Human-computer Interaction and Augmented Intelligence: The Paradigm of Interactive Machine Learning in Educational Software - Couverture rigide

Troussas, Christos ; Krouska, Akrivi ; Sgouropoulou, Cleo

9783031844522: Human-computer Interaction and Augmented Intelligence: The Paradigm of Interactive Machine Learning in Educational Software

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ISBN 10 : 3031844521 ISBN 13 : 9783031844522

Editeur : Springer International Publishing AG, 2025

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This book explores the transformative roles of human-computer interaction (HCI) and augmented intelligence (AI) in shaping intelligent systems.

Les informations fournies dans la section � Synopsis � peuvent faire r�f�rence � une autre �dition de ce titre.

�diteur: Springer International Publishing AG
Date d'�dition: 2025
Langue: anglais
ISBN 10: 3031844521
ISBN 13: 9783031844522
Reliure: Reli�
Nombre de pages: 447
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Human-Computer Interaction and Augmented Intelligence (eng)

Troussas, Christos

Edit� par Springer, 2025

ISBN 10 : 3031844521 ISBN 13 : 9783031844522

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Human-Computer Interaction and Augmented Intelligence

Christos Troussas

Edit� par Springer Nature Switzerland, Springer Nature Switzerland M�r 2025, 2025

ISBN 10 : 3031844521 ISBN 13 : 9783031844522

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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book explores the transformative roles of human-computer interaction (HCI) and augmented intelligence (AI) in shaping intelligent systems. HCI focuses on designing interactive systems that enhance human-technology relationships, while AI empowers users with adaptive, data-driven tools that complement decision-making. Together, these fields drive innovation, creating systems that are efficient, intuitive, and inclusive, addressing diverse user needs across various domains.Central to this work is the paradigm of interactive machine learning (IML), which builds on HCI and AI principles to create adaptive systems capable of evolving in real-time. The book highlights the application of IML in educational software, demonstrating how dynamic, personalized, and responsive learning environments can enhance student engagement and success. It provides detailed case studies and practical examples that showcase how IML aligns educational content, feedback, and interactions with learner behaviors and preferences. Additionally, it includes numerous Python code implementations and actionable design strategies, making these concepts accessible to practitioners and researchers alike.Key topics include leveraging cognitive and communication styles to shape adaptive systems, integrating learning models to enhance personalization, and addressing ethical considerations such as data privacy and algorithmic fairness. Readers will also discover discussions on creating personalized tutoring systems, collaborative platforms, and immersive environments that redefine educational technology.This book is a valuable resource for researchers, software developers, educators, instructional designers, and technologists at the intersection of human-computer interaction, augmented intelligence, and educational innovation. With its comprehensive framework and practical insights, it offers the tools to design adaptive, inclusive, and impactful learning systems for the future. 448 pp. Englisch. N� de r�f. du vendeur 9783031844522

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Human-Computer Interaction and Augmented Intelligence

Troussas, Christos/Krouska, Akrivi/Sgouropoulou, Cleo

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ISBN 10 : 3031844521 ISBN 13 : 9783031844522

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Human-Computer Interaction and Augmented Intelligence (Hardcover)

Christos Troussas

Edit� par Springer International Publishing AG, Cham, 2025

ISBN 10 : 3031844521 ISBN 13 : 9783031844522

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Hardcover. Etat : new. Hardcover. This book explores the transformative roles of human-computer interaction (HCI) and augmented intelligence (AI) in shaping intelligent systems. HCI focuses on designing interactive systems that enhance human-technology relationships, while AI empowers users with adaptive, data-driven tools that complement decision-making. Together, these fields drive innovation, creating systems that are efficient, intuitive, and inclusive, addressing diverse user needs across various domains.Central to this work is the paradigm of interactive machine learning (IML), which builds on HCI and AI principles to create adaptive systems capable of evolving in real-time. The book highlights the application of IML in educational software, demonstrating how dynamic, personalized, and responsive learning environments can enhance student engagement and success. It provides detailed case studies and practical examples that showcase how IML aligns educational content, feedback, and interactions with learner behaviors and preferences. Additionally, it includes numerous Python code implementations and actionable design strategies, making these concepts accessible to practitioners and researchers alike.Key topics include leveraging cognitive and communication styles to shape adaptive systems, integrating learning models to enhance personalization, and addressing ethical considerations such as data privacy and algorithmic fairness. Readers will also discover discussions on creating personalized tutoring systems, collaborative platforms, and immersive environments that redefine educational technology.This book is a valuable resource for researchers, software developers, educators, instructional designers, and technologists at the intersection of human-computer interaction, augmented intelligence, and educational innovation. With its comprehensive framework and practical insights, it offers the tools to design adaptive, inclusive, and impactful learning systems for the future. This book explores the transformative roles of human-computer interaction (HCI) and augmented intelligence (AI) in shaping intelligent systems. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N� de r�f. du vendeur 9783031844522

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Human-computer Interaction and Augmented Intelligence: The Paradigm of Interactive Machine Learning in Educational Software: 34 (Cognitive Systems Monographs, 34)

Troussas, Christos; Krouska, Akrivi; Sgouropoulou, Cleo

Edit� par Springer, 2025

ISBN 10 : 3031844521 ISBN 13 : 9783031844522

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Human-Computer Interaction and Augmented Intelligence

Christos Troussas

Edit� par Springer, Springer International Publishing M�r 2025, 2025

ISBN 10 : 3031844521 ISBN 13 : 9783031844522

Neuf Couverture rigide

impression � la demande

Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne

�valuation du vendeur 5 sur 5 �toiles

Buch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book explores the transformative roles of human-computer interaction (HCI) and augmented intelligence (AI) in shaping intelligent systems. HCI focuses on designing interactive systems that enhance human-technology relationships, while AI empowers users with adaptive, data-driven tools that complement decision-making. Together, these fields drive innovation, creating systems that are efficient, intuitive, and inclusive, addressing diverse user needs across various domains.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 448 pp. Englisch. N� de r�f. du vendeur 9783031844522

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Human-Computer Interaction and Augmented Intelligence : The Paradigm of Interactive Machine Learning in Educational Software

Christos Troussas

Edit� par Springer Nature Switzerland, Springer Nature Switzerland, 2025

ISBN 10 : 3031844521 ISBN 13 : 9783031844522

Neuf Couverture rigide

Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne

�valuation du vendeur 5 sur 5 �toiles

Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book explores the transformative roles of human-computer interaction (HCI) and augmented intelligence (AI) in shaping intelligent systems. HCI focuses on designing interactive systems that enhance human-technology relationships, while AI empowers users with adaptive, data-driven tools that complement decision-making. Together, these fields drive innovation, creating systems that are efficient, intuitive, and inclusive, addressing diverse user needs across various domains.Central to this work is the paradigm of interactive machine learning (IML), which builds on HCI and AI principles to create adaptive systems capable of evolving in real-time. The book highlights the application of IML in educational software, demonstrating how dynamic, personalized, and responsive learning environments can enhance student engagement and success. It provides detailed case studies and practical examples that showcase how IML aligns educational content, feedback, and interactions with learner behaviors and preferences. Additionally, it includes numerous Python code implementations and actionable design strategies, making these concepts accessible to practitioners and researchers alike.Key topics include leveraging cognitive and communication styles to shape adaptive systems, integrating learning models to enhance personalization, and addressing ethical considerations such as data privacy and algorithmic fairness. Readers will also discover discussions on creating personalized tutoring systems, collaborative platforms, and immersive environments that redefine educational technology.This book is a valuable resource for researchers, software developers, educators, instructional designers, and technologists at the intersection of human-computer interaction, augmented intelligence, and educational innovation. With its comprehensive framework and practical insights, it offers the tools to design adaptive, inclusive, and impactful learning systems for the future. N� de r�f. du vendeur 9783031844522

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