1.

Record Nr.

UNINA9910451238603321

Titolo

Baltic yearbook of international law . Vol. 3, 2003 [[electronic resource] /] / editor-in-chief, Ineta Ziemele

Pubbl/distr/stampa

Leiden, : Brill Academic Publishers, 2003

ISBN

1-280-91494-7

9786610914944

90-474-0496-3

1-4237-5542-1

Descrizione fisica

1 online resource (363 p.)

Collana

Baltic yearbook of international law

Altri autori (Persone)

ZiemeleIneta

Soggetti

International law

International law - Baltic States

War reparations

Government liability (International law)

Electronic books.

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Bibliographic Level Mode of Issuance: Monograph

Nota di bibliografia

Includes bibliographical references.



2.

Record Nr.

UNINA9910987694703321

Autore

Troussas Christos

Titolo

Human-Computer Interaction and Augmented Intelligence : The Paradigm of Interactive Machine Learning in Educational Software / / by Christos Troussas, Akrivi Krouska, Cleo Sgouropoulou

Pubbl/distr/stampa

Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025

ISBN

3-031-84453-X

Edizione

[1st ed. 2025.]

Descrizione fisica

1 online resource (XVI, 431 p. 181 illus., 35 illus. in color.)

Collana

Cognitive Systems Monographs, , 1867-4933 ; ; 34

Disciplina

006.3

Soggetti

Computational intelligence

Machine learning

Education - Data processing

Computational Intelligence

Machine Learning

Computers and Education

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

Human-Computer Interaction in EducationHuman-Computer Interaction in Education -- The Role of Augmented Intelligence and Pedagogical Theories in Digital Learning -- Teaching methods and Online Instructional Design -- Cognitive Styles as a Factor of Effective Learning.

Sommario/riassunto

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.