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Restrictions in the Implementation of Total Quality Management in Jordanian Public Universities from the Perspective of their Employees: A Case Study of the University of Jordan
No full textThis study aimed to investigate the constraints facing total quality management at the University of Jordan, based on Goldratt’s Theory of Constraints. The study adopted a descriptive approach, utilizing a questionnaire administered to 276 administrative and faculty members of the University of Jordan. The results indicated that the main constraints to implementing total quality management in the university included a lack of ownership of modern technology, centralization in decision-making, insufficient attention to the outputs of the educational process, and a deficiency in the professional values of workers. Additionally, the study found no statistically significant differences at the significance level (α = 0.05) in the mean estimates of the constraints hindering the application of total quality management at the University of Jordan, according to the perspectives of administrators and faculty members. These differences were not influenced by variables such as gender, age, experience, or career level. Based on these findings, the study recommended addressing the identified constraints that may impede the implementation of total quality management at the University of Jordan and encouraged further research in this area
The Effectiveness of the Constructivist Learning Model in the Academic Achievement of Regular Students and Students with Learning Difficulties in Mathematics in Inclusive Basic Schools in Amman
No full textThe current study aimed to evaluate the effectiveness of the Constructivist Learning Model in the achievement of fourth-grade students with and without learning disabilities in mathematics in inclusive Jordanian basic schools in Amman. To answer the research questions, the researchers employed a quasi-experimental design, utilizing pre- and post-achievement tests along with the teacher\u27s guide to collect data. Data analysis was conducted using the t-test, one-way ANOVA, and Scheffé post-hoc test. The results indicated that the constructivist theory is effective in teaching both students with and without learning disabilities in the fourth grade in inclusive Jordanian basic schools. Additionally, there were no statistically significant differences in achievement between the two groups. The study concludes with recommended applications and suggestions for future research
Procedural Parliamentary Immunity in Jordanian Legislation
No full textParliamentary immunity is a fundamental provision of parliamentary action, aimed at protecting members while exercising their duties from political authority intimidation to ensure their independence. Parliamentary immunity is divided into two types: irresponsibility, which protects members from prosecution for acts carried out in the course of their mandate and prevents their dismissal from office; and procedural immunity, which concerns activities outside of their mandate. Procedural immunity subjects members to potential dismissal and prosecution, but any coercive measure taken against a member requires the lifting of immunity by parliament members. This study focuses on procedural parliamentary immunity and will be structured around two topics: the first discusses the nature and scope of procedural parliamentary immunity, and the second examines the effects of procedural parliamentary immunity and cases where it may be lifted
The Degree of Employing Electronic Administration by School Principals within the Green Line from their Point of View
No full textThe study aimed to assess the degree of implementation of electronic administration by school principals within the Green Line from the perspectives of the principals themselves. The sample consisted of 170 principals from government schools affiliated with the Directorate of Education for the North District within the Green Line. The study relied on a descriptive survey methodology, and a questionnaire was used to collect the necessary data to achieve the study’s objectives. The results indicated that the participants rated their implementation of electronic administration as high. There were no statistically significant differences at the level of α=0.05 between the averages of their ratings based on variables such as gender, years of experience, and educational stage. However, there were significant statistical differences at the same significance level due to the variable of qualification, with those holding higher certificates demonstrating higher degrees of implementation in electronic administration
The Impact of Custom on Defining the Essence of Possession and its Applications in Banking Institution Transactions
No full textThis research is divided into three main sections. The first section addresses the concept of custom, its authority, and the conditions necessary for its recognition. The second section explores the concept of possession, its methods, and its effects on contracts. The third section examines the impact of custom on defining the essence of possession and its applications in the transactions of Islamic banking institutions. The study aims to investigate how the concept of possession is constructed based on prevailing customs and to apply this understanding to various practices conducted by Islamic banking institutions. This includes verifying the presence of relevant customs and confirming the occurrence of possession and its legal implications in accordance with those customs. The research concludes that there are transactions in which possession is valid and established through recognized customs, with their legal effects accordingly fulfilled. However, some transactions require further juristic and academic scrutiny aligned with established legal principles and should be reviewed by the Sharia supervisory boards overseeing these institutions. The study includes a conclusion and indexes to facilitate access to its contents, seeking Allah’s acceptance and guidance
Harnessing AI and IoT for Advancing Sustainable Development Methods
No full textThe integration of Artificial Intelligence (AI) and the Internet of Things (IoT) offer transformative potential for advancing sustainable development, aligning with the United Nations’ 2030 Agenda for Sustainable Development. This study conducts a systematic literature review (SLR) of 72 peer-reviewed studies (2019–2025) to explore innovative models, methods, and applications of AI-IoT in promoting sustainability. Grounded in systems theory, socio-technical systems, and sustainability science, the findings highlight prevalent models, such as smart cities and precision agriculture, as well as advanced methods like machine learning and edge AI, with applications across energy, agriculture, healthcare, transportation, and water management. Key outcomes include 15–25% efficiency gains in renewable energy and up to 30% reductions in water usage. However, challenges such as data privacy, algorithmic bias, and digital divide, coupled with an urban bias in applications, underscore the need for ethical and inclusive approaches. Research gaps, including the limited availability of longitudinal studies and underrepresentation in rural areas, point to future directions such as green AI frameworks and standardized protocols. This article offers actionable recommendations for policymakers, practitioners, and researchers to promote equitable and sustainable AI-IoT solutions, thereby contributing to the global pursuit of the Sustainable Development Goals.
يُتيح دمج الذكاء الاصطناعي وإنترنت الأشياء إمكانيات تحويلية لتعزيز التنمية المستدامة، بما يتماشى مع خطة الأمم المتحدة للتنمية المستدامة 2030. تُجري هذه الدراسة مراجعة منهجية للأدبيات (SLR) لـ 72 دراسة مُحكّمة (2019-2025) لاستكشاف نماذج وأساليب وتطبيقات مبتكرة للذكاء الاصطناعي وإنترنت الأشياء في تعزيز الاستدامة. وتستند النتائج إلى نظرية النظم، والأنظمة الاجتماعية والتقنية، وعلوم الاستدامة، وتُسلّط الضوء على نماذج شائعة مثل المدن الذكية والزراعة الدقيقة، وأساليب متقدمة مثل التعلم الآلي والذكاء الاصطناعي الطرفي، وتطبيقات في قطاعات الطاقة والزراعة والرعاية الصحية والنقل وإدارة المياه. وتشمل النتائج الرئيسية تحقيق مكاسب في كفاءة الطاقة المتجددة تتراوح بين 15% و25%، وخفض استهلاك المياه بنسبة تصل إلى 30%. ومع ذلك، فإن تحديات مثل خصوصية البيانات، والتحيز الخوارزمي، والفجوة الرقمية، إلى جانب التحيز الحضري في التطبيقات، تُبرز الحاجة إلى مناهج أخلاقية وشاملة. وتشير الفجوات البحثية، بما في ذلك محدودية الدراسات الطولية وضعف تمثيل المناطق الريفية، إلى توجهات مستقبلية مثل أطر الذكاء الاصطناعي الأخضر والبروتوكولات الموحدة. تقدم هذه المقالة توصيات عملية لصانعي السياسات والممارسين والباحثين لتعزيز حلول الذكاء الاصطناعي وإنترنت الأشياء العادلة والمستدامة، مما يُسهم في السعي العالمي لتحقيق أهداف التنمية المستدام
Flexural Behavior of Sustainable Concrete Beams Containing Waste Tire Fibers and Recycled Aggregates
No full textThe increasing accumulation of diverse waste materials poses a significant societal challenge, highlighting the importance of developing methods to reuse such waste effectively. One promising solution involves incorporating recycled coarse aggregate (RCA) obtained from demolished concrete into new concrete mixtures. Additionally, tire-derived fibers (TDF), sourced from recycled tires, present an environmentally friendly substitute for conventional reinforcement materials. The integration of RCA with TDF in reinforced concrete beams offers a sustainable approach to enhancing structural performance. This experimental study investigates the flexural performance of reinforced concrete beams containing recycled coarse aggregate (RCA) and tire-derived fibers (TDF). Four mixes with varying RCA (0%, 25%) and TDF (0%, 0.75%, 1.5%) were tested. Four full scale beams were tested in flexural. Results show that replacing 25% of natural aggregate with RCA maintains strength and structural performance, while adding TDF improves flexural strength, mechanical properties, ductility, and load capacit
A Spatial Multi-Criteria Decision-Support Model for Planning Land Use Allocation A Case of Neighborhood Urban Park Site Selection
No full text- This paper examines the crucial role of GIS capabilities in spatial multi-criteria decision-making modeling for enhancing land use allocation in Ajman City, UAE, amidst the challenges posed by rapid population growth and unplanned urbanization. As urban areas face increasing pressure from informal housing and sprawl, GIS emerges as a critical tool for informed decision-making and sustainable development. By integrating GIS with the Analytic Hierarchy Process (AHP), this study aims to optimize the selection of neighborhood park sites, address spatial issues, and promote sustainable land use practices. Utilizing a mixed-methods approach that combines spatial data analysis and Expert-Based engagement, the research discusses the benefits of GIS and AHP Capabilities in dealing with spatial variables for better decision-making rather than mandating manual analysis. Through surveys and interviews, the Paper gathers comprehensive data on site selection criteria. A pilot study demonstrates GIS\u27s capability in spatial-temporal analysis, highlighting its advantages over conventional methods in addressing the challenges of urban development needs and spatial consideration of land use allocation. The findings reveal the current limitations of the Ajman Municipality\u27s existing systems and underscore the transformative potential of GIS in optimizing site selection, visualizing accessibility, and promoting community well-being. While acknowledging limitations such as potential biases and the time-intensive nature of fieldwork, the research advocates for a paradigm shift in urban planning through the integration of GIS, which enhances resource management and collaboration among public agencies. It emphasizes the importance of sustainability and community welfare. The findings offer valuable insights into urban planning and land use allocation, providing actionable recommendations for policymakers and planners. They highlight the potential of GIS to enhance urban livability and sustainable growth in Ajman City
The role of artificial intelligence in changing the traditional design form of children\u27s museums: Towards integrating artificial intelligence technologies in architectural design education.
No full textChildren\u27s museums are crucial for their educational and entertainment value, but they also need to adapt to technological advancements to maintain their appeal, especially for older children. The design of these museums should vary between permanent and mobile spaces to maximize their benefits in different areas. Interactive exhibits in children\u27s museums can bridge the gap between traditional and modern education, appealing to a wider age range, and adapting to changing educational needs in different communities by offering a mix of permanent and mobile museums.
Artificial intelligence (AI) is revolutionizing the design process by enhancing efficiency and creativity. It helps architects find solutions, envision spaces, and find the best solutions. This is particularly relevant in the future design of children\u27s museums. AI can analyze vast amounts of data and generate design options quickly, allowing architects to explore a wider range of possibilities. By incorporating AI into the design process, architects can push the boundaries of creativity and create more efficient and sustainable buildings for future generations. This digital transformation and AI have revolutionized the field of architecture.
Digital transformation has transformed architecture into smart projects, using AI to enhance functionality and aesthetics. AI can analyze data to optimize building performance and energy efficiency, leading to more environmentally friendly structures. Integrating digital tools and AI in architectural design courses can benefit students by providing necessary experience, improving design output, keeping them competitive, and preparing them for the evolving technological landscape
Interference Management for Device-to-Device Communications in Heterogeneous Cellular Networks using Deep Reinforcement LearningDevice-to-device communication; mmWave communication; spectrum resource allocation; deep reinforcement learning; HCNs
No full textIntegrating Device-to-Device (D2D) communication into Heterogeneous Cellular Networks (HCNs) augmented with Millimeter Wave (mmWave) technology presents a compelling approach to fulfill the escalating demands for ultra-high data throughput in next-generation wireless systems. Although these advancements significantly improve data transmission efficiency and network scalability, the coexistence of D2D and cellular users within a shared spectral environment triggers considerable interference, complicating network coordination. To mitigate this, the interference scenario is modeled as a unified optimization task involving mode selection and resource allocation, aiming to enhance the aggregate system throughput while adhering to strict SINR constraints for both communication tiers. To tackle this non-trivial problem, a decentralized multi-agent Deep Reinforcement Learning (DRL) framework is proposed, with a reward structure meticulously tailored to reflect the global system objective. Additionally, to streamline computational processes, a shared-policy learning approach enables D2D agents to make informed decisions based on selectively observed historical training data. Comparative simulation assessments reveal that the proposed DRL strategy outperforms conventional schemes in maximizing the system sum rate