Xerri daniel (107 résultats)

hardcover. Etat : Very Good. Fast Shipping - Safe and Secure 7 days a week.

Softcover/Paperback. Etat : New. Author: Daniel Xerri Brand: ELT Council/Ministry for Education and Employment Number Of Pages: 196 Release Date: 01-01-2016 EAN: 9789995710002 Languages: English Binding: paperback Item Condition: New ISBN-13: 9789995710002 ISBN-10: 9995710005.

Hardcover. Etat : Very Good.

Etat : New. 2023. paperback. . . . . .

Etat : New. In English.

Etat : New. 2023. paperback. . . . . . Books ship from the US and Ireland.

Etat : As New. Unread book in perfect condition.

Etat : New.

Etat : New.

Etat : New.

Hardback. Etat : New. Human-AI Collaboration in Research: Practical Applications, Ethical Frameworks, and Future Directions positions human-AI collaboration (HAIC) as a defining feature of contemporary research ecosystems. The book examines the incorporation of AI across the research lifecycle, including research design, literature work, data collection and processing, analysis, interpretation, academic writing, and dissemination. It highlights the opportunities created by automation and generative systems, alongside the challenges raised for research integrity, accountability, transparency, privacy, and epistemic authority. Ethical and regulatory foundations are addressed through established frameworks such as the Belmont Report and the Declaration of Helsinki, as well as European governance instruments including the Ethics Guidelines for Trustworthy AI, the General Data Protection Regulation, and the EU Artificial Intelligence Act. By combining interdisciplinary perspectives from robotics, management research, and education, the volume translates abstract ethical principles into concrete research-relevant practices, offering a coherent and human-centred approach to trustworthy AI-supported inquiry.The book offers original, research-ready frameworks and applied guidance for responsible HAIC, combining real-world case studies with practical strategies for trustworthy AI use. It equips researchers, educators, and management scholars with tools for human oversight, transparency, bias mitigation, and accountable AI-supported workflows, ensuring scientific rigour alongside innovation. …

Etat : As New. Unread book in perfect condition.

Etat : New.

Hardback. Etat : New. Human-AI Collaboration in Research: Practical Applications, Ethical Frameworks, and Future Directions positions human-AI collaboration (HAIC) as a defining feature of contemporary research ecosystems. The book examines the incorporation of AI across the research lifecycle, including research design, literature work, data collection and processing, analysis, interpretation, academic writing, and dissemination. It highlights the opportunities created by automation and generative systems, alongside the challenges raised for research integrity, accountability, transparency, privacy, and epistemic authority. Ethical and regulatory foundations are addressed through established frameworks such as the Belmont Report and the Declaration of Helsinki, as well as European governance instruments including the Ethics Guidelines for Trustworthy AI, the General Data Protection Regulation, and the EU Artificial Intelligence Act. By combining interdisciplinary perspectives from robotics, management research, and education, the volume translates abstract ethical principles into concrete research-relevant practices, offering a coherent and human-centred approach to trustworthy AI-supported inquiry.The book offers original, research-ready frameworks and applied guidance for responsible HAIC, combining real-world case studies with practical strategies for trustworthy AI use. It equips researchers, educators, and management scholars with tools for human oversight, transparency, bias mitigation, and accountable AI-supported workflows, ensuring scientific rigour alongside innovation. …

hardcover. Etat : Very Good.

Etat : New.

Etat : New.

Etat : New. pp. 280.

Etat : New.

Hardcover. Etat : new. Hardcover. This book shines a light on novel and less familiar domains of early English language education for children aged 3 to 12, in mainstream and out-of-school settings. Enveloping the volume is the making of creative connections to wider educational philosophies which extend beyond the confines of a narrow linguistic lens. In reconciling the theory-practice divide in English language education, each chapter presents a synthesis of research issues leading to a practical showcase of ideas. Organised in two main parts, the first focuses on innovations within classroom practice, curriculum development, and child-centred assessment, exploring areas which have either received insufficient attention and/or have been reimagined through fresh perspectives. The second part explores innovations in pre- and in-service teacher education contexts and focuses on lesser-known and/or underexplored topics, including bridging general and language education, multilingualism, in-depth learning, metacognition,and pragmatics. This is a timely publication for teacher educators and practitioners alike. This book shines a light on novel and less familiar domains of early English language education for children aged 3 to 12, in mainstream and out-of-school settings. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Hardcover. Etat : Brand New. 80 pages. 8.50x5.43x8.50 inches. In Stock.

Buch. Etat : Neu. Neuware - Human-AI Collaboration in Research: Practical Applications, Ethical Frameworks, and Future Directions positions human-AI collaboration (HAIC) as a defining feature of contemporary research ecosystems. The book examines the incorporation of AI across the research lifecycle, including research design, literature work, data collection and processing, analysis, interpretation, academic writing, and dissemination. It highlights the opportunities created by automation and generative systems, alongside the challenges raised for research integrity, accountability, transparency, privacy, and epistemic authority. Ethical and regulatory foundations are addressed through established frameworks such as the Belmont Report and the Declaration of Helsinki, as well as European governance instruments including the Ethics Guidelines for Trustworthy AI, the General Data Protection Regulation, and the EU Artificial Intelligence Act. By combining interdisciplinary perspectives from robotics, management research, and education, the volume translates abstract ethical principles into concrete research-relevant practices, offering a coherent and human-centred approach to trustworthy AI-supported inquiry.The book offers original, research-ready frameworks and applied guidance for responsible HAIC, combining real-world case studies with practical strategies for trustworthy AI use. It equips researchers, educators, and management scholars with tools for human oversight, transparency, bias mitigation, and accountable AI-supported workflows, ensuring scientific rigour alongside innovation.…

Etat : New.

Hardback. Etat : New. Human-AI Collaboration in Research: Practical Applications, Ethical Frameworks, and Future Directions positions human-AI collaboration (HAIC) as a defining feature of contemporary research ecosystems. The book examines the incorporation of AI across the research lifecycle, including research design, literature work, data collection and processing, analysis, interpretation, academic writing, and dissemination. It highlights the opportunities created by automation and generative systems, alongside the challenges raised for research integrity, accountability, transparency, privacy, and epistemic authority. Ethical and regulatory foundations are addressed through established frameworks such as the Belmont Report and the Declaration of Helsinki, as well as European governance instruments including the Ethics Guidelines for Trustworthy AI, the General Data Protection Regulation, and the EU Artificial Intelligence Act. By combining interdisciplinary perspectives from robotics, management research, and education, the volume translates abstract ethical principles into concrete research-relevant practices, offering a coherent and human-centred approach to trustworthy AI-supported inquiry.The book offers original, research-ready frameworks and applied guidance for responsible HAIC, combining real-world case studies with practical strategies for trustworthy AI use. It equips researchers, educators, and management scholars with tools for human oversight, transparency, bias mitigation, and accountable AI-supported workflows, ensuring scientific rigour alongside innovation. …

Etat : New.

Etat : As New. Unread book in perfect condition.

Etat : New. In English.

Etat : New.

Etat : As New. Unread book in perfect condition.

Etat : As New. Unread book in perfect condition.