Hao jiangang (26 resultados)
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Psychometric Considerations in Game-Based Assessment
Mislevy, Robert J.; Oranje, Andreas; Bauer, Malcolm I.; Von Davier, Alina; Hao, Jiangang
Idioma: Inglés
Editorial: CreateSpace Independent Publishing Platform, 2014
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EUR 28,13
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Psychometric Considerations in Game-Based Assessment
Mislevy, Robert J.; Oranje, Andreas; Bauer, Malcolm I.; Von Davier, Alina; Hao, Jiangang
Idioma: Inglés
Editorial: CreateSpace Independent Publishing Platform, 2014
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Librería: GreatBookPricesUK, Woodford Green, Reino UnidoGreatBookPricesUK
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EUR 34,46
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Psychometric Considerations in Game-Based Assessment
Mislevy, Robert J.; Oranje, Andreas; Bauer, Malcolm I.; Von Davier, Alina; Hao, Jiangang
Idioma: Inglés
Editorial: CreateSpace Independent Publishing Platform, 2014
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Psychometric Considerations in Game-Based Assessment
Mislevy, Robert J.; Oranje, Andreas; Bauer, Malcolm I.; Von Davier, Alina; Hao, Jiangang
Idioma: Inglés
Editorial: CreateSpace Independent Publishing Platform, 2014
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EUR 55,01
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Condición: New.
Idioma: Inglés
Editorial: Springer (edition 1st ed. 2021), 2021
Serie: Libro 1 de 1 - Methodology of Educational Measurement and Assessment
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Librería: BooksRun, Philadelphia, PA, Estados Unidos de AmericaBooksRun
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Hardcover. Condición: Very Good. 1st ed. 2021. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.
Computational Psychometrics - New Methodologies for a New Generation of Digital Learning and Assessment: With Examples in R and Python
von Davier, Alina A. (Edited by)/ Mislevy, Robert J. (Edited by)/ Hao, Jiangang (Edited by)
Idioma: Inglés
Editorial: Springer, 2022
Serie: Libro 1 de 1 - Methodology of Educational Measurement and Assessment
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Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books
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Hardcover. Condición: Brand New. 272 pages. 9.25x6.10x0.71 inches. In Stock.
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Idioma: Inglés
Editorial: Springer, 2022
Serie: Libro 1 de 1 - Methodology of Educational Measurement and Assessment
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Taschenbuch. Condición: Neu. Computational Psychometrics: New Methodologies for a New Generation of Digital Learning and Assessment | With Examples in R and Python | Alina A. Von Davier (u. a.) | Taschenbuch | Methodology of Educational Measurement and Assessment | x | Englisch | 2022 | Springer | EAN 9783030743963 | Verantwortl…iche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Idioma: Inglés
Editorial: Springer, 2022
Serie: Libro 1 de 1 - Methodology of Educational Measurement and Assessment
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Librería: Books Puddle, New York, NY, Estados Unidos de AmericaBooks Puddle
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Condición: New. 1st ed. 2021 edition NO-PA16APR2015-KAP.
Idioma: Inglés
Editorial: Springer, 2021
Serie: Libro 1 de 1 - Methodology of Educational Measurement and Assessment
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Condición: New. pp. 262.
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Idioma: Inglés
Editorial: Springer International Publishing, Springer Nature Switzerland, 2022
Serie: Libro 1 de 1 - Methodology of Educational Measurement and Assessment
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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EUR 171,19
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Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book defines and describes a new discipline, named 'computational psychometrics,' from the perspective of new methodologies for handling complex data from digital learning and assessment. The editors and the contributing authors discuss how ne…w technology drastically increases the possibilities for the design and administration of learning and assessment systems, and how doing so significantly increases the variety, velocity, and volume of the resulting data. Then they introduce methods and strategies to address the new challenges, ranging from evidence identification and data modeling to the assessment and prediction of learners' performance in complex settings, as in collaborative tasks, game/simulation-based tasks, and multimodal learning and assessment tasks.Computational psychometrics has thus been defined as a blend of theory-based psychometrics and data-driven approaches from machine learning, artificial intelligence, and data science. All these together provide a better methodological framework for analysing complex data from digital learning and assessments. The term 'computational' has been widely adopted by many other areas, as with computational statistics, computational linguistics, and computational economics. In those contexts, 'computational' has a meaning similar to the one proposed in this book: a data-driven and algorithm-focused perspective on foundations and theoretical approaches established previously, now extended and, when necessary, reconceived. This interdisciplinarity is already a proven success in many disciplines, from personalized medicine that uses computational statistics to personalized learning that uses, well, computational psychometrics. We expect that this volume will be of interest not just within but beyond the psychometric community.In this volume, experts in psychometrics, machine learning, artificial intelligence, data science and natural language processing illustrate their work, showing how the interdisciplinary expertise of each researcher blends into a coherent methodological framework to deal with complex data from complex virtual interfaces. In the chapters focusing on methodologies, the authors use real data examples to demonstrate how to implement the new methods in practice. The corresponding programming codes in R and Python have been included as snippets in the book and are also available in fuller form in the GitHub code repository that accompanies the book.
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Idioma: Inglés
Editorial: Springer, Springer, 2021
Serie: Libro 1 de 1 - Methodology of Educational Measurement and Assessment
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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EUR 171,19
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Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book defines and describes a new discipline, named 'computational psychometrics,' from the perspective of new methodologies for handling complex data from digital learning and assessment. The editors and the contributing authors discuss how new techn…ology drastically increases the possibilities for the design and administration of learning and assessment systems, and how doing so significantly increases the variety, velocity, and volume of the resulting data. Then they introduce methods and strategies to address the new challenges, ranging from evidence identification and data modeling to the assessment and prediction of learners' performance in complex settings, as in collaborative tasks, game/simulation-based tasks, and multimodal learning and assessment tasks.Computational psychometrics has thus been defined as a blend of theory-based psychometrics and data-driven approaches from machine learning, artificial intelligence, and data science. All these together provide a better methodological framework for analysing complex data from digital learning and assessments. The term 'computational' has been widely adopted by many other areas, as with computational statistics, computational linguistics, and computational economics. In those contexts, 'computational' has a meaning similar to the one proposed in this book: a data-driven and algorithm-focused perspective on foundations and theoretical approaches established previously, now extended and, when necessary, reconceived. This interdisciplinarity is already a proven success in many disciplines, from personalized medicine that uses computational statistics to personalized learning that uses, well, computational psychometrics. We expect that this volume will be of interest not just within but beyond the psychometric community.In this volume, experts in psychometrics, machine learning, artificial intelligence, data science and natural language processing illustrate their work, showing how the interdisciplinary expertise of each researcher blends into a coherent methodological framework to deal with complex data from complex virtual interfaces. In the chapters focusing on methodologies, the authors use real data examples to demonstrate how to implement the new methods in practice. The corresponding programming codes in R and Python have been included as snippets in the book and are also available in fuller form in the GitHub code repository that accompanies the book.
Psychometric Considerations in Game-based Assessment
Mislevy, Robert J.; Oranje, Andreas; Bauer, Malcolm I.; Von Davier, Alina; Hao, Jiangang; Corrigan, Seth; Hoffman, Erin; DiCerbo, Kristen; John, Michael
Idioma: Inglés
Editorial: CreateSpace Independent Publishing Platform, 2014
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Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books
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EUR 30,54
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Editorial: Springer, 2022
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Librería: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
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Idioma: Inglés
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Librería: Basi6 International, Irving, TX, Estados Unidos de AmericaBasi6 International
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EUR 146,06
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Condición: Brand New. New. Delivery takes 20-25 days. Print on Demand.
Idioma: Inglés
Editorial: Springer, 2021
Serie: Libro 1 de 1 - Methodology of Educational Measurement and Assessment
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Librería: Basi6 International, Irving, TX, Estados Unidos de AmericaBasi6 International
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EUR 146,06
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Condición: Brand New. New. US edition. Print on demand title. Delivery takes 20-25 days. Excellent Customer Service.
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Idioma: Inglés
Editorial: Springer International Publishing, Springer Nature Switzerland Dez 2022, 2022
Serie: Libro 1 de 1 - Methodology of Educational Measurement and Assessment
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book defines and describes a new discipline, named 'computational psychometrics,' from the perspective of new methodologies for handling complex data from digital learning and assessment. The editors and the contributing author…s discuss how new technology drastically increases the possibilities for the design and administration of learning and assessment systems, and how doing so significantly increases the variety, velocity, and volume of the resulting data. Then they introduce methods and strategies to address the new challenges, ranging from evidence identification and data modeling to the assessment and prediction of learners' performance in complex settings, as in collaborative tasks, game/simulation-based tasks, and multimodal learning and assessment tasks.Computational psychometrics has thus been defined as a blend of theory-based psychometrics and data-driven approaches from machine learning, artificial intelligence, and data science. All these together provide a better methodological framework for analysing complex data from digital learning and assessments. The term 'computational' has been widely adopted by many other areas, as with computational statistics, computational linguistics, and computational economics. In those contexts, 'computational' has a meaning similar to the one proposed in this book: a data-driven and algorithm-focused perspective on foundations and theoretical approaches established previously, now extended and, when necessary, reconceived. This interdisciplinarity is already a proven success in many disciplines, from personalized medicine that uses computational statistics to personalized learning that uses, well, computational psychometrics. We expect that this volume will be of interest not just within but beyond the psychometric community.In this volume, experts in psychometrics, machine learning, artificial intelligence, data science and natural language processing illustrate their work, showing how the interdisciplinary expertise of each researcher blends into a coherent methodological framework to deal with complex data from complex virtual interfaces. In the chapters focusing on methodologies, the authors use real data examples to demonstrate how to implement the new methods in practice. The corresponding programming codes in R and Python have been included as snippets in the book and are also available in fuller form in the GitHub code repository that accompanies the book. 272 pp. Englisch.
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Idioma: Inglés
Editorial: Springer, Berlin|Springer International Publishing|Springer, 2022
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book defines and describes a new discipline, named computational psychometrics, from the perspective of new methodologies for handling complex data from digital learning and assessment. The editors and the contri…buting authors discuss how new tech.
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Idioma: Inglés
Editorial: Springer International Publishing, Springer Nature Switzerland Dez 2021, 2021
Serie: Libro 1 de 1 - Methodology of Educational Measurement and Assessment
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.
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EUR 171,19
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Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book defines and describes a new discipline, named 'computational psychometrics,' from the perspective of new methodologies for handling complex data from digital learning and assessment. The editors and the contributing authors discu…ss how new technology drastically increases the possibilities for the design and administration of learning and assessment systems, and how doing so significantly increases the variety, velocity, and volume of the resulting data. Then they introduce methods and strategies to address the new challenges, ranging from evidence identification and data modeling to the assessment and prediction of learners' performance in complex settings, as in collaborative tasks, game/simulation-based tasks, and multimodal learning and assessment tasks.Computational psychometrics has thus been defined as a blend of theory-based psychometrics and data-driven approaches from machine learning, artificial intelligence, and data science. All these together provide a better methodological framework for analysing complex data from digital learning and assessments. The term 'computational' has been widely adopted by many other areas, as with computational statistics, computational linguistics, and computational economics. In those contexts, 'computational' has a meaning similar to the one proposed in this book: a data-driven and algorithm-focused perspective on foundations and theoretical approaches established previously, now extended and, when necessary, reconceived. This interdisciplinarity is already a proven success in many disciplines, from personalized medicine that uses computational statistics to personalized learning that uses, well, computational psychometrics. We expect that this volume will be of interest not just within but beyond the psychometric community.In this volume, experts in psychometrics, machine learning, artificial intelligence, data science and natural language processing illustrate their work, showing how the interdisciplinary expertise of each researcher blends into a coherent methodological framework to deal with complex data from complex virtual interfaces. In the chapters focusing on methodologies, the authors use real data examples to demonstrate how to implement the new methods in practice. The corresponding programming codes in R and Python have been included as snippets in the book and are also available in fuller form in the GitHub code repository that accompanies the book. 272 pp. Englisch.
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Idioma: Inglés
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Buch. Condición: Neu. Computational Psychometrics: New Methodologies for a New Generation of Digital Learning and Assessment | With Examples in R and Python | Alina A. Von Davier (u. a.) | Buch | Methodology of Educational Measurement and Assessment | X | Englisch | 2021 | Springer | EAN 9783030743932 | Verantwortliche Person fü…r die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000
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EUR 171,19
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Buch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book defines and describes a new discipline, named ¿computational psychometrics,¿ from the perspective of new methodologies for handling complex data from digital learning and assessment. The editors and the contributing authors discuss h…ow new technology drastically increases the possibilities for the design and administration of learning and assessment systems, and how doing so significantly increases the variety, velocity, and volume of the resulting data. Then they introduce methods and strategies to address the new challenges, ranging from evidence identification and data modeling to the assessment and prediction of learners¿ performance in complex settings, as in collaborative tasks, game/simulation-based tasks, and multimodal learning and assessment tasks.Computational psychometrics has thus been defined as a blend of theory-based psychometrics and data-driven approaches from machine learning, artificial intelligence, and data science. All these together provide a better methodological framework for analysing complex data from digital learning and assessments. The term ¿computational¿ has been widely adopted by many other areas, as with computational statistics, computational linguistics, and computational economics. In those contexts, ¿computational¿ has a meaning similar to the one proposed in this book: a data-driven and algorithm-focused perspective on foundations and theoretical approaches established previously, now extended and, when necessary, reconceived. This interdisciplinarity is already a proven success in many disciplines, from personalized medicine that uses computational statistics to personalized learning that uses, well, computational psychometrics. We expect that this volume will be of interest not just within but beyond the psychometric community.In this volume, experts in psychometrics, machine learning, artificial intelligence, data science and natural language processing illustrate their work, showing how the interdisciplinary expertise of each researcher blends into a coherent methodological framework to deal with complex data from complex virtual interfaces. In the chapters focusing on methodologies, the authors use real data examples to demonstrate how to implement the new methods in practice. The corresponding programming codes in R and Python have been included as snippets in the book and are also available in fuller form in the GitHub code repository that accompanies the book.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 272 pp. Englisch.
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Idioma: Inglés
Editorial: Springer, Springer Dez 2022, 2022
Serie: Libro 1 de 1 - Methodology of Educational Measurement and Assessment
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EUR 171,19
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Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book defines and describes a new discipline, named ¿computational psychometrics,¿ from the perspective of new methodologies for handling complex data from digital learning and assessment. The editors and the contributing authors di…scuss how new technology drastically increases the possibilities for the design and administration of learning and assessment systems, and how doing so significantly increases the variety, velocity, and volume of the resulting data. Then they introduce methods and strategies to address the new challenges, ranging from evidence identification and data modeling to the assessment and prediction of learners¿ performance in complex settings, as in collaborative tasks, game/simulation-based tasks, and multimodal learning and assessment tasks.Computational psychometrics has thus been defined as a blend of theory-based psychometrics and data-driven approaches from machine learning, artificial intelligence, and data science. All these together provide a better methodological framework for analysing complex data from digital learning and assessments. The term ¿computational¿ has been widely adopted by many other areas, as with computational statistics, computational linguistics, and computational economics. In those contexts, ¿computational¿ has a meaning similar to the one proposed in this book: a data-driven and algorithm-focused perspective on foundations and theoretical approaches established previously, now extended and, when necessary, reconceived. This interdisciplinarity is already a proven success in many disciplines, from personalized medicine that uses computational statistics to personalized learning that uses, well, computational psychometrics. We expect that this volume will be of interest not just within but beyond the psychometric community.In this volume, experts in psychometrics, machine learning, artificial intelligence, data science and natural language processing illustrate their work, showing how the interdisciplinary expertise of each researcher blends into a coherent methodological framework to deal with complex data from complex virtual interfaces. In the chapters focusing on methodologies, the authors use real data examples to demonstrate how to implement the new methods in practice. The corresponding programming codes in R and Python have been included as snippets in the book and are also available in fuller form in the GitHub code repository that accompanies the book.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 272 pp. Englisch.
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Serie: Libro 1 de 1 - Methodology of Educational Measurement and Assessment
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Condición: New. Print on Demand pp. 262 This item is printed on demand.
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Condición: New. PRINT ON DEMAND pp. 262.















