Effat University Institutional Repository
Not a member yet
1865 research outputs found
Sort by
FabLab as an Innovative Educational Approach in Higher Education
No full textThis chapter explores the concept of FabLabs as a transformative educational approach in higher education, tracing their origins to Professor Neil Gershenfeld's vision at MIT in 2001. FabLabs, or fabrication laboratories, serve as community-driven workshops equipped with digital fabrication tools that empower users to design and create physical objects from digital files. The rise of FabLabs in academic settings responds to the demand for institutions to prepare students with essential skills for the 21st-century workforce.
By emphasizing project-based and interdisciplinary learning, FabLabs enable students to translate theoretical insights into practical solutions for real-world challenges, embodying constructionist educational principles. The chapter discusses how FabLabs foster a culture of innovation and entrepreneurship, encouraging collaboration and the development of novel ideas and prototypes in a maker-centric environment.
Through a comprehensive examination of the theoretical foundations, pedagogical strategies, and implementation considerations for integrating FabLabs into higher education, the chapter highlights their numerous benefits, potential challenges, and best practices for successful application in academic contexts.This chapter explores FabLabs as an innovative educational approach in higher education, originating from Professor Neil Gershenfeld's vision at MIT in 2001. FabLabs, or fabrication laboratories, are community-driven workshops that provide access to digital fabrication tools, enabling users to design and create physical objects from digital files. Their emergence in higher education is driven by the need for institutions to equip students with skills for the 21st-century workforce. By facilitating project-based, interdisciplinary learning, FabLabs allow students to apply theoretical knowledge to real-world challenges, embodying the principles of constructionism. Moreover, they cultivate a culture of innovation and entrepreneurship, inspiring novel ideas and prototypes in a collaborative, maker-centric environment. This chapter comprehensively examines the theoretical foundations, pedagogical strategies, and implementation considerations necessary for the successful integration of FabLabs, highlighting their benefits, challenges, and best practices in higher education settings.N
Slavery Before Race: The Racialization of Slavery in Morrison’s A Mercy and Albeshr’s Hend and the Soldiers
No full textThe book is in the process of publication.Slavery existed in the Arabian Peninsula long before it emerged in the USA; it is depicted in both African-American and Middle-Eastern novels . The works of the African American novelist Toni Morrison and the Saudi writer Badriah Albeshr depict slavery and racism in both contexts. Morrison’s A Mercy (2008) pictures the origins of the slave trade in America in the seventeenth century, whereas Albeshr’s Hend and the Soldiers (2006), written in Arabic and translated into English by Sanna Dhahir in 2017, portrays the abolition of slavery in Saudi Arabia in 1962. The former shows that anyone can be in bondage irrespective of their race and circumstances, while the latter demonstrates that slavery is linked to race and results in numerous kinds of compulsion. A Mercy and Hend and the Soldiers show how “race and races are products of social thought and relations . . . [and that] races are categories that society invents, manipulates, or retires when convenient” (Delgado et al. 9). I argue that the comparison of these two narratives can reveal that race is a socially constructed category, shaped by economic, social, and ideological factors; it is not a fixed biological reality
Exploring the smart fitness integrated chair : The future of health-focused furniture design
No full textThe smart fitness integrated chair will be a great enhancement and advancement in the furniture industry, blending it with the comfort and utility of traditional seating, this chair will help fix the problems humans face such as sitting duration in a concerning position, back and neck pain, and body movements. This study aims to solve human body health by creating this smart chair that is interactive with the user by its e!ectiveness in improving posture, increasing physical activity, and enhancing overall wellness. This study’s significance will help fill in the gaps that are found in the market by following some methods that will enhance human life, focusing on Sustainable Development Goals (SDGs) and Saudi Arabia’s Vision 2023. This smart fitness integrated chair will be a solution for enhancing physical and well-being in human lifestyles, marking it a significant step forward in the evolution of the furniture industry. The purpose of this research is to investigate how machine learning, virtual reality, and artificial intelligence (AI) are used in healthcare and what e!ects they have. The project specifically aims to investigate how these technologies can improve overall healthcare delivery, optimize resource allocation, tailor treatment methods, and increase diagnostic accuracy. Examining case studies, literature, and technology advancements in AI in the healthcare industry are all part of the data-collecting process. Analyses, both qualitative and quantitative, are carried out to assess how these technologies a!ect di!erent facets of healthcare delivery. This intelligent integration of exercise components into a chair is a significant step in improving physical well-being in human lifestyles. By tackling the ergonomic issues inherent in typical seating arrangements, the smart fitness integrated chair emerges as a solution-oriented approach, representing a significant step forward in the growth of the furniture sector. Through this investigation, the researchers want to provide significant insights that will inform and drive the continued evolution of healthcare procedures. Multiple benefits will be provided if fitness and technology are integrated into furniture, and these benefits will be listed in this research through the coming phases
Assessing Chinese–Egyptian bilateral trade dynamics under the One Belt One Road initiative: augmented gravity model approach
No full textPurpose This research paper investigates the economic impact of China’s One Belt, One Road (OBOR) initiative on its historical trade partner, Egypt, within a landscape shaped by global interconnectedness. Design/methodology/approach The paper employs an augmented gravity model with a random-effects estimator and robust standard errors to analyze the impact of the OBOR initiative on China–Egypt bilateral trade from 1960 to 2022. Findings The findings reveal a significant increase in trade volume following the implementation of OBOR. The model confirms the continued importance of gross domestic product (GDP) and geographic proximity in facilitating trade. Additionally, the research highlights Egypt’s strategic positioning within the OBOR due to its location and existing infrastructure, such as the Suez Canal. Practical implications These results offer valuable insights for policymakers and stakeholders seeking to optimize bilateral trade strategies and strengthen economic cooperation under the OBOR framework. Originality/value This study contributes to the existing literature by providing a fresh perspective on the impact of OBOR, employing a robust econometric approach and focusing on a specific yet crucial regional trade relationship
Examining the Nexus Between FinTech and Financial Disclosure of the Banking Sector in Jordan
No full textzThe relationship among the Jordan’s banking sector level of the Financial
disclosure (FD) and Financial technology (FinTech), and it will be considered to
be the main objective of this study. In Jordan, 217 banking managers receive standardized surveys and these will arise with the quantitative approach of this study.
Utilizing Structural Equation Modeling (SEM), the FD and FinTech were analyzed.
In Jordan’s banking sector, the adoption of FinTech has major impacts on the FD,
this will be determined by the outcomes of this study. According to the outcomes, the
application of FinTech enhances the comprehensiveness, timeliness, accuracy, and
transparency of their financial reports in Jordanian banks Stakeholders depends on
the current and reliable financial data in creating the DM (Decision Making) process
including investors, regulators, and consumers and these advantages are essential. In
Jordan banking sector, the application of FinTech has a positive impact on the FD as it
was offered by the present study. For enhancing the financial reporting’s transparency
and accountability, the significance of advancing technologies are focused on this
study. Finally, it also enhances the bank sector’s reliability and efficiency. Jordanian
provides the perspectives in the FD field due to the uniqueness of this research and
relatively little attention was offered to the FinTech
A multivariate examination of critical success factors for education finance in Somalia
No full textThis study examines the critical factors of education finance and its impact on education finance performance via a comprehensive analysis of the Education Finance Performance Index (EFPI) in the context of Somalia. The research employs multiple regression analysis to investigate the relationships among Government Recognition and Commitment (GRC), Financial Resource Management (FRM), Governance and Accountability (GA), and Human Capital Development (HCD). The results reveal that these factors collectively account for a significant proportion of the variance in the EFPI scores, highlighting their influential roles. GRC emerges as a crucial determinant, emphasizing the pivotal role of governmental dedication in fostering an environment conducive to educational excellence. FRM and the GA also have notable impacts, highlighting the importance of efficient resource allocation and transparent decision-making. HCD underscores the value of investing in educators’ skills and motivation. The findings emphasize the need for strategic policies that prioritize government commitment, efficient financial management, transparent governance, and investment in human capital. These insights offer valuable guidance for educational policymakers and practitioners seeking to enhance educational finance practices and overall system performance. Ultimately, this study serves to bridge the gap between theoretical frameworks and practical applications, offering empirical insights within the knowledge domain
The Accreditation as an Evolutionary and Developmental Process in Higher Education: Transforming Academic Strategic Visions to Social Impact
No full textThis chapter examines the evolution of accreditation as a dynamic and developmental process in higher education, emphasizing its transformative role in aligning academic goals with societal needs. It refers to the importance of education for individual and societal development, explaining the increasing complexity of higher education in a rapidly changing global context. The chapter also highlights the historical evolution from implicit quality assurance practices to formalized accreditation standards that enable innovation, inclusivity, and responsiveness. It makes a deep analysis of accreditation standards and examines how accreditation integrates in the current period social responsibility, technological adaptation, and interdisciplinary approaches. The benefits of accreditation are highlighted for various stakeholders, including students, institutions, and society, while addressing key challenges like resource constraints, the integration of AI, and the need for international cooperation.This chapter examines the evolution of accreditation as a dynamic and developmental process in higher education, emphasizing its transformative role in aligning academic goals with societal needs. It refers to the importance of education for individual and societal development, explaining the increasing complexity of higher education in a rapidly changing global context. The chapter also highlights the historical evolution from implicit quality assurance practices to formalized accreditation standards that enable innovation, inclusivity, and responsiveness. It makes a deep analysis of accreditation standards and examines how accreditation integrates in the current period social responsibility, technological adaptation, and interdisciplinary approaches. The benefits of accreditation are highlighted for various stakeholders, including students, institutions, and society, while addressing key challenges like resource constraints, the integration of AI, and the need for international cooperation
DIGITAL RISK AND FINANCIAL INCLUSION: BALANCE BETWEEN INNOVATION AND PROTECTING DIGITAL BANKING SAUDI CUSTOMERS
No full textImpact of Input Sequence Types on Healthcare Intrusion Prediction Models
No full textPrediction models are vital for sensing zero-day and even n-day cyberattacks, particularly in healthcare infrastructure. Most existing research focuses on developing classifiers also known as IDS to enhance detection and accuracy. However, predictive intrusion models for healthcare remain underexplored, with limited studies investigating the comparative performance of univariate and multivariate inputs against single-step and multi-step outputs in time series models. This study aims to address these gaps by evaluating the accuracy and error performance of selected predictive models across various input and output configurations. The methodology involves transforming input data sequences into univariate 1∗ n and multivariate m ∗ n formats, establishing single-step and multi-step splitting functions, and evaluating these configurations using the benchmark CIRA-CIC-DoHBrw-2020 dataset. Algorithms including Bidirectional LSTM, Stacked LSTM, Vanilla LSTM, Transformer Encoder-Decoder, Vector Output LSTM (GRU core), and CNN were applied, with results visualized to assess performance. The findings reveal that the Multivariate LSTM model, when trained on a sequence of multivariate inputs, demonstrates superior predictive performance, achieving low MAE error rates of 0.4% for single-step predictions and 0.1% for multi-step predictions. Additionally, GRU and Transformer models exhibit heightened sensitivity to specific input sequence configurations. In conclusion, our study demonstrates that Transformer Encoder-Decoder based prediction models exhibit exceptional prediction performance. This effectiveness is attributed to their ability to capture contextual and critical information from input sequences. These findings provide valuable insights for designing advanced intrusion prediction models, paving the way for improved prediction capabilities in future systems.
Author Keywords
Intrusion prediction model
intrusion detection system (IDS)
multivariate
univariate
data visualization
machine learning in cybersecurity
intrusion prediction in healthcareEffat Universit
Leveraging Distributed Deep Learning Techniques for Fine-grained Aspect Sentiment Analysis in MOOC Learners' Reviews
No full textDeveloping comprehensive analytics for Massive Open Online Courses (MOOCs) is essential for improving course design and enhancing learner engagement. In this work, we introduce MOOCSense, a multi-stage sentiment analysis module designed to analyze MOOC learner reviews and contribute to generating detailed MOOC analytics. In the first stage, we employ a mapping algorithm that extracts key MOOC-specific terms and central semantic phrases from the reviews. In the second stage, we propose a novel Centroid-Based Learning approach combined with the BERT (CLB) model to capture both implicit and explicit sentiment polarity in learner reviews, leveraging BERT’s deep contextual understanding of natural language. By focusing on the central semantics of each review, our approach uncovers the emotional drivers behind learner engagement or dissatisfaction. This dual-stage module enables more accurate sentiment association with specific course aspects, enriching MOOC analytics with valuable insights. Experimental results demonstrate the effectiveness of our approach across various MOOC datasets, achieving an accuracy of 92%, making it a promising solution for generating in-depth learning analytics and supporting course improvement strategies