Implement Improve and Expand Your Statewide Longitudinal Data System

Author: Jamie McQuiggan
Publisher: John Wiley & Sons
ISBN: 9781118466773
Format: PDF, Mobi
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Step-by-step guidance for implementing an effective statewide longitudinal data system Every U.S. state faces challenges in its efforts to ensure the highest-quality education for students. To address these challenges, a growing number of states are establishing statewide longitudinal data systems (SLDSs), a data-rich system integrating relevant data about a student's education. Implementing Statewide Longitudinal Data Systems for Education presents a detailed and contextualized discussion of SLDSs, which will serve as a recipe for states that want to implement an SLDS, develop design and enactment of new and existing SLDS systems, addressing implementation, operation and optimization. Provides a contextualized discussion of the history and purpose of SLDSs Describes how to plan for and implement an SLDS, including best practices regarding data governance, standards and privacy Discusses proven methods of data management, and details the two most popular methods of database architectures used for SLDSs Provides 5 case studies of states successfully using SLDSs Offers suggestions for expansion and inclusion of new datasets over time This essential book addresses the culture of data concept, providing a guide for states to usher in a new era in their education system where data is invaluable and used by everyone, not simply the newest version of the old system. A robust LDS initiative includes linked student records, teacher records, test scores, course selection, finances, certifications, licensure, salary and more. Concluding with a discussion of the potential future uses of SLDS, this book is the ultimate guide to SLDS implementation and understanding.

Unleashing Your Inner Leader

Author: Vickie Bevenour
Publisher: John Wiley & Sons
ISBN: 1118855043
Format: PDF
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This book presents the premise that there is a powerful leader inside each of us. The focus is on real life exercises and case studies to help you discover, release, and leverage your inner leader to reach heights in your career that you never thought possible. It discusses the individual's impact on the organization and which professional behaviors most frequently demonstrate leadership competencies. Conduct a forensic intervention to find out what is going awry in your professional development, or what has gone wrong in the past, and craft a strategy to overcome obstacles, gain unmistakable clarity about yourself, and focus your abilities to match organizational needs. It will help you recognize where you fall on the leadership spectrum, and provides practical advice for shaping your brand of leadership to capitalize on your authentic capability and potential. --

Financial Institution Advantage and the Optimization of Information Processing

Author: Sean C. Keenan
Publisher: John Wiley & Sons
ISBN: 1119044170
Format: PDF, Docs
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This book will: Discuss unique approaches to meet regulatory requirements and provide resources to these activities Explain the link between data governance and model governance and provide an integrated approach to save millions of investment and improve the overall risk/return profile of the firm Provide guiding principles to how to approach and resource model risk and data risk management Assist System designers within financial institutions to connect and understand the core data architecture level, specific application requirements and performance related to data storage and retrieval Explain why/how huge model and data related gaffs have severely damaged the reputation of several high-profile financial institutions and could have been avoided

Mobile Learning

Author: Scott McQuiggan
Publisher: John Wiley & Sons
ISBN: 1118894308
Format: PDF, ePub, Docs
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Explore the game-changing technology that allows mobile learning to effectively reach K-12 students Mobile Learning: A Handbook for Developers, Educators and Learners provides research-based foundations for developing, evaluating, and integrating effective mobile learning pedagogy. Twenty-first century students require twenty-first century technology, and mobile devices provide new and effective ways to educate children. But with new technologies come new challenges—therefore, this handbook presents a comprehensive look at mobile learning by synthesizing relevant theories and drawing practical conclusions for developers, educators, and students. Mobile devices—in ways that the laptop, the personal computer, and netbook computers have not—present the opportunity to make learning more engaging, interactive, and available in both traditional classroom settings and informal learning environments. From theory to practice, Mobile Learning explores how mobile devices are different than their technological predecessors, makes the case for developers, teachers, and parents to invest in the technology, and illustrates the many ways in which it is innovative, exciting, and effective in educating K-12 students. Explores how mobile devices can support the needs of students Provides examples, screenshots, graphics, and visualizations to enhance the material presented in the book Provides developers with the background necessary to create the apps their audience requires Presents the case for mobile learning in and out of classrooms as early as preschool Discusses how mobile learning enables better educational opportunities for the visually impaired, students with Autism, and adult learners. If you're a school administrator, teacher, app developer, or parent, this topical book provides a theoretical, well-researched discussion of the pedagogical theory and mobile learning, as well as practical advice in setting up a mobile learning strategy.

From Compliance to Learning

Author: Husein Abdul-Hamid
Publisher: World Bank Publications
ISBN: 1464810591
Format: PDF
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From Compliance to Learning: A System for Harnessing the Power of Data in the State of Maryland builds on a 2015 World Bank report that assessed Education Management Information Systems (EMISs) in the state of Maryland. That report uncovered a successful system, and this one expands on lessons learned and ways to apply them in practice. The goal of this study is to distill Maryland’s good practices in education data systems and share them in a way that is useful to education stakeholders interested in harnessing the power of data to strengthen learning outcomes. This study also examines the history of education data collection and use in the United States with a focus on Maryland, including a review of federal and state legislation that has helped to shape Maryland’s education data policies and systems. In the digital age, information is power. When information is effectively harnessed and aligned with student learning, it carries the potential to radically transform the delivery of education, as well as the sector as a whole. Increasingly, education systems are moving away from using education data narrowly for compliance purposes; instead, they are embracing data as a tool to drive systemwide innovation, professionalization, and, most importantly, learning. Whether to prioritize and optimize data and information systems around student learning is no longer an option; it is imperative for education systems that aim to excel and achieve strong learning outcomes. Over the past several decades, fundamental shifts have occurred in the way that education data are collected, managed, and used. Today real-time learning data inform classroom instruction; predictive analytics identify at-risk youth before they drop out of school; and data from preschool to workforce are linked to help guide education reforms. These represent just a few of the innovative ways that schools and other stakeholders across the United States are harnessing data to improve education. The state’s success in establishing an enabling environment for education data systems and data utilization has built a strong foundation. Maryland effectively aligned a complex, statewide data system to deliver value. Prioritization of integration and alignment was key. The state then launched a longitudinal data system center that would drive an adaptive education system with insights that track students from pre-kindergarten to entry in the workforce. Data across the state are high quality and follow strict rules to preserve privacy and enhance security. Maryland’s utilization of data also offers valuable lessons. The statewide data system supports policy makers and decision makers in planning and management, as well as teachers, students, and families in instruction and learning. Consistent across Maryland’s structuring and use of data systems were a strong vision and a road map to execute that vision. Maryland’s journey offers many lessons, not only for countries with advanced data systems but also for those in less developed stages. While the technology and information exist to achieve data for learning, harnessing data within the right information system and ensuring utilization are challenging endeavors. An array of factors must align—leadership, policies, processes, and resources, to name a few—to effectively harness data to support and drive strong learning outcomes.

Predictive Analytics for Human Resources

Author: Jac Fitz-enz
Publisher: John Wiley & Sons
ISBN: 1118893670
Format: PDF, Docs
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"Predictive Analytics for Human Resources is a comprehensive guide to developing and implementing a human resource analytics project. The book starts with the basic idea of engaging in predictive analytics and walks through case simulations showing statistical examples. In addition, it addresses the topics of internal coaching, mentoring, and sponsoring and includes information on how to recruit a sponsor"--

Fraud Analytics Using Descriptive Predictive and Social Network Techniques

Author: Bart Baesens
Publisher: John Wiley & Sons
ISBN: 1119133122
Format: PDF, Kindle
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Detect fraud earlier to mitigate loss and prevent cascading damage Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques is an authoritative guidebook for setting up a comprehensive fraud detection analytics solution. Early detection is a key factor in mitigating fraud damage, but it involves more specialized techniques than detecting fraud at the more advanced stages. This invaluable guide details both the theory and technical aspects of these techniques, and provides expert insight into streamlining implementation. Coverage includes data gathering, preprocessing, model building, and post–implementation, with comprehensive guidance on various learning techniques and the data types utilized by each. These techniques are effective for fraud detection across industry boundaries, including applications in insurance fraud, credit card fraud, anti–money laundering, healthcare fraud, telecommunications fraud, click fraud, tax evasion, and more, giving you a highly practical framework for fraud prevention. It is estimated that a typical organization loses about 5% of its revenue to fraud every year. More effective fraud detection is possible, and this book describes the various analytical techniques your organization must implement to put a stop to the revenue leak. Examine fraud patterns in historical data Utilize labeled, unlabeled, and networked data Detect fraud before the damage cascades Reduce losses, increase recovery, and tighten security The longer fraud is allowed to go on, the more harm it causes. It expands exponentially, sending ripples of damage throughout the organization, and becomes more and more complex to track, stop, and reverse. Fraud prevention relies on early and effective fraud detection, enabled by the techniques discussed here. Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques helps you stop fraud in its tracks, and eliminate the opportunities for future occurrence.

Analytics in a Big Data World

Author: Bart Baesens
Publisher: John Wiley & Sons
ISBN: 1118892712
Format: PDF, ePub, Docs
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The guide to targeting and leveraging business opportunities using big data & analytics By leveraging big data & analytics, businesses create the potential to better understand, manage, and strategically exploiting the complex dynamics of customer behavior. Analytics in a Big Data World reveals how to tap into the powerful tool of data analytics to create a strategic advantage and identify new business opportunities. Designed to be an accessible resource, this essential book does not include exhaustive coverage of all analytical techniques, instead focusing on analytics techniques that really provide added value in business environments. The book draws on author Bart Baesens' expertise on the topics of big data, analytics and its applications in e.g. credit risk, marketing, and fraud to provide a clear roadmap for organizations that want to use data analytics to their advantage, but need a good starting point. Baesens has conducted extensive research on big data, analytics, customer relationship management, web analytics, fraud detection, and credit risk management, and uses this experience to bring clarity to a complex topic. Includes numerous case studies on risk management, fraud detection, customer relationship management, and web analytics Offers the results of research and the author's personal experience in banking, retail, and government Contains an overview of the visionary ideas and current developments on the strategic use of analytics for business Covers the topic of data analytics in easy-to-understand terms without an undo emphasis on mathematics and the minutiae of statistical analysis For organizations looking to enhance their capabilities via data analytics, this resource is the go-to reference for leveraging data to enhance business capabilities.

Data for Learning

Author: Husein Abdul-Hamid
Publisher: World Bank Publications
ISBN: 1464811008
Format: PDF
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Data are a crucial ingredient in any successful education system, but building and sustaining a data system are challenging tasks. Many countries around the world have spent significant resources but still struggle to accomplish a functioning Education Management Information System (EMIS). On the other hand, countries that have created successful systems are harnessing the power of data to improve education outcomes. Increasingly, EMISs are moving away from using data narrowly for counting students and schools. Instead, they use data to drive system-wide innovations, accountability, professionalization, and, most important, quality and learning. This broader use of data also benefits classroom instruction and support at schools. An effective data system ensures that education cycles, from preschool to tertiary, are aligned and that the education system is monitored so it can achieve its ultimate goal—producing graduates able to successfully transition into the labor market and contribute to the overall national economy. Data for Learning: Building a Smart Education Data System and its forthcoming companion volume shed light on challenges in building a data system and provide actionable direction on how to navigate the complex issues associated with education data for better learning outcomes and beyond. Data for Learning details the key ingredients of successful data systems, including tangible examples, common pitfalls, and good practices. It is a resource for policy makers working to craft the vision and strategic road map of an EMIS, as well as a handbook to assist teams and decision makers in avoiding common mistakes. It is designed to provide the “how-to†? and to guide countries at various stages of EMIS deployment. A forthcoming companion volume will focus on digging deeper into the practical applications of education data systems by various user groups in different settings.