This cutting-edge book presents the theory and practice of the Graph Model for Conflict Resolution (GMCR), which is used for strategically investigating disputes in any field to enable informed decision making. It clearly explains how GMCR can determine what is the best a particular decision maker (DM) can independently achieve in dynamic interaction with others. Moves and counter-moves follow various stability definitions reflecting human behavior under conflict. The book defines a wide range of preference structures to represent a DM's comparisons of states or scenarios: equally preferred, more or less preferred; unknown; degrees of strength of preference; and hybrid. It vividly describes how GMCR can ascertain whether a DM can fare even better by cooperating with others in a coalition. The book portrays how a conflict can evolve from the status quo to a desirable resolution, and provides a universal design for a decision support system to implement the innovative decision technologies using the matrix formulation of GMCR. Further, it illustrates the key ideas using real-world conflicts and supplies problems at the end of each chapter. As such, this highly instructive book benefits teachers, mentors, students and practitioners in any area where conflict arises.

State school finance formula cause funding inadequacy, allocative inefficiency, and educational resource equity gaps. Legislative and court-ordered remedies have failed to solve the disparities among schools and districts. This book's ground-breaking innovation shows how to shift the public education finance paradigm to fund K-12 public education properly, fully, and equitably by eliminating the duplicative and unnecessary layer of county government nationwide and repurposing those tax dollars while implementing economies of scale to achieve allocative efficiency.

The concept of school turnaround-rapidly improving schools and increasing student achievement outcomes in a short period of time-has become politicized despite the relative newness of the idea. Unprecedented funding levels for school improvement combined with few examples of schools substantially increasing student achievement outcomes has resulted in doubt about whether or not turnaround is achievable. Skeptics have enumerated a number of reasons to abandon school turnaround at this early juncture. This book is the first in a new series on school turnaround and reform intended to spur ongoing dialogue among and between researchers, policymakers, and practitioners on improving the lowestperforming schools and the systems in which they operate. The "turnaround challenge" remains salient regardless of what we call it. We must improve the nation's lowest-performing schools for many moral, social, and economic reasons. In this first book, education researchers and scholars have identified a number of myths that have inhibited our ability to successfully turn schools around. Our intention is not to suggest that if these myths are addressed school turnaround will always be achieved. Business and other literatures outside of education make it clear that turnaround is, at best, difficult work. However, for a number of reasons, we in education have developed policies and practices that are often antithetical to turnaround. Indeed, we are making already challenging work harder. The myths identified in this book suggest that we still struggle to define or understand what we mean by turnaround or how best, or even adequately, measure whether it has been achieved. Moreover, it is clear that there are a number of factors limiting how effectively we structure and support low-performing schools both systemically and locally. And we have done a rather poor job of effectively leveraging human resources to raise student achievement and improve organizational outcomes. We anticipate this book having wide appeal for researchers, policymakers, and practitioners in consideration of how to support these schools taking into account context, root causes of lowperformance, and the complex work to ensure their opportunity to be successful. Too frequently we have expected these schools to turn themselves around while failing to assist them with the vision and supports to realize meaningful, lasting organizational change. The myths identified and debunked in this book potentially illustrate a way forward.

The information in this book will provide board members with simple tools to become an effective member of the board, even in the first term. Board members are introduced to Values Governance (R) system that incorporates community process techniques, curricular, and instructional innovations. This new model provides greater efficiency, effectiveness, and coherence in the governance of the board. With the completion of this survival guide, the new board member is ready to join the board with some skills in hand.

Critical thinking requires a deep understanding of the topic at hand and the ability to look at content from diverse, and often unfamiliar, perspectives. Critical thinkers engage with material in innovative and creative ways to analyze, synthesize and assess it in order to reach their own informed conclusions. Developing Critical Thinking: From Theory to Classroom Practice invites readers to revisit their pedagogy to promote this type of inquiry. Scholars and practitioners from several content areas introduce several examples of instructional strategies, classroom practices, and projects at multiple grade levels. Their experiences come together to highlight practical ways to foster students' critical thinking skills and encourage them to engage in learning in new ways.

This book will serve as a "Think Button" for any educator who has ever heard a student say, "I can't think" or "I can't decide!" Fifty prompts or thinking conduits are the catalysts that will give students a chance to practice thinking. The prompts (many with option answers) are formatted as brief stories, exercises, poems, and activities and are designed so kids can use the same thinking skill sets that are essential in making everyday decisions. Whether the prompts pose silly questions, "Would you rather bathe a gorilla or take an elephant for a walk?" or practical ones, "What's the best way to express your opinion?" they are all crafted to spur children to think hard and sensibly so they can make levelheaded decisions and defend their thinking in a stress-free think forum environment. The intention is for students to take the essence of something they've learned from a prompt and adapt it, stretch it, and use it to help solve a problem or make a tough decision. Every prompt comes with guidance, explanations, and suggestions so educators can clarify why certain options or decisions are better than others, and respond to thinking choices and decisions students may have made.

This open access book focuses on both the theory and practice associated with the tools and approaches for decisionmaking in the face of deep uncertainty. It explores approaches and tools supporting the design of strategic plans under deep uncertainty, and their testing in the real world, including barriers and enablers for their use in practice. The book broadens traditional approaches and tools to include the analysis of actors and networks related to the problem at hand. It also shows how lessons learned in the application process can be used to improve the approaches and tools used in the design process. The book offers guidance in identifying and applying appropriate approaches and tools to design plans, as well as advice on implementing these plans in the real world. For decisionmakers and practitioners, the book includes realistic examples and practical guidelines that should help them understand what decisionmaking under deep uncertainty is and how it may be of assistance to them. Decision Making under Deep Uncertainty: From Theory to Practice is divided into four parts. Part I presents five approaches for designing strategic plans under deep uncertainty: Robust Decision Making, Dynamic Adaptive Planning, Dynamic Adaptive Policy Pathways, Info-Gap Decision Theory, and Engineering Options Analysis. Each approach is worked out in terms of its theoretical foundations, methodological steps to follow when using the approach, latest methodological insights, and challenges for improvement. In Part II, applications of each of these approaches are presented. Based on recent case studies, the practical implications of applying each approach are discussed in depth. Part III focuses on using the approaches and tools in real-world contexts, based on insights from real-world cases. Part IV contains conclusions and a synthesis of the lessons that can be drawn for designing, applying, and implementing strategic plans under deep uncertainty, as well as recommendations for future work. The publication of this book has been funded by the Radboud University, the RAND Corporation, Delft University of Technology, and Deltares.

Straight Choices provides a fascinating introduction to the psychology of decision making, enhanced by discussion of relevant examples of decision problems faced in everyday life. Thoroughly revised and updated throughout, this edition provides an integrative account of the psychology of decision-making and shows how psychological research can help us understand our uncertain world. The book emphasizes the relationship between learning and decision-making, arguing that the best way to understand how and why decisions are made is in the context of the learning and knowledge acquisition which precedes them, and the feedback which follows. The mechanisms of learning and the structure of environments in which decisions are made are carefully examined to explore their impact on our choices. The authors then consider whether we are all constrained to fall prey to cognitive biases, or whether, with sufficient exposure, we can find optimal decision strategies and improve our decision making. This edition highlights advances made in judgment and decision making research, with additional coverage of behavioral insights, nudging, artificial intelligence, and explanation-based decision making. Written in a non-technical manner, this book is an essential read for all students and researchers in cognitive psychology, behavioral economics, and the decision sciences, as well as anyone interested in the nature of decision making.

Existing research methods textbooks emphasize the mechanics of HOW to conduct research studies. However, many students fail to see WHY it is important to learn about research because they will never conduct research studies. These students do not become engaged in learning and believe that research courses and textbooks are useless. They do not see the need of developing "research literacy" to understand the applications and limitations of research to their daily lives. This book engages students with a nonmathematical presentation that includes real examples of the consequences of research errors in daily life. The organization facilitates learning with objectives, concepts, description of errors, best practices, and examples. This is a research methods textbook for students who fear research textbooks. The diversity of topics in this book permits application to research methods courses in these academic fields: Economics, Education, Political Science, Psychology, and Sociology. This should be the first book for all students to introduce research and develop "research literacy".

School leaders know that instructional leadership is a crucial aspect of education. However, many of those leaders lack the knowledge and credibility to lead this work. Leaders must be empowered to enter into and guide instructional conversations while building leadership capacity of their teachers in the process. It is easy for administrators to get caught up in the daily managerial tasks of running a school. Passionate educators become principals, however, to make a positive impact on the classroom opportunities and experiences of young people. Because principals may not be experts in all areas of instruction, they must develop their own skills to become genuine participants in instructional conversations. However, the task of a true leader is also to develop the leadership capacity of those around them to ensure that best practices are embraced in all classrooms. The most important and consequential work in schools is happening in the trenches. Principals must commit to join their teachers in that space. With these new skills and a renewed commitment to genuine instructional leadership, administrators can work collaboratively with teachers to transform the educational experience of all students.

Key Features Collects the ideas underpinning the AHP method and discusses them together with many improvements and extensions present in the literature. As a result, the reader will receive a much more complete picture of the method. Aimed at theorists and advanced practitioners from a wide range of scientific fields, including the social, management, and technical sciences Highlights the intuitive assumptions underlying the mathematical methods that make up AHP and the pairwise comparisons method Provides software code for readers who wish to practise AHP analysis using Wolfram Language.

Over the last three decades, higher education institutions have experienced massive changes. In particular, institutions of higher education have been positioned as a means to contribute to the knowledge economy and gain a level of competitive advantage in the global marketplace. Advancing Knowledge in Higher Education: Universities in Turbulent Times addresses ways in which knowledge is shaped, produced, and reworked to meet international demands for productive workforces. Divided into three sections that interrogate the higher education policy context, knowledge production, and knowledge workers, this reference publication focuses on the role of higher education in business value creation and competitive advantage, serving as a useful reference for academicians, professionals, researchers, and students.

The Question is the Answer is a teacher's guide to helping young readers generate text-based questions. The purpose of this book is to help teachers and parents value and promote student-generated questions to facilitate motivation, engagement, and cognitive development.

This book aims to explain Data Analytics towards decision making in terms of models and algorithms, theoretical concepts, applications, experiments in relevant domains or focused on specific issues. It explores the concepts of database technology, machine learning, knowledge-based system, high performance computing, information retrieval, finding patterns hidden in large datasets and data visualization. Also, it presents various paradigms including pattern mining, clustering, classification, and data analysis. Overall aim is to provide technical solutions in the field of data analytics and data mining. Features: Covers descriptive statistics with respect to predictive analytics and business analytics. Discusses different data analytics platforms for real-time applications. Explain SMART business models. Includes algorithms in data sciences alongwith automated methods and models. Explores varied challenges encountered by researchers and businesses in the realm of real-time analytics. This book aims at researchers and graduate students in data analytics, data sciences, data mining, and signal processing.

The Islamic revolution was a major turning point in the modern history of Iran and one of the main developments in the contemporary Middle East. Carried by a wave of popular support, the revolution represented a new political system and leadership, with a new ideology and a vision of the ideal society. It embodied a promise - and raised expectations - of a brighter future for the country and the people. Once in power, however, the revolutionary leaders were often obliged to compromise revolutionary ideology in pragmatic response to the exigencies of their situation. Yet, opinions as to the actual policy which should be implemented and to the particular fields and pace of the change have differed, often drastically, among those representing the various political trends - radicals or extremists, pragmatists or reformists, conservatives of hard-liners, as they are often depicted.

This book offers a comprehensive guide to the use of neutrosophic sets in multiple criteria decision making problems. It shows how neutrosophic sets, which have been developed as an extension of fuzzy and paraconsistent logic, can help in dealing with certain types of uncertainty that classical methods could not cope with. The chapters, written by well-known researchers, report on cutting-edge methodologies they have been developing and testing on a variety of engineering problems. The book is unique in its kind as it reports for the first time and in a comprehensive manner on the joint use of neutrosophic sets together with existing decision making methods to solve multi-criteria decision-making problems, as well as other engineering problems that are complex, hard to model and/or include incomplete and vague data. By providing new ideas, suggestions and directions for the solution of complex problems in engineering and decision making, it represents an excellent guide for researchers, lecturers and postgraduate students pursuing research on neutrosophic decision making, and more in general in the area of industrial and management engineering.

In the decades following World War II, the science of decision-making moved from the periphery to the center of transatlantic thought. The Decisionist Imagination explores how "decisionism" emerged from its origins in prewar political theory to become an object of intense social scientific inquiry in the new intellectual and institutional landscapes of the postwar era. By bringing together scholars from a wide variety of disciplines, this volume illuminates how theories of decision shaped numerous techno-scientific aspects of modern governance-helping to explain, in short, how we arrived at where we are today.

Offers a basic understanding of the issues and processes involved in decision-making Presents the tools involved in problem analysis Discusses the tools that enable developing alternatives and judgement criteria Covers tools used to normalize judgement criteria achievement so that they are comparable across measures with differing scales Explores the methods used for selecting a best alternative when multiple decision criteria are relevant requiring the elicitation of preferred information of the decision maker

Offers a basic understanding of the issues and processes involved in decision-making Presents the tools involved in problem analysis Discusses the tools that enable developing alternatives and judgement criteria Covers tools used to normalize judgement criteria achievement so that they are comparable across measures with differing scales Explores the methods used for selecting a best alternative when multiple decision criteria are relevant requiring the elicitation of preferred information of the decision maker

This volume brings together both political and educational scientists. While educational research literature has so far not systematically addressed the tool of simulations of decision-making, political scientists have hardly used insights from research on assessment or on motivation and interest of students. Almost all political science publications on simulations merely discuss how to implement the tool in class and fall short of providing evidence of the effects on student outcomes such as increased interest and performance. Combining the two disciplines is mutually enriching. Political science benefits from state of the art educational science measuring and testing of the claims made by the proponents of simulations, while educational sciences adds the systematic analysis of simulations of decision-making to their list of empirical objects, which also adds insights to the theories on the affective component of student learning. It is the explicit aim of the volume to address how simulating decision-making environments fosters learning. Implications for research and practice regarding student learning are addressed in all chapters.

Nowadays, decision problems are pervaded with incomplete knowledge, i.e., imprecision and/or uncertain information, both in the problem description and in the preferential information. In this volume leading scientists in the field address various theoretical and practical aspects related to the handling of this incompleteness. The problems discussed are taken from multi-objective linear programming, rationality considerations in preference modelling, non-probabilistic utility theory, data fusion, group decision making and multicriteria decision aid. The book is oriented towards researchers, graduate and postgraduate students in decision analysis, fuzzy sets and fuzzy logic, and operations research/management science.

The second volume of companion books on comparative student discipline identifies the best practices in dealing with student misconduct, on six continents, in a legally sound manner. It is essential for educators to examine national as well as international practices addressing student misconduct in schools because learner misbehavior often has a detrimental effect on the quality of teaching and learning in elementary and secondary schools. The countries covered are Brazil, China, Malaysia, Turkey and South Africa.

For increasingly data-savvy clients, lawyers can no longer give "it depends" answers rooted in anecdata. Clients insist that their lawyers justify their reasoning, and with more than a limited set of war stories. The considered judgment of an experienced lawyer is unquestionably valuable. However, on balance, clients would rather have the considered judgment of an experienced lawyer informed by the most relevant information required to answer their questions. Data-Driven Law: Data Analytics and the New Legal Services helps legal professionals meet the challenges posed by a data-driven approach to delivering legal services. Its chapters are written by leading experts who cover such topics as: Mining legal data Computational law Uncovering bias through the use of Big Data Quantifying the quality of legal services Data mining and decision-making Contract analytics and contract standards In addition to providing clients with data-based insight, legal firms can track a matter with data from beginning to end, from the marketing spend through to the type of matter, hours spent, billed, and collected, including metrics on profitability and success. Firms can organize and collect documents after a matter and even automate them for reuse. Data on marketing related to a matter can be an amazing source of insight about which practice areas are most profitable. Data-driven decision-making requires firms to think differently about their workflow. Most firms warehouse their files, never to be seen again after the matter closes. Running a data-driven firm requires lawyers and their teams to treat information about the work as part of the service, and to collect, standardize, and analyze matter data from cradle to grave. More than anything, using data in a law practice requires a different mindset about the value of this information. This book helps legal professionals to develop this data-driven mindset.