| data infrastructure for academic performance solution: The Impact of School Infrastructure on Learning Peter Barrett, Alberto Treves, Tigran Shmis, Diego Ambasz, 2019-02-04 'The Impact of School Infrastructure on Learning: A Synthesis of the Evidence provides an excellent literature review of the resources that explore the areas of focus for improved student learning, particularly the aspiration for “accessible, well-built, child-centered, synergetic and fully realized learning environments.†? Written in a style which is both clear and accessible, it is a practical reference for senior government officials and professionals involved in the planning and design of educational facilities, as well as for educators and school leaders. --Yuri Belfali, Head of Division, Early Childhood and Schools, OECD Directorate for Education and Skills This is an important and welcome addition to the surprisingly small, evidence base on the impacts of school infrastructure given the capital investment involved. It will provide policy makers, practitioners, and those who are about to commission a new build with an important and comprehensive point of reference. The emphasis on safe and healthy spaces for teaching and learning is particularly welcome. --Harry Daniels, Professor of Education, Department of Education, Oxford University, UK This report offers a useful library of recent research to support the, connection between facility quality and student outcomes. At the same time, it also points to the unmet need for research to provide verifiable and reliable information on this connection. With such evidence, decisionmakers will be better positioned to accurately balance the allocation of limited resources among the multiple competing dimensions of school policy, including the construction and maintenance of the school facility. --David Lever, K-12 Facility Planner, Former Executive Director of the Interagency Committee on School Construction, Maryland Many planners and designers are seeking a succinct body of research defining both the issues surrounding the global planning of facilities as well as the educational outcomes based on the quality of the space provided. The authors have finally brought that body of evidence together in this well-structured report. The case for better educational facilities is clearly defined and resources are succinctly identified to stimulate the dialogue to come. We should all join this conversation to further the process of globally enhancing learning-environment quality! --David Schrader, AIA, Educational Facility Planner and Designer, Former Chairman of the Board of Directors, Association for Learning Environments (A4LE) |
| data infrastructure for academic performance solution: Recent Advances in Data and Algorithms for e-Government Christophe Gaie, Mayuri Mehta, 2023-03-01 This book presents new trends to optimize e-Government in various contexts. It aims to highlight new methods and approaches that unveil the potential of data for public services. The book also illustrates how public services can be mathematically modeled with many case studies. Then, algorithms are proposed to optimize their functioning and to better contribute to the general interest, such as education, health care, safety, security, or culture. The book also focuses on protecting citizens' personal data and obtaining their explicit consent. The book is suitable for students and academics aiming to build up their background on the usage of data and algorithms through various techniques, including artificial intelligence. The book is used as a reference book for teaching a graduate course on e-Government, Process Modeling, or Artificial Intelligence. Besides its use in academia, this book is used by civil servants of every domain and citizens who aim to understand the ongoing modernization of public services. |
| data infrastructure for academic performance solution: The Datafication of Education Juliane Jarke, Andreas Breiter, 2020-05-21 This book attends to the transformation of processes and practices in education, relating to its increasing digitisation and datafication. The introduction of new means to measure, capture, describe and represent social life in numbers has not only transformed the ways in which teaching and learning are organised, but also the ways in which future generations (will) construct reality with and through data. Contributions consider data practices that span across different countries, educational fields and governance levels, ranging from early childhood education, to schools, universities, educational technology providers, to educational policy making and governance. The book demonstrates how digital data not only support decision making, but also fundamentally change the organisation of learning and teaching, and how these transformation processes can have partly ambivalent consequences, such as new possibilities for participation, but also the monitoring and emergence/manifestation of inequalities. Focusing on how data can drive decision making in education and learning, this book will be of interest to those studying both educational technology and educational policy making. The chapters in this book were originally published in Learning, Media and Technology. Chapter 4 of this book is freely available as a downloadable Open Access PDF at http://www.taylorfrancis.com under a Creative Commons Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND) 4.0 license. |
| data infrastructure for academic performance solution: Building Cloud Data Platforms Solutions Anouar BEN ZAHRA, Building Cloud Data Platforms Solutions: An End-to-End Guide for Designing, Implementing, and Managing Robust Data Solutions in the Cloud comprehensively covers a wide range of topics related to building data platforms in the cloud. This book provides a deep exploration of the essential concepts, strategies, and best practices involved in designing, implementing, and managing end-to-end data solutions. The book begins by introducing the fundamental principles and benefits of cloud computing, with a specific focus on its impact on data management and analytics. It covers various cloud services and architectures, enabling readers to understand the foundation upon which cloud data platforms are built. Next, the book dives into key considerations for building cloud data solutions, aligning business needs with cloud data strategies, and ensuring scalability, security, and compliance. It explores the process of data ingestion, discussing various techniques for acquiring and ingesting data from different sources into the cloud platform. The book then delves into data storage and management in the cloud. It covers different storage options, such as data lakes and data warehouses, and discusses strategies for organizing and optimizing data storage to facilitate efficient data processing and analytics. It also addresses data governance, data quality, and data integration techniques to ensure data integrity and consistency across the platform. A significant portion of the book is dedicated to data processing and analytics in the cloud. It explores modern data processing frameworks and technologies, such as Apache Spark and serverless computing, and provides practical guidance on implementing scalable and efficient data processing pipelines. The book also covers advanced analytics techniques, including machine learning and AI, and demonstrates how these can be integrated into the data platform to unlock valuable insights. Furthermore, the book addresses an aspects of data platform monitoring, security, and performance optimization. It explores techniques for monitoring data pipelines, ensuring data security, and optimizing performance to meet the demands of real-time data processing and analytics. Throughout the book, real-world examples, case studies, and best practices are provided to illustrate the concepts discussed. This helps readers apply the knowledge gained to their own data platform projects. |
| data infrastructure for academic performance solution: Radical Solutions and Learning Analytics Daniel Burgos, 2020-05-08 Learning Analytics become the key for Personalised Learning and Teaching thanks to the storage, categorisation and smart retrieval of Big Data. Thousands of user data can be tracked online via Learning Management Systems, instant messaging channels, social networks and other ways of communication. Always with the explicit authorisation from the end user, being a student, a teacher, a manager or a persona in a different role, an instructional designer can design a way to produce a practical dashboard that helps him improve that very user’s performance, interaction, motivation or just grading. This book provides a thorough approach on how education, as such, from teaching to learning through management, is improved by a smart analysis of available data, making visible and useful behaviours, predictions and patterns that are hinder to the regular eye without the process of massive data. |
| data infrastructure for academic performance solution: The SAGE Handbook of Digital Society William Housley, Adam Edwards, Roser Beneito-Montagut, Richard Fitzgerald, 2022-11-23 This SAGE Handbook brings together cutting edge social scientific research and theoretical insight into the emerging contours of digital society. Chapters explore the relationship between digitisation, social organisation and social transformation at both the macro and micro level, making this a valuable resource for postgraduate students and academics conducting research across the social sciences. The topics covered are impressively far-ranging and timely, including machine learning, social media, surveillance, misinformation, digital labour, and beyond. This innovative Handbook perfectly captures the state of the art of a field which is rapidly gaining cross-disciplinary interest and global importance, and establishes a thematic framework for future teaching and research. Part 1: Theorising Digital Societies Part 2: Researching Digital Societies Part 3: Sociotechnical Systems and Disruptive Technologies in Action Part 4: Digital Society and New Social Dilemmas Part 5: Governance and Regulation Part 6: Digital Futures |
| data infrastructure for academic performance solution: Educational Philosophy and Sociological Foundation of Education Hans, Emmanuel, 2024-10-03 The intersection of philosophy and sociology within the realm of education is a dynamic field that offers profound insights into the fundamental principles and practices shaping educational systems globally. By examining the philosophical underpinnings of education, we gain a deeper understanding of how educational environments are influenced and constructed. This interdisciplinary approach not only enriches theoretical discussions but also has practical implications for curriculum development, policymaking, and the fostering of equitable and inclusive learning experiences. Educational Philosophy and Sociological Foundation of Education provides a comprehensive understanding of educational philosophy and its sociological underpinnings. Through a series of chapters authored by experts in the field, this book delves into various philosophical concepts and their implications for educational practices, while also exploring the sociological dimensions influencing educational systems. Covering topics such as academic achievement, outcome-based education, and universal design, this book is an excellent resource for graduate and postgraduate students, educators, researchers, policymakers, academicians, administrators, sociologists, and more. |
| data infrastructure for academic performance solution: A Practical Guide to Analytics for Governments Marie Lowman, 2017-05-05 Analytics can make government work better—this book shows you how A Practical Guide to Analytics for Governments provides demonstrations of real-world analytics applications for legislators, policy-makers, and support staff at the federal, state, and local levels. Big data and analytics are transforming industries across the board, and government can reap many of those same benefits by applying analytics to processes and programs already in place. From healthcare delivery and child well-being, to crime and program fraud, analytics can—in fact, already does—transform the way government works. This book shows you how analytics can be implemented in your own milieu: What is the downstream impact of new legislation? How can we make programs more efficient? Is it possible to predict policy outcomes without analytics? How do I get started building analytics into my government organization? The answers are all here, with accessible explanations and useful advice from an expert in the field. Analytics allows you to mine your data to create a holistic picture of your constituents; this model helps you tailor programs, fine-tune legislation, and serve the populace more effectively. This book walks you through analytics as applied to government, and shows you how to reap Big data's benefits at whatever level necessary. Learn how analytics is already transforming government service delivery Delve into the digital healthcare revolution Use analytics to improve education, juvenile justice, and other child-focused areas Apply analytics to transportation, criminal justice, fraud, and much more Legislators and policy makers have plenty of great ideas—but how do they put those ideas into play? Analytics can play a crucial role in getting the job done well. A Practical Guide to Analytics for Governments provides advice, perspective, and real-world guidance for public servants everywhere. |
| data infrastructure for academic performance solution: Proceedings of the XIV INTERNATIONAL SYMPOSIUM SYMORG 2014 Aleksandar Marković, Slađana Barjaktarović Rakočević, 2014-06-05 |
| data infrastructure for academic performance solution: Digitalization and Analytics for Smart Plant Performance Frank (Xin X.) Zhu, 2021-04-06 This book addresses the topic of integrated digitization of plants on an objective basis and in a holistic manner by sharing data, applying analytics tools and integrating workflows via pertinent examples from industry. It begins with an evaluation of current performance management practices and an overview of the need for a Connected Plant via digitalization followed by sections on Connected Assets: Improve Reliability and Utilization, Connected Processes: Optimize Performance and Economic Margin and Connected People: Digitalizing the Workforce and Workflows and Developing Ownership and Digital Culture, then culminating in a final section entitled Putting All Together Into an Intelligent Digital Twin Platform for Smart Operations and Demonstrated by Application cases. |
| data infrastructure for academic performance solution: Empowering Students and Families to Make Informed Decisions on Higher Education United States. Congress. House. Committee on Education and the Workforce. Subcommittee on Higher Education and Workforce Development, 2017 |
| data infrastructure for academic performance solution: The PISA Effect on Global Educational Governance Louis Volante, 2017-09-18 The Program for International Student Assessment (PISA) is an international achievement measure that assesses 15-year-old student performance in the areas of reading, mathematics, and science literacy in over 70 countries and economies triennially. By presenting an in-depth examination of PISA’s role in education governance and policy discourses, this book provides the reader with a critical analysis of the educational change process within our increasingly global educational policy environment. Exploring the prominent socio-political drivers of large-scale educational reform across the globe, chapter authors examine PISA’s national and global implications from a diverse range of regional contexts. Through the presentation of cross-disciplinary viewpoints and topical issues related to the PISA international survey, this volume explains the degree to which PISA-focused research is linked to national educational policy discourses and international education agendas. |
| data infrastructure for academic performance solution: Big Data in Education Ben Williamson, 2017-07-24 Big data has the power to transform education and educational research. Governments, researchers and commercial companies are only beginning to understand the potential that big data offers in informing policy ideas, contributing to the development of new educational tools and innovative ways of conducting research. This cutting-edge overview explores the current state-of-play, looking at big data and the related topic of computer code to examine the implications for education and schooling for today and the near future. Key topics include: · The role of learning analytics and educational data science in schools · A critical appreciation of code, algorithms and infrastructures · The rise of ‘cognitive classrooms’, and the practical application of computational algorithms to learning environments · Important digital research methods issues for researchers This is essential reading for anyone studying or working in today′s education environment! |
| data infrastructure for academic performance solution: Street Data Shane Safir, Jamila Dugan, 2021-02-12 Radically reimagine our ways of being, learning, and doing Education can be transformed if we eradicate our fixation on big data like standardized test scores as the supreme measure of equity and learning. Instead of the focus being on fixing and filling academic gaps, we must envision and rebuild the system from the student up—with classrooms, schools and systems built around students’ brilliance, cultural wealth, and intellectual potential. Street data reminds us that what is measurable is not the same as what is valuable and that data can be humanizing, liberatory and healing. By breaking down street data fundamentals: what it is, how to gather it, and how it can complement other forms of data to guide a school or district’s equity journey, Safir and Dugan offer an actionable framework for school transformation. Written for educators and policymakers, this book · Offers fresh ideas and innovative tools to apply immediately · Provides an asset-based model to help educators look for what’s right in our students and communities instead of seeking what’s wrong · Explores a different application of data, from its capacity to help us diagnose root causes of inequity, to its potential to transform learning, and its power to reshape adult culture Now is the time to take an antiracist stance, interrogate our assumptions about knowledge, measurement, and what really matters when it comes to educating young people. |
| data infrastructure for academic performance solution: AI-Assisted Special Education for Students With Exceptional Needs Kumar, Ashish, Nayyar, Anand, Sachan, Rohit Kumar, Jain, Rachna, 2023-10-02 AI-Assisted Special Education for Students With Exceptional Needs is a comprehensive and insightful exploration of the intersection between special education and artificial intelligence (AI). This book delves into the fundamental principles, historical background, and current challenges faced in providing effective education to students with special needs. It compares traditional education methods with special education practices and highlights the limitations of conventional classrooms in addressing the diverse learning difficulties of exceptional students. The book also explores the impact of AI-based special education on both educators and students, providing valuable insights and strategies for stakeholders to adopt and implement these technologies effectively. Legal aspects surrounding the right to education for disabled individuals are discussed, ensuring a comprehensive understanding of the legal framework supporting special education initiatives. Real-world case studies and success stories serve as inspiration, illustrating the transformative potential of AI in special education. Featuring contributions from academicians and professionals from esteemed organizations, this book provides hands-on chapters that cover topics such as research challenges, data analysis, machine learning, intelligent learning environments, IoT wearable devices, comprehensive systems with intelligent teacher assistance, parental and societal roles, and the prospects of AI-assisted special education. Whether educator, mentor, training professional, researcher, or student, AI-Assisted Special Education for Students With Exceptional Needs offers a wealth of knowledge and practical insights. |
| data infrastructure for academic performance solution: Handbook of Artificial Intelligence in Education Benedict du Boulay, Antonija Mitrovic, Kalina Yacef, 2023-01-20 Gathering insightful and stimulating contributions from leading global experts in Artificial Intelligence in Education (AIED), this comprehensive Handbook traces the development of AIED from its early foundations in the 1970s to the present day. |
| data infrastructure for academic performance solution: Seeking solutions : high-performance computing for science. United States. Congress. Office of Technology Assessment, 1991 |
| data infrastructure for academic performance solution: Utilizing Learning Analytics to Support Study Success Dirk Ifenthaler, Dana-Kristin Mah, Jane Yin-Kim Yau, 2019-01-17 Students often enter higher education academically unprepared and with unrealistic perceptions and expectations of university life, which are critical factors that influence students’ decisions to leave their institutions prior to degree completion. Advances in educational technology and the current availability of vast amounts of educational data make it possible to represent how students interact with higher education resources, as well as provide insights into students’ learning behavior and processes. This volume offers new research in such learning analytics and demonstrates how they support students at institutions of higher education by offering personalized and adaptive support of their learning journey. It focuses on four major areas of discussion: · Theoretical perspectives linking learning analytics and study success. · Technological innovations for supporting student learning. · Issues and challenges for implementing learning analytics at higher education institutions. · Case studies showcasing successfully implemented learning analytics strategies at higher education institutions. Utilizing Learning Analytics to Support Study Success ably exemplifies how educational data and innovative digital technologies contribute to successful learning and teaching scenarios and provides critical insight to researchers, graduate students, teachers, and administrators in the general areas of education, educational psychology, academic and organizational development, and instructional technology. |
| data infrastructure for academic performance solution: World Development Report 2018 World Bank Group, 2017-10-16 Every year, the World Bank’s World Development Report (WDR) features a topic of central importance to global development. The 2018 WDR—LEARNING to Realize Education’s Promise—is the first ever devoted entirely to education. And the time is right: education has long been critical to human welfare, but it is even more so in a time of rapid economic and social change. The best way to equip children and youth for the future is to make their learning the center of all efforts to promote education. The 2018 WDR explores four main themes: First, education’s promise: education is a powerful instrument for eradicating poverty and promoting shared prosperity, but fulfilling its potential requires better policies—both within and outside the education system. Second, the need to shine a light on learning: despite gains in access to education, recent learning assessments reveal that many young people around the world, especially those who are poor or marginalized, are leaving school unequipped with even the foundational skills they need for life. At the same time, internationally comparable learning assessments show that skills in many middle-income countries lag far behind what those countries aspire to. And too often these shortcomings are hidden—so as a first step to tackling this learning crisis, it is essential to shine a light on it by assessing student learning better. Third, how to make schools work for all learners: research on areas such as brain science, pedagogical innovations, and school management has identified interventions that promote learning by ensuring that learners are prepared, teachers are both skilled and motivated, and other inputs support the teacher-learner relationship. Fourth, how to make systems work for learning: achieving learning throughout an education system requires more than just scaling up effective interventions. Countries must also overcome technical and political barriers by deploying salient metrics for mobilizing actors and tracking progress, building coalitions for learning, and taking an adaptive approach to reform. |
| data infrastructure for academic performance solution: Seeking Solutions , 1991 |
| data infrastructure for academic performance solution: Smart Technologies and Innovation for a Sustainable Future Ahmed Al-Masri, Kevin Curran, 2019-01-08 The book presents high-quality research papers presented at the 1st AUE International research conference, AUEIRC 2017, organized by the American University in the Emirates, held on November 15th-16th, 2017 in Dubai. The book is broadly divided into three sections: Media and Smart Cities, Creative Technologies and Innovation, and Security Risks and Strategic Challenges. The areas covered under these sections are cyber-psychology and digital forensics, cloud RAN architecture, networking functions virtualization, e-Governance and IoT semantic interoperability, ERP security, web-based application and problem-solving skills, smart technologies and advertising, smart technologies for smart cities, smart adaptable navigation systems, turbo codes for security key generation, technology advanced student learning and mobile devices, big data security and privacy, multi-channel buffer enabled technique, physiological signal acquisition in electro-oculography, blockchain and donation-based crowdfunding, smart city and framework development approach, news channel and media education, UAE foreign policy, China-GCC relations, diplomacy in the Internet age, intelligent cyber-security strategies, industry securities and strategic challenges, hybrid alliances and corporate security, security and privacy in smart cities, human computer interaction and e-learning solution, complexity of smart cities governance. The papers included in this book present insightful information on the most recent and relevant research, theories and practices in the field, which aim for a sustainable future. |
| data infrastructure for academic performance solution: Data Storage Architectures and Technologies Jiwu Shu, |
| data infrastructure for academic performance solution: Big Data Applications in Industry 4.0 P. Kaliraj, T. Devi, 2022-02-10 Industry 4.0 is the latest technological innovation in manufacturing with the goal to increase productivity in a flexible and efficient manner. Changing the way in which manufacturers operate, this revolutionary transformation is powered by various technology advances including Big Data analytics, Internet of Things (IoT), Artificial Intelligence (AI), and cloud computing. Big Data analytics has been identified as one of the significant components of Industry 4.0, as it provides valuable insights for smart factory management. Big Data and Industry 4.0 have the potential to reduce resource consumption and optimize processes, thereby playing a key role in achieving sustainable development. Big Data Applications in Industry 4.0 covers the recent advancements that have emerged in the field of Big Data and its applications. The book introduces the concepts and advanced tools and technologies for representing and processing Big Data. It also covers applications of Big Data in such domains as financial services, education, healthcare, biomedical research, logistics, and warehouse management. Researchers, students, scientists, engineers, and statisticians can turn to this book to learn about concepts, technologies, and applications that solve real-world problems. Features An introduction to data science and the types of data analytics methods accessible today An overview of data integration concepts, methodologies, and solutions A general framework of forecasting principles and applications, as well as basic forecasting models including naïve, moving average, and exponential smoothing models A detailed roadmap of the Big Data evolution and its related technological transformation in computing, along with a brief description of related terminologies The application of Industry 4.0 and Big Data in the field of education The features, prospects, and significant role of Big Data in the banking industry, as well as various use cases of Big Data in banking, finance services, and insurance Implementing a Data Lake (DL) in the cloud and the significance of a data lake in decision making |
| data infrastructure for academic performance solution: Cloud Computing Solutions Souvik Pal, Dac-Nhuong Le, Prasant Kumar Pattnaik, 2022-05-11 CLOUD COMPUTING SOLUTIONS The main purpose of this book is to include all the cloud-related technologies in a single platform, so that researchers, academicians, postgraduate students, and those in the industry can easily understand the cloud-based ecosystems. This book discusses the evolution of cloud computing through grid computing and cluster computing. It will help researchers and practitioners to understand grid and distributed computing cloud infrastructure, virtual machines, virtualization, live migration, scheduling techniques, auditing concept, security and privacy, business models, and case studies through the state-of-the-art cloud computing countermeasures. This book covers the spectrum of cloud computing-related technologies and the wide-ranging contents will differentiate this book from others. The topics treated in the book include: The evolution of cloud computing from grid computing, cluster computing, and distributed systems; Covers cloud computing and virtualization environments; Discusses live migration, database, auditing, and applications as part of the materials related to cloud computing; Provides concepts of cloud storage, cloud strategy planning, and management, cloud security, and privacy issues; Explains complex concepts clearly and covers information for advanced users and beginners. Audience The primary audience for the book includes IT, computer science specialists, researchers, graduate students, designers, experts, and engineers who are occupied with research. |
| data infrastructure for academic performance solution: Digital Disruption in Teaching and Testing Claire Wyatt-Smith, Bob Lingard, Elizabeth Heck, 2021-04-28 This book provides a significant contribution to the increasing conversation concerning the place of big data in education. Offering a multidisciplinary approach with a diversity of perspectives from international scholars and industry experts, chapter authors engage in both research- and industry-informed discussions and analyses on the place of big data in education, particularly as it pertains to large-scale and ongoing assessment practices moving into the digital space. This volume offers an innovative, practical, and international view of the future of current opportunities and challenges in education and the place of assessment in this context. |
| data infrastructure for academic performance solution: Radical Solutions for Digital Transformation in Latin American Universities Daniel Burgos, John Willian Branch, 2021-07-24 This book presents how Digital Transformation is a requirement to upgrade Latin American universities to a next level in management, lecturing and learning processes and strategies. The book starts with a thorough introduction of the Latin American context addressing the three main topics in the book: Digital Transformation, Higher Education and Artificial Intelligence & Industry 4.0. They will be depicted by region, with a clear distribution between Central America & Mexico, Comunidad Andina (Perú, Colombia, Chile, Ecuador, Bolivia), Mercosur (Argentina, Brasil, Paraguay and Uruguay), and other countries. The book also shows how online learning is a key part of the transformation, with a clear focus on learning management systems, innovation and learning analytics. Further, personalised services for every single profile at the university (students, lecturers, academic managers) are presented to guarantee inclusive education service aggregation for networked campuses. Following, the book addresses strategy and overall services that concentrate on sustainability and revenue models integrated with a strategic planning. Finally a set of chapters will show specific experiences and case studies of direct application of Artificial Intelligence and Technology 4.0, where the readers can learn from and transfer directly into their educational contexts. |
| data infrastructure for academic performance solution: From Summits to Solutions Raj M. Desai, Hiroshi Kato, Homi Kharas, 2018-07-24 A positive agenda for achieving the Sustainable Development Goals by 2030 All 193 member nations of the United Nations agreed in September 2015 to adopt a set of seventeen Sustainable Development Goals, to be achieved by 2030. Each of the goals—in such areas as education and health care —is laudable in and of itself, and governments and organizations are working hard on them. But so far there is no overall, positive agenda of what new things need to be done to ensure the goals are achieved across all nations. In a search of fresh approaches to the longstanding problems targeted by the Sustainable Development Goals, the Japan International Cooperation Agency and the Global Economy and Development program at Brookings mounted a collaborative research effort to advance implementation of Agenda 2030. This edited volume is the product of that effort. The book approaches the UN's goals through three broad lenses. The first considers new approaches to capturing value. Examples include Nigeria's first green bonds, practical methods to expand women's economic opportunities, benchmarking to reflect business contributions to achieving the goals, new incentives for investment in infrastructure, and educational systems that promote cross-sector problem solving. The second lens entails new approaches to targeting places, including oceans, rural areas, fast-growing developing cities, and the interlocking challenge of data systems, including geospatial information generated by satellites. The third lens focuses on updating governance, broadly defined. Issues include how civil society can align with the SDG challenge; how an advanced economy like Canada can approach the goals at home and abroad; what needs to be done to foster new approaches for managing the global commons; and how can multilateral institutions for health and development finance evolve. |
| data infrastructure for academic performance solution: Topics in Artificial Intelligence Applied to Industry 4.0 Mahmoud Ragab AL-Refaey, Amit Kumar Tyagi, Abdullah Saad AL-Malaise AL-Ghamdi, Swetta Kukreja, 2024-07-15 Forward thinking resource discussing emerging AI and IoT technologies and how they are applied to Industry 4.0 Topics in Artificial Intelligence Applied to Industry 4.0 discusses the design principles, technologies, and applications of emerging AI and IoT solutions on Industry 4.0, explaining how to make improvements in infrastructure through emerging technologies. Providing a clear connection with different technologies such as IoT, Big Data, AR and VR and Blockchain, this book presents security, privacy, trust, and other issues whilst delving into real-world problems and case studies. The text takes a highly practical approach, with a clear insight on how readers can increase productivity by drastically shortening the time period between the development of a new product and its delivery to customers in the market by 50%. This book also discusses how to save energy across systems to ensure competitiveness in a global market, and become more responsive in how they produce products and services for their consumers, such as by investing in flexible production lines. Written by highly qualified authors, Topics in Artificial Intelligence Applied to Industry 4.0 explores sample topics such as: Quantum machine learning, neural network implementation, and cloud and data analytics for effective analysis of industrial data Computer vision, emerging networking technologies, industrial data spaces, and an industry vision for 2030 in both developing and developed nations Novel or improved nature-inspired optimization algorithms in enhancing Industry 5.0 and the connectivity of any components for smart environment Future professions in agriculture, medicine, education, fitness, R&D, and transport and communication as a result of new technologies Aimed at researchers and students in the interdisciplinary fields of Smart Manufacturing and Smart Applications, Topics in Artificial Intelligence Applied to Industry 4.0 provides the perfect overview of technology from the perspective of modern society and operational environment. |
| data infrastructure for academic performance solution: The AI Revolution: How Artificial Intelligence Will Reshape Our Lives, Careers, and Future Rick Spair, Welcome to The AI Revolution: How Artificial Intelligence Will Reshape Our Lives, Careers, and Future, a comprehensive exploration of one of the most transformative technologies of our time. Artificial Intelligence (AI) is not just a buzzword or a distant futuristic concept; it is a reality that is rapidly reshaping every facet of our lives. From the way we communicate, work, and learn to how we address global challenges, AI is at the forefront of innovation and change. As you delve into this book, you will embark on a journey through the history, development, and profound impact of AI. We will explore the foundational concepts that underpin AI technologies, demystify the jargon that often surrounds this field, and provide a clear understanding of how AI works. More importantly, we will examine the real-world applications of AI across various sectors, highlighting the benefits and challenges that come with integrating AI into our daily lives. The narrative will take you through the corridors of healthcare, where AI is revolutionizing diagnostics and treatment; into the financial world, where it is enhancing fraud detection and customer service; and onto the roads, where autonomous vehicles are becoming a reality. You will see how AI is personalizing education, transforming entertainment, and optimizing retail experiences. Each chapter is designed to provide insights into how AI is currently being utilized and the future possibilities it holds. Beyond the technological advancements, this book delves into the ethical considerations and societal impacts of AI. We will discuss the moral dilemmas, privacy concerns, and the need for transparency and accountability in AI development. Understanding these aspects is crucial for fostering a responsible AI ecosystem that benefits all of humanity. In the chapters dedicated to the future of work, you will learn about the skills and competencies required in an AI-driven job market. We will explore the opportunities and challenges posed by job automation and the importance of continuous learning and adaptability. This book aims to equip you with the knowledge to navigate and thrive in a rapidly changing world. We will also address the vital role of individuals, businesses, and governments in shaping the future of AI. From fostering innovation and ensuring ethical practices to promoting inclusivity and equity, the collective efforts of all stakeholders are essential for creating a balanced and beneficial AI landscape. The AI Revolution: How Artificial Intelligence Will Reshape Our Lives, Careers, and Future is not just an academic discourse but a call to action. It encourages readers to engage with AI positively, responsibly, and proactively. As we stand on the brink of this technological revolution, it is imperative to understand its implications and harness its potential to create a better, more equitable world. Join us as we explore the fascinating world of AI, understand its transformative power, and envision a future where technology and humanity coexist harmoniously for the greater good. |
| data infrastructure for academic performance solution: Innovation and Research – Smart Technologies & Systems Marcelo Zambrano Vizuete, |
| data infrastructure for academic performance solution: BoogarLists | Directory of VARs & Outsourcing , |
| data infrastructure for academic performance solution: Digital Transformation in Higher Education, Part B Miltiadis D. Lytras, Andreea Claudia Serban, Afnan Alkhaldi, Sawsan Malik, Tahani Aldosemani, 2024-10-28 Digital Transformation in Higher Education is a pivotal reference through the transformative power of emerging technologies in academia. Addressing the dual nature of technology as both a challenge and an opportunity, this book presents a rich overview of strategies for integrating digital technology-driven advancements. |
| data infrastructure for academic performance solution: Artificial Intelligence (AI) and Customer Social Responsibility (CSR) Reem Khamis Hamdan, |
| data infrastructure for academic performance solution: Proceedings of the Ninth Annual GIFT Users Symposium (GIFTsym9) Benjamin Goldberg, 2021-05-26 The GIFT Users Symposia began in 2013 with the goal to capture successful implementations of GIFT from the user community and to share recommendations leading to more useful capabilities for authors, researchers, and learners of Adaptive Instructional Systems (AIS). The attached proceedings resulted from papers accepted for the 9th Annual GIFT Users Symposium held virtually (due to COVID-19) on 26-27 May 2021. It is a excellent collection of contributions covering all aspects of AIS implementation, with special attention towards future training and education concepts centered around collaboration and team dynamics. |
| data infrastructure for academic performance solution: Building Organizational Capacity and Strategic Management in Academia Kayyali, Mustafa, 2024-11-01 As higher education institutions face challenges like technological advancements, student demographics, and funding constraints, effective strategic management is essential. This involves enhancing institutional capabilities through improved governance, resource allocation, and stakeholder engagement while fostering a culture of innovation and collaboration. By prioritizing strategic planning and capacity building, academic institutions can remain relevant and responsive to the needs of students, faculty, and the broader community. Further research empowers universities to achieve sustainable growth and fulfill their educational and social objectives. Building Organizational Capacity and Strategic Management in Academia explores the crucial role of leadership and strategic management in boosting the capacity and effectiveness of higher education institutions. It examines the complex dynamics of organizational change, innovation, and sustainable growth within the setting of academia. This book covers topics such as brand management, information technology, and strategic planning, and is a useful resource for business owners, academicians, educators, managers, computer engineers, scientists, and researchers. |
| data infrastructure for academic performance solution: Handbook Industry 4.0 Walter Frenz, 2022-06-22 The handbook presents an overview of Industry 4.0 and offers solutions for important practical questions. The law and its current challenges regarding data assignment (who owns the data? / EU guidelines), data security, data protection (General Data Protection Regulation), cyberattacks, competition law (right to access vs. monopolists, permissible and prohibited exchanges of information, possible collaborations) is the point of departure. In turn, the book explores peculiarities in specific areas of Industry 4.0 (Internet of Production, mechanical engineering, artificial intelligence, electromobility, autonomous driving, traffic, medical science, construction, energy industry, etc.). The book’s closing section addresses general developments in management, the digital transformation of companies and the world of work, and ethical questions. |
| data infrastructure for academic performance solution: Handbook of Global Education Policy Karen Mundy, Andy Green, Bob Lingard, Antoni Verger, 2016-02-29 This innovative new handbook offers a comprehensive overview of the ways in which domestic education policy is framed and influenced by global institutions and actors. Surveys current debates about the role of education in a global polity, highlights key transnational policy actors, accessibly introduces research methodologies, and outlines global agendas for education reform Includes contributions from an international cast of established and emerging scholars at the forefront of the field thoughtfully edited and organized by a team of world-renowned global education policy experts Each section features a thorough introduction designed to facilitate readers’ understanding of the subsequent material and highlight links to interdisciplinary global policy scholarship Written in an accessible and engaging style that will appeal to domestic and international policy practitioners, social scientists, and education scholars alike |
| data infrastructure for academic performance solution: Green Data Centers Monthly Newsletter June 2010 , |
| data infrastructure for academic performance solution: Architectural Research Addressing Societal Challenges Volume 2 Manuel Jorge Rodrigues Couceiro da Costa, Filipa Roseta, Susana Couceiro da Costa, Joana Pestana Lages, 2017-09-19 The EAAE/ARCC International Conference, held under the aegis of the EAAE (European Association for Architectural Education) and of the ARCC (Architectural Research Centers Consortium), is a conference organized every other year, in collaboration with one of the member schools / universities of those associations, alternatively in North America or in Europe. The EAAE/ARCC Conferences began at the North Carolina State University College of Design, Raleigh with a conference on Research in Design Education (1998); followed by conferences in Paris (2000), Montreal (2002), Dublin (2004), Philadelphia (2006), Copenhagen (2008), Washington (2010), Milan (2012) and Honolulu (2014). The conference discussions focus on research experiences in the field of architecture and architectural education, providing a critical forum for the dissemination and engagement of current ideas from around the world. |
| data infrastructure for academic performance solution: Data for Continuous Programmatic Improvement Ellen B. Mandinach, Edith Gummer, 2018-11-06 This book addresses the issue of data use in educator preparation programs towards continuous programmatic improvement. With an aim to increase the rigor in both research and practice in educational administration and teacher education, this volume will analyze the longstanding quality concerns about teacher and leadership preparation and standards for programs and educators, as well as controversies concerning national accreditation and federal efforts to mandate program reporting data. By exploring the policies and practices that influence departments of education, this volume examines the increasing pressures to improve institutional functioning, within a complex system of university, state, and national structures and organizations. |
Data and Digital Outputs Management Plan (DDOMP)
Data and Digital Outputs Management Plan (DDOMP)
Building New Tools for Data Sharing and Reuse through a …
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Open Data Policy and Principles - Belmont Forum
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Belmont Forum Adopts Open Data Principles for Environmental …
Jan 27, 2016 · Adoption of the open data policy and principles is one of five recommendations in A Place to Stand: e-Infrastructures and Data Management for Global Change Research, …
Belmont Forum Data Accessibility Statement and Policy
The DAS encourages researchers to plan for the longevity, reusability, and stability of the data attached to their research publications and results. Access to data promotes reproducibility, …
Climate-Induced Migration in Africa and Beyond: Big Data and …
CLIMB will also leverage earth observation and social media data, and combine them with survey and official statistical data. This holistic approach will allow us to analyze migration process …
Advancing Resilience in Low Income Housing Using Climate …
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Belmont Forum
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Waterproofing Data: Engaging Stakeholders in Sustainable Flood …
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Data Management Annex (Version 1.4) - Belmont Forum
A full Data Management Plan (DMP) for an awarded Belmont Forum CRA project is a living, actively updated document that describes the data management life cycle for the data to be …
Securing Student Data in the Age of Generative AI
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in students’ academic performance by 30.3%, indirect infrastructure utilization by 35.6%, and co- curricular infrastructure utilization by 43.6% and all were statistically significant at 1%. However,
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TRENDS IN ACADEMIC PERFORMANCE 2 Abstract We use data from the Stanford Education Data Archive to describe district-level trends in average academic achievement between 2009 …
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nd-to-End Data Driven Applications on AWS AWS Whitepaper There are three different stages to building a modern data strategy. These stages are not sequential, and you can start at any …
Data Modernization A Strategic Imperative
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Using Needs Assessments for School and District Improvement
an ongoing performance management cycle that includes both longer-range performance goals and shorter-cycle implementation targets. An NA should include questions at the LEA level, …
Infrastructural Challenges Influencing Academic …
17 Website:www.jriiejournal.com ISSN 2520-7504 (Online) Vol.6, Iss.2, 2022 (pp. 17 - 24 ) Infrastructural Challenges Influencing Academic
The Impact of Physical Facilities on Students’ Level of ... - ed
“Motivation and Academic Performance of Senior Secondary School Students” (MAPSSS) was used to elicit information from the respondents on motivating factors that could enhance their …
Class Furniture and School Infrastructure as ... - Global …
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An analysis of how socioeconomic issues affect the …
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Smart Roads: Roadside Perception, Vehicle-Road Cooperation …
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THE INFLUENCE OF SCHOOL FACILITIES ON STUDENT'S …
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Environmental Consumption, Waste Recycling, and Academic …
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M. Yangambi DOI: 10.4236/ce.2023.144052 792 Creative Education 3) Lighting; 4) The role of temperature; 5) Classroom size and space etc. (TASB, 2014).
Student mental health and well-being: A review of evidence …
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Effect of School Facilities on Learner's Academic …
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iv Abstract The Department of Homeland Security Enterprise Business Management Office (EBMO) recognizes that a key requirement for the success of information technology (IT) …
DATA INTEROPERABILITY: A PRACTITIONER’S GUIDE TO
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Critical Analysis of the Problems of Education in Pakistan: …
evaluate the performance of students. The examination system of Pakistan is not only outdated but it also does not have the quality to evaluate the performance of learners comprehensively. …
PI System: Data Infrastructure for Performance Intelligence
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GHANA’S FREE SENIOR HIGH SCHOOL POLICY: EVIDENCE …
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Data Management in Microservices: State of the Practice, …
data systems such as message brokers, in-memory caches, ana-lytical engines, and loosely structured and structured DBMSs in an ad-hoc manner. This system complexity leads to a …
Model-as-a-Service (MaaS): A Survey - arXiv.org
Model-as-a-Service (MaaS): A Survey Wensheng Gan1,2, Shicheng Wan3∗, Philip S. Yu4 1Jinan University, Guangzhou 510632, China 2Pazhou Lab, Guangzhou 510330, China 3South China …
Influence Of School Infrastructural Environment On …
laboratory affects academic performance in Kenya certificate of secondary education, to find out how adequacy of boarding infrastructure influences students academic performance in KCSE …
Implications of Educational Infrastructure Development on
iii . DEDICATION . This research is dedicated to all teachers who are working in rural secondary and primary schools. For the work they are performing tirelessly to make sure that
CommScope Enterprise Data Center Design Guide - Accu-Tech
Our efforts extend beyond total solution performance. We are also compliant with the RoHS (Restriction of Hazardous Substances) directive adopted by the European Union in 2006, by ...
Software-Defined Networking: State of the Art and …
infrastructure concerns that increase management complexity. In addition, most modern-day vendors use control-plane software to optimize data flow to achieve high performance and …
THE IMPACT OF MENTAL HEALTH ISSUES ON ACADEMIC …
A student’s grades or academic performance is only one measure of success; however, a correlation can often be found between a student’s poor academic performance and his/her …
Reference Architecture: Enterprise AI/ML Workloads on …
Dec 26, 2023 · • Scale and secure AI infrastructure and data • Data privacy, model accuracy, bias and ethics . 2.2 Business value • Scalable infrastructure options for edge and datacenter …
The Impact of Infrastructure on Development Outcomes
Straub (2008) infrastructure and development 77 1989 - 2007 Timilsina et al (2020) infrastructure, growth, and poverty reduction 105 1970 - 2020 Vagliasindi and Gorgulu (2021) Infrastructure, …
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Four Performance Levels specified against each standard ranging from 1 to 4; Set of observable actions or practices termed as Performance Indicators mentioned against each Performance …
Part 3: Thinking Broadly and Deeply about Rural Student ... - ed
In this section, we use data to show the diversity of rural student academic performance on the Nation’s Report Card. We further elaborate on the diversity of the rural student achievement …
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develop infrastructure; and to improve economic knowledge, culture and morality, as well as ... their children’s performance contribute to children losing their academic focus. Poverty-stricken …
Provision of Electricity and Internet Access in DepEd Schools ...
data from DepEd was analyzed using Python programming language. This was then complemented by data from a panel of schools where NAT scores were compared before and …
Data Center Power Management, DCIM Software, and KVM …
Data Center Infrastructure Management (DCIM) $830 2014 *Raritan, $1 ,838 2016 $1273 2015 ... goals and optimize their data center's performance." ... solution, Data center operators have …
Student-Teacher Relationships as a Panacea for Students’ …
Student-Teacher Relationships as a Panacea for Students’ Academic Performance in Nigeria Secondary Schools: An Attachment Perspective ... Data collected were analysed using …
Educate Girls: Improving the Quality and Outcomes of …
Dec 22, 2017 · school committees in reducing gender disparity in the school infrastructure; train government teachers in a child-centric, creative learning approach to improve academic …
INFLUENCE OF TEACHER MOTIVATION ON STUDENTS’ …
variables affect students’ performance in academics. For instance, Conrad Potberg (2015) South Africa; in his research found out that proper and enough educational facilities or infrastructure …
Spatial Data Infrastructure for emergency management: the …
A SDI therefore would be the solution to support the emergency management information needs and it will increase efficient and effective emergency management. 3. Spatial Data …
AWS Global Infrastructure
most secure global infrastructure knowing you can always control your data, encrypt it, move it, and manage retention at any time. AWS Global Infrastructure: Meeting organizations’ most …
JETC Report AbridgedVersion - Prime Minister of Jamaica
Program. These upstream changes are yet to have any meaningful effects on the academic performance of our students, the majority of whom continue to perform at well below the goals …
FactSet Performance Solution
data into FactSet. Power your performance workflow with a SaaS-deployed solution that is fully integrated with FactSet Portfolio Analysis and offers embedded market content. Perform official …
Infrastructural Challenges Influencing Academic …
infrastructure negatively influences academic performance. The study recommended that the government, with other stakeholders, should increase funding for schools to provide and …
Understanding the impacts of floods on learning quality, …
bearing on school attendance and academic performance (Mudavanhu, 2015; Gibbs et al., 2019). Unfortunately, existing statistical data on the effects of disasters on schools remain focused on …
Modern Data Infrastructure Dynamics - Hitachi Vantara LLC
Modern Data Infrastructure Dynamics hitachivantara.com 1 02 Executive Summary 03 Overwhelmed by Data 03 More isn’t Always Better 03 The Impact of Increasing Data …
