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

Troussas, Christos; Krouska, Akrivi; Sgouropoulou, Cleo

Hardcover

ISBN 10: 3031844521 ISBN 13: 9783031844522

Verlag: Springer, 2025

Inhaltsangabe

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.

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Über die Autorin bzw. den Autor

Dr. Christos Papakostas is a Postdoctoral Researcher in the Department of Informatics and Computer Engineering at the University of West Attica (Greece). He received his Ph.D. from the same Department. Additionally, he holds a B.Eng. and an M.Sc. degree from the Department of Electrical and Computer Engineering at Democritus University of Thrace. During his studies and research, he has received several scholarships for his academic performance and "Best Paper" awards in international conferences on computer science topics. He has published research articles in international journals, and conferences and has served as Reviewer in the research community. His research interests include artificial intelligence, augmented reality, adaptive tutoring systems, and human-computer interaction. Dr. Christos Troussas is Assistant Professor in the Department of Informatics and Computer Engineering at the University of West Attica. He has been PostDoc Researcher in the field of Software Engineering at the same Department. He has received a PhD degree in Informatics, a MSc degree with specialization in "Intelligent Technologies of Human-Computer Interaction" and a BSc degree in Informatics from the Department of Informatics, University of Piraeus. He has participated in national and international research projects. He is Academic Editor of the journal "Advances in Human-Computer Interaction" (Hindawi). Also, he has been Editorial Board member of many other international journals, and Program Committee chair or member in many international conferences. He has published extensively in international journals, books and conference proceedings and is coauthor of two monographs in the areas of personalized software engineering and artificial intelligence in education (by Springer and IOS Press). His academic influence is indicated by thousands of citations of his work and by having received best paper awards in international conferences in the field of computer science. His current research interests are in the areas of personalized software technology, human-computer interaction and adaptive hypermedia systems. He is among the world's top 2% of scientists, according to the Stanford University ranking for the years 2020, 2021 and 2022. Additionally, he holds the position of Research Fellow at INTI International University, Malaysia. Dr. Cleo Sgouropoulou is Professor in the Department of Informatics and Computer Engineering at the University of West Attica (Greece). She has received a Diploma and Ph.D. degree from the Department of Electrical and Computer Engineering from the National Technical University of Athens (NTUA). Her research interests lie in the fields of artificial intelligence, human-computer interaction and software engineering. She has participated as a main researcher/coordinator in more than 30 related national and European-funded projects. Dr. Sgouropoulou has published more than 150 articles in internationaljournals, scientific collections and conference proceedings. She is an acting reviewer in distinguished journals and has served as General Chair, Program Chair and Steering Committee member in major international computer science conferences and participated in several Program and Organizing conference committees. Dr. Sgouropoulou has been prominently active in the area of European Learning Technologies Standardization. She has been a member of the European Standardization Committee (CEN) Workshop on Learning Technologies since 2000, and since 2007 she has been the Head of the Greek delegation of the Hellenic Organization for Standardization (ELOT) to the CEN Technical Committee 353 "ICT for Learning, Education and Training" and the coordinator of its Greek Mirror Committee TC48/WG3. As a field expert, Dr. Sgouropoulou has been appointed by CEN to contribute/coordinate several of its standardization projects on leaning objects, learning opportunities, learner mobility and learning outcomes/competen

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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.

Details zur Ausgabe

• Verlag: Springer
• Erscheinungsdatum: 2025
• Sprache: Englisch
• ISBN 10: 3031844521
• ISBN 13: 9783031844522
• Einband: Gebundene Ausgabe
• Anzahl der Seiten: 447
• Kontakt zum Hersteller: ProductSafety@springernature.com; ProductSafety@springernature.com; ; Poststr. 9; Darmstadt; 64293; Deutschland