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Author: Matthias von Davier Publisher: Springer Nature ISBN: 3030055841 Category : Education Languages : en Pages : 646
Book Description
This handbook provides an overview of major developments around diagnostic classification models (DCMs) with regard to modeling, estimation, model checking, scoring, and applications. It brings together not only the current state of the art, but also the theoretical background and models developed for diagnostic classification. The handbook also offers applications and special topics and practical guidelines how to plan and conduct research studies with the help of DCMs. Commonly used models in educational measurement and psychometrics typically assume a single latent trait or at best a small number of latent variables that are aimed at describing individual differences in observed behavior. While this allows simple rankings of test takers along one or a few dimensions, it does not provide a detailed picture of strengths and weaknesses when assessing complex cognitive skills. DCMs, on the other hand, allow the evaluation of test taker performance relative to a potentially large number of skill domains. Most diagnostic models provide a binary mastery/non-mastery classification for each of the assumed test taker attributes representing these skill domains. Attribute profiles can be used for formative decisions as well as for summative purposes, for example in a multiple cut-off procedure that requires mastery on at least a certain subset of skills. The number of DCMs discussed in the literature and applied to a variety of assessment data has been increasing over the past decades, and their appeal to researchers and practitioners alike continues to grow. These models have been used in English language assessment, international large scale assessments, and for feedback for practice exams in preparation of college admission testing, just to name a few. Nowadays, technology-based assessments provide increasingly rich data on a multitude of skills and allow collection of data with respect to multiple types of behaviors. Diagnostic models can be understood as an ideal match for these types of data collections to provide more in-depth information about test taker skills and behavioral tendencies.
Author: Matthias von Davier Publisher: Springer Nature ISBN: 3030055841 Category : Education Languages : en Pages : 646
Book Description
This handbook provides an overview of major developments around diagnostic classification models (DCMs) with regard to modeling, estimation, model checking, scoring, and applications. It brings together not only the current state of the art, but also the theoretical background and models developed for diagnostic classification. The handbook also offers applications and special topics and practical guidelines how to plan and conduct research studies with the help of DCMs. Commonly used models in educational measurement and psychometrics typically assume a single latent trait or at best a small number of latent variables that are aimed at describing individual differences in observed behavior. While this allows simple rankings of test takers along one or a few dimensions, it does not provide a detailed picture of strengths and weaknesses when assessing complex cognitive skills. DCMs, on the other hand, allow the evaluation of test taker performance relative to a potentially large number of skill domains. Most diagnostic models provide a binary mastery/non-mastery classification for each of the assumed test taker attributes representing these skill domains. Attribute profiles can be used for formative decisions as well as for summative purposes, for example in a multiple cut-off procedure that requires mastery on at least a certain subset of skills. The number of DCMs discussed in the literature and applied to a variety of assessment data has been increasing over the past decades, and their appeal to researchers and practitioners alike continues to grow. These models have been used in English language assessment, international large scale assessments, and for feedback for practice exams in preparation of college admission testing, just to name a few. Nowadays, technology-based assessments provide increasingly rich data on a multitude of skills and allow collection of data with respect to multiple types of behaviors. Diagnostic models can be understood as an ideal match for these types of data collections to provide more in-depth information about test taker skills and behavioral tendencies.
Author: Alejandro Peña-Ayala Publisher: Springer ISBN: 3319110624 Category : Technology & Engineering Languages : en Pages : 376
Book Description
This book is devoted to the Metacognition arena. It highlights works that show relevant analysis, reviews, theoretical, and methodological proposals, as well as studies, approaches, applications, and tools that shape current state, define trends and inspire future research. As a result of the revision process fourteen manuscripts were accepted and organized into five parts as follows: · Conceptual: contains conceptual works oriented to: (1) review models of strategy instruction and tailor a hybrid strategy; (2) unveil second-order judgments and define a method to assess metacognitive judgments; (3) introduces a conceptual model to describe the metacognitive activity as an autopoietic system. · Framework: offers three works concerned with: (4) stimulate metacognitive skills and self-regulatory functions; (5) evaluate metacognitive skills and self-regulated learning at problem solving; (6) deal with executive management metacognition and strategic knowledge metacognition. · Studies: reports research related to: (7) uncover how metacognitive awareness of listening strategies bias listening proficiency; (8) unveil how metacognitive skills and motivation are achieved in science informal learning; (9) tackle stress at learning by means of coping strategies. · Approaches: focus on the following targets: (10) social metacognition to support collaborative problem solving; (11) metacognitive skills to be stimulated in computer supported collaborative learning; (12) metacognitive knowledge and metacognitive experiences are essential for teaching practices. · Tools: promotes the use of intelligent tutoring systems such as: (13) BioWorld allows learners to practice medical diagnostic by providing virtual patient cases; (14) MetaHistoReasoning provides examples to learners and inquiries about the causes of historical events. This volume will be a source of interest for researchers, practitioners, professors, and postgraduate students aimed at updating their knowledge and finding targets for future work in the metacognition arena.
Author: Nick Heather Publisher: ISBN: 9780029468197 Category : Compulsive behavior Languages : en Pages : 382
Book Description
Collection of papers written by recognised experts in the field of addictive behaviour. The book presents a new approach to understanding such behaviour based on the premise that it represents a breakdown in self-regulatory processes. Includes bibliographies.
Author: Gary Alan Fine Publisher: University of Chicago Press ISBN: 022626503X Category : Social Science Languages : en Pages : 286
Book Description
A chess match seems as solitary an endeavor as there is in sports: two minds, on their own, in fierce opposition. In contrast, Gary Alan Fine argues that chess is a social duet: two players in silent dialogue who always take each other into account in their play. Surrounding that one-on-one contest is a community life that can be nearly as dramatic and intense as the across-the-board confrontation. Fine has spent years immersed in the communities of amateur and professional chess players, and with Players and Pawns he takes readers deep inside them, revealing a complex, brilliant, feisty world of commitment and conflict. Within their community, chess players find both support and challenges, all amid a shared interest in and love of the long-standing traditions of the game, traditions that help chess players build a communal identity. Full of idiosyncratic characters and dramatic gameplay, Players and Pawns is a celebration of the fascinating world of serious chess.
Author: Humberto Cervantes Publisher: Addison-Wesley Professional ISBN: 0134390830 Category : Computers Languages : en Pages : 347
Book Description
Designing Software Architectures will teach you how to design any software architecture in a systematic, predictable, repeatable, and cost-effective way. This book introduces a practical methodology for architecture design that any professional software engineer can use, provides structured methods supported by reusable chunks of design knowledge, and includes rich case studies that demonstrate how to use the methods. Using realistic examples, you’ll master the powerful new version of the proven Attribute-Driven Design (ADD) 3.0 method and will learn how to use it to address key drivers, including quality attributes, such as modifiability, usability, and availability, along with functional requirements and architectural concerns. Drawing on their extensive experience, Humberto Cervantes and Rick Kazman guide you through crafting practical designs that support the full software life cycle, from requirements to maintenance and evolution. You’ll learn how to successfully integrate design in your organizational context, and how to design systems that will be built with agile methods. Comprehensive coverage includes Understanding what architecture design involves, and where it fits in the full software development life cycle Mastering core design concepts, principles, and processes Understanding how to perform the steps of the ADD method Scaling design and analysis up or down, including design for pre-sale processes or lightweight architecture reviews Recognizing and optimizing critical relationships between analysis and design Utilizing proven, reusable design primitives and adapting them to specific problems and contexts Solving design problems in new domains, such as cloud, mobile, or big data
Author: Pat Burke Guild Publisher: ASCD ISBN: 0871203065 Category : Cognition in children Languages : en Pages : 201
Book Description
Initially published in 1985, Marching to Different Drummers was one of the first sources to pull together information on what was a newly flourishing topic in education. Now, more than a decade later, this revised and expanded edition takes a fresh look at the subject. Among the new chapters are a discussion of the importance of knowledge about students' culture, learning styles in light of recent discoveries about the functioning of the brain, and how learning styles relate to Howard Gardner's theory of multiple intelligences. Part I defines style and looks at the history of style research. Part II describes applications of style in seven areas, illustrated through the research models of Carl Jung, Herman A. Witkin, Walter Barbe and Raymond Swassing, Rita Dunn and Kenneth Dunn, Anthony Gregorc, Bernice McCarthy, and Howard Gardner. Part III identifies common questions and discusses implementation and staff development. A comprehensive annotated bibliography sets the stage for further study. Authors Pat Burke Guild and Stephen Garger have spent nearly 25 years studying styles, applying its research, teaching about styles, and listening to students and educators talk about styles. Their extensive experience in teacher education over the past decade grounds the theory in the second edition of Marching to Different Drummers with a practicality that all educators will value.
Author: Cecilia Aragon Publisher: MIT Press ISBN: 0262367599 Category : Computers Languages : en Pages : 201
Book Description
Best practices for addressing the bias and inequality that may result from the automated collection, analysis, and distribution of large datasets. Human-centered data science is a new interdisciplinary field that draws from human-computer interaction, social science, statistics, and computational techniques. This book, written by founders of the field, introduces best practices for addressing the bias and inequality that may result from the automated collection, analysis, and distribution of very large datasets. It offers a brief and accessible overview of many common statistical and algorithmic data science techniques, explains human-centered approaches to data science problems, and presents practical guidelines and real-world case studies to help readers apply these methods. The authors explain how data scientists’ choices are involved at every stage of the data science workflow—and show how a human-centered approach can enhance each one, by making the process more transparent, asking questions, and considering the social context of the data. They describe how tools from social science might be incorporated into data science practices, discuss different types of collaboration, and consider data storytelling through visualization. The book shows that data science practitioners can build rigorous and ethical algorithms and design projects that use cutting-edge computational tools and address social concerns.
Author: Rita Dunn Publisher: Jones & Bartlett Learning ISBN: 9780887377716 Category : Education Languages : en Pages : 138
Book Description
Because students learn in different ways, teachers adapt curricula to diverse learning styles. This book presents state-of-the-art research and information on how to use learning-style based instruction in teaching and professional development for nurse and allied health educators.
Author: Matthias von Davier
Author: Matthias von Davier
Author: Alejandro Peña-Ayala
Author: Nick Heather
Author: Gary Alan Fine
Author: Humberto Cervantes
Author: Pat Burke Guild
Author: Michael Gelfand
Author: D. N. Perkins
Author: Cecilia Aragon
Author: Rita Dunn