the results, they perceive IB useful, efficient and effective,profitable, increasing customer satisfaction and market effects, reducing overall cost and no security issues.Findings from this study provides insights for the banks in Dubai by identifying the significant IB drivers, understanding key attributes for customer satisfaction and user loyalty to IB and recommendations to enhance the IB system to increase the number of online subscribers, motivate the users to utilize the IB in performing their transactions and retain the current users in order to reduce the overall cost of the bank, increase the volume of the sale,maintain good image in the market, sustain their competitive position in the market and increase the bank profitability.
Decision Making Based on Data Analysis Involving Different Stakeholders in Secondary Public and Private Schools of Dubai
(The British University in Dubai, 2017-10) AL-AZZAM, BAYAN AHMAD
Data has beneficial impacts on teachers’ and schools’ performance, hence, it a customary matter for schools since the past time to collect data from a variety of sources. The core of this research is to assess the extent of data availability, its use in decision-making process and assess the decision-making process’s participatory. Other core is to assess the stimulating and hindering factors that affect decision makers’ use of data in Dubai’s public and private secondary schools. Therefore, the study included research objectives, research questions, corresponding hypotheses and a literature review that offers a broad spectrum of definitions included. However, number of different authors' related literature were reviewed under the research problem title. The research was organised as the following; the descriptive research design, using survey method and interviews, data were collected by questionnaire and interview instruments and the main participants were teachers, school leaders (principals, vice principals, department heads) and supervisors. The participants of this study survey were 120 (110 teachers and 10 department heads). In addition, 10 participants in meetings (4 principals, 3 vice principals and 3 supervisors) from 10 different secondary schools. One hundred and ten were retrieved from the survey and used for the study. SPSS was used for analysing the survey. While the research questions depended on data collection in order to bring up answers. The four hypotheses statistically tested by T- test Statistics for independent samples on 0.05 level of significance. Thereafter, the study recommended the following: (a) schools should conduct training programs about data use skills for their staff. (b) develop their data system to promote the education quality. (c) schools should enforce students and parent’s participation as it may promote decision making and implementation processes. (d) school heads should encourage students and teachers to be innovative and share in the improvement process.
Developing a framework for network security behavior integrated with the organization data management system to predict the threats
(The British University in Dubai (BUiD), 2022-03) ISMAIL, HANI ABDELHADI ABDULLAH
Network security management becomes an essential task in all organizations to protect their information and communication. It became more critical, especially after the COVID 19 Pandemic, as most businesses and industries have moved to use more online technologies. This study aims to develop a framework for analyzing network security behavior integrated with the current data management system and to predict the threats for administrator remedial actions by using Machine-Learning techniques The primary objective of the study is to automatically provide an optimum set of rules that are summarized and generalized across various security devices for professionals to configure the best security solution with minimum configuration efforts. This is experimental analysis research method depends on collecting information from network security data flow based on selected events that matched with the actual organization's security rules and policies with a dataset of 123029 records collected from log files of the standard security system. Moreover, a framework is designed based on the network security events, including the threats prediction, which can be used to take proper actions by using the artificial intelligence method. The result of the studied framework showed that KNN and random forest models performed better with the precision of 91.84% and 91.48%, respectively, compared to the other models of SVM, decision tree, and Naïve Bayes. The future work of the study is to enhance the prediction of unknown threats and apply the model in the real world to establish a security baseline for similar organizations.
Developing a framework for using face recognition in transit payment transactions
(The British University in Dubai (BUiD), 2021-11) HABEH, ORABI MOHAMMAD ABDULLAH
Nowadays, significant number of people relays on public transportation to commute to their final distention due to the increase of the private cars cost, traffic jam, toll gates, high petrol charges and other factors, which create a huge pressure on the public transportion infrastructure in general and the fare collection system in specific. Therefore, transit operators are continuously keen to identify different solutions to reduce that pressure and improve the travel experience by upgrading its fare collection system to the advanced state-of-the-art account based ticketing system in order to achieve better flexibility to offer smooth and convenient payment options for the passengers to choose. On the other hand, a tremendous advancement has been noticed in the human face detection and recognition technology which mainly used to authenticate and identify person face from a group of people through detecting a unique feature of the face and ignore the background image then compare the outcomes with the registered faces in the database to identify the person. This dissertation proposes a framework which aims to offer face recognition technology as a new payment option inside metro station. The proposed framework involves the hardware, software, algorithms, and system specification requirements. Further, it provides a detailed end-to-end systems integration and transaction flow between the account-based ticketing, face recognition, and banking systems. It’s worth to mention that the proposed framework is built based on the outcomes of three dimensions, including a systematic literature review, users’ surveys, and experts’ surveys. 84% of the users expecting an improvement to their travel experience if the face recognition access offered. In addition, the experts supported the users’ survey results by claiming the optimum technical feasibility to implement the face recognition access inside metro station. The framework offers two state-of-the-art solutions. The first solution is proposed based on integrating the existing surveillance camera systems with the recommended “Banking Payment Context- Account Based Ticketing System” to offer face recognition access entry to the passenger inside metro station. A number of combined algorithms and classifiers are proposed to use in this solution based on the encouraging outcomes observed from the systematic literature review and experts’ survey, including Local Binary Pattern descriptor, Haar-Like Descriptor, Ada Boost, Cascade classifiers, Affine Transformation, Histogram Equalization, Gaussian Filter, Principal Component Analysis which are embedded in OpenCV or MATLAB application. The argued face recognition accuracy between 98%-99.2% and average processing time including metro gate opening time ranges between 1114-1400 milliseconds. This solution considers an effective cost-based solution. The second solution is proposed based on implementing a dedicated full HD face recognition stereo camera system on top of each metro gate and integrate it with the recommended “Banking Payment Context- Account Based Ticketing System” by using the MFcoface face recognition method which results from the systematic literature review and experts’ outcomes. The argued face recognition accuracy ranges between 99.3%-100% and average processing time including metro gate opening time ranges between 200-400 milliseconds. This solution considers an efficient performance-based solution.
Developing and Implementing Knowledge Management in project-based government organization: A Case study
(The British University in Dubai (BUiD), 2011-11) Al Harthi, Manar Mohammed
The purpose of this dissertation is to examine the case study of GOV, a project based, small size, government organization and its development and implementation of Knowledge Management to gain competitive advantage and maintain its valuable explicit and tacit knowledge.The dissertation provides a roadmap to developing and implementing Knowledge Management in any organizations using a variety of recommended tools and methodologies including a Knowledge Audit which compromises of knowledge needs analysis, knowledge inventory analysis and knowledge flow analysis. It also discusses how a codification strategy was prioritized for GOV using the results from the Knowledge Audit and a comprehensive SWOT Analysis of GOV’s business internal and external factors.The finding from this dissertation provide evidence that the specific characteristics of GOV and its clear understanding of its business needs have a great influence on how Knowledge Management should be developed and implemented. That is evident through the formulated Knowledge Management Strategy and its set of strategic initiatives and projects that would be implemented on duration of 5 years The conclusions drawn from this study are that although Knowledge Management is a new business concept that lacks solid frameworks and implementation methodologies, organizations can begin the first steps towards its implementation through the analysis its knowledge needs and the alignment of findings to their objectives and overall strategy. Further recommendations to the dissertation include measuring the success of the Knowledge Management implementation of GOV, and revisiting the Knowledge Audit to compare the results and identify the effectiveness of the strategic initiatives and projects
The Development And Significance Of Business Intelligence (BI) Platforms In Facilitating The Decision-Making Process In Dubai Government Entities
(The British University in Dubai (BUiD), 2022-05) ALMHEIRI, ABDULLA OBAID MOHAMMED
Business Intelligence (BI) technologies provide a flexible platform for businesses to properly store, process, analyse and report data and processes. The use of BI technologies in handling critical data and facilitating data-driven decision making (DDD) has been realised by many literature studies. However, its application and benefits for the Dubai government entities for effective data management and decision making have not been investigated before. Thus, the current study has focused on analysing the significance of BI platforms in improving the decision-making process in the Dubai Statistics Center (DSC), a governmental entity in Dubai. Using secondary research design, the study determined factors that impact the decision-making process in Dubai government entities. Furthermore, the significance of using the BI platform for decision-making is established in the light of academic and empirical evidence. A BI platform using ArcGIS software is also developed demonstrating the visual and realistic application of interactive data in decision-making regarding different aspects of DSC such as population, marriages, education, etc. The recommendations are provided retarding the effective use of BI platforms in DSC and other government entities in Dubai. The current study will contribute to knowledge and practice to promote the use of BI platforms in making effective decisions. Future work includes integration with Artificial Intelligence (AI) for the AI-based BI platforms which would allow the translation of theoretical solutions into actionable tasks.
Digital Transformation in Public Transportation: Investigate the impact of Digital Transformation in Public Transportation Business Model in UAE on Public Transportation Customer Relationship
(The British University in Dubai (BUiD), 2021-11) THEKRALLAH, FIRAS FATHI
Digital transformation become a major need, and for many businesses it’s not optional to speed up their digital transformation because of all the uncertainty about the future such as COVID-19 pandemic. Government agencies can enhance services, save money and the same time improve the quality of resident’s life by digitizing processes and making organizational changes, also many government entities have discovered that the digital transformation of a government is difficult however, it is extremely lucrative for residents and government officials. The United Arab Emirates is one of the most developed countries in the middle east and north africa for citizen-centric online public services, as multiple digital government strategies had been introduced such as the fourth industrial revolution strategy, the artificial intelligence strategy, the national innovation strategy, and the emirates blockchain strategy 2021, moreover UAE government achieved major digital accomplishments in a variety of fields, including education, health, cybersecurity, digital government, and smart cities. The aim of this research is to identify the impact of digital transformation of public transportation business model on customer relationship using a quantitative research methodology by utilizing a quantitative survey for collecting numerical data. Results indicates that there is a moderately positive association between the digital transformation of public transportation business model on customer relationship.
An Early Detection System for Incomplete Application in Master’s Degree program at University level
(The British University in Dubai (BUiD), 2016-06) Sankar, Manju Vishnu
Selecting a university to pursue higher education is a very difficult and expensive decision that a student can make. A lot of research into student decision-making in this area has been conducted, but the work has been focusing mostly on students’ dropout rate after registrations or before completion of the course using surveys, general market trend and also based on other existing research work on this area. This paper address the major issue of student incomplete application rate that is faced by a higher education institute based in Dubai. By analyzing the past year student dropout records from the university database, this research intends to build a Incomplete Application Prediction Model (IAPM) and in turn come up with a strategy that can help university to achieve application completion rate. Early identification of these incomplete applications is as important or in this case can be considered more important than student marketing from the university point of view as retaining prospective students who already applied are easier if detected early as details of the students are already available. Moreover in the university for which the study is undertaken, records show an alarming rate of around 16.25% student incomplete applications after enrolling which urges the need for this study. Various data classification techniques as well as association rules were applied on all the attributes and also on selective attributes that were obtained from the university’s original database for research purpose. An Incomplete Application Prediction Model is developed from these techniques to aid student retention for master’s degree courses in a specific university. This model can be further customized for other universities in the region if needed. The results were positive and indicated that past incomplete students’ records can be a valuable resource for mining the near accurate reason for students’ incomplete application, which in turn can give the management a clear insight for proactive solving of such issues in future intake. Data visualization in Weka offered interesting insights on these data also. By focusing on antecedents of incomplete students’ records, colleges can restructure their strategies for a better student-supportive system. Smaller sample size and the self-explicated data are some limitations of this research work.
Education Data Mining to Predict Student Exam Grades in Vocational Institutes
(The British University in Dubai (BUiD), 2015-12) Saleh, Ashjan Ahmad
Data Mining (Data Knowledge Discovery) is the practice of examining large pre-existing databases in order to identify patterns, establishing relationships, and to generate new understandable and useful information. Educational Data Mining (EDM) is a new emergent field that concerns about applying data mining methods and algorithms on data residing in educational system repositories. It can be used in the purpose of discovering valuable knowledge such as learning environment, students’ performance, dropout, and even students at more risk. In this thesis, classification modeling will be used as a data mining technique to predict students’ performance in the theoretical exam (Final Test) for computer science (CS) course. The analysis shows that the best prediction accuracy is obtained when CART classification algorithm is used as a classifier. The analysis also shows that certain student assessments are ineffective in predicting the student performance in the final exam. Our analysis also shows certain student features such as the gender the campus are good predictors to student performance.
Effective Introduction and Adoption of Advanced Technology in Dubai Private Schools
(The British University in Dubai (BUiD), 2013-04) Olatunde, Raji Mubarak
Education the world over has seen widespread, intensive introduction of advanced technology within it. Governments of some countries have spent billions of dollars and have continued spending huge amount of resources towards the use of advanced technology (AT) in educational institutions. AT resources now play a significant role in almost all spheres of educational institutions ranging from the kindergarten, high schools to the universities. Just as technology has turned around businesses and organisations, making them more profitable and competitive, schools have been seen to be a prospective environment in introducing technology. In this research, a look at the reasons why governments, institutions and stakeholders in the educational sector are clamouring for the use of advanced technologies at places of learning, reasons why schools use AT is explored. AT in schools should not be only about resources or money spent, but rather the way and manner employed by schools in making best use of these resources in bringing out positive results in students. The research focuses on the reasons why schools use AT and the challenges experienced while using it. How AT can be effectively used, the benefit derived from it and major barriers to effective adoption of AT in school is researched. This research takes an empirical exploration of AT use is some five private secondary schools in the of Emirate of Dubai - UAE. An extensive exploration of previous scholarly work on AT use in education as well as an in-depth case study research of some selected private schools in Dubai was done. From the literature, factors found to enable effective use of AT in schools, such as availability of resources, onsite technical assistance, support of management and so forth were found. Findings from this research suggest that teachers’ continuous professional development such as AT user groups, frequent training of teachers, as well as providing immediate support both technical and pedagogical to teachers play a significant role in ensuring effective AT use in schools. When different subjects are interwoven such that they are all linked to one another also encourages teachers to use AT. Availability of resources and time to incorporate technology into teaching is required as well for effective AT adoption. Further research focusing on teachers, which explores teachers’ use, problems and challenges they encounter while using AT should be done. This should provide a balanced insight especially if the findings are added to those of this research, in order to draw up a comprehensive understanding on how AT can be effectively adopted in schools.
The effects of mobile apps on autistic students in UAE
(The British University in Dubai (BUiD), 2015-05) Khashan, Basma Younis Abou
Children with autism are individuals who are facing difficulties in the social and communication skills. There are many researches that explored the use of information technology in the interventions of autistic students. One of the recent technologies that was shown to be effective is mobile apps. This case study investigates the use of a mobile app (called Picaa) that provides five main activities (association, puzzle, exploration, memory and sorting). All these activities can be personalized and adapted by the educator to be ready for each child. The study was conducted in Sharjah autism centre in UAE over a period of four months on five students with autism. The effectiveness of the app was measured over five main skills. We while the app significantly improved the skills of most children we studied, we identify practical challenges that were faced by therapists while using the app. We propose a set of recommendations that target the Arab world.

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