Foundations Frameworks Education (22 results)

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  • Language: English

    Published by Igi Global Scientific Publishing, 2025

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  • Language: English

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  • Language: English

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  • Language: English

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  • Language: English

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  • Language: English

    Published by Igi Global Scientific Publishing, 2025

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  • Language: English

    Published by Information Science Reference, 2025

    9798337323978

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  • Language: English

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  • Language: English

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  • Language: English

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  • Language: English

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    Taschenbuch. Condition: Neu. Foundations and Frameworks for AI in Education | Viktor Wang | Taschenbuch | Englisch | 2025 | IGI Global | EAN 9798337323985 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

  • Language: English

    Published by IGI Global, 2025

    9798337323978

    • Hardcover
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    Buch. Condition: Neu. Foundations and Frameworks for AI in Education | Viktor Wang | Buch | Englisch | 2025 | IGI Global | EAN 9798337323978 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

  • Language: English

    Published by IGI Global, 2025

    9798337323985

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    Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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    Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The integration of artificial intelligence (AI) into education reshapes how teaching, learning, and assessment are approached. AI in education uses foundational concepts from computer science, cognitive psychology, and pedagogy, personalizing learning experiences, automating administrative tasks, and providing real-time feedback. Frameworks guiding AI implementation enhance educational outcomes by making instruction more responsive and data driven. However, these frameworks must also account for ethical considerations, such as data privacy, algorithmic bias, and equitable access. By grounding AI technologies in educational theory and responsible design principles, organizations can create systems that support learners and educators in meaningful, inclusive ways. Foundations and Frameworks for AI in Education explores the transformative potential of AI in reshaping educational practices across all levels of learning. It provides a comprehensive examination of AI-driven tools and methodologies, including adaptive learning platforms, intelligent tutoring systems, and data-driven decision-making processes in education. This book covers topics such as data privacy, digital technology, and special education, and is a useful resource for educators, computer engineers, sociologists, academicians, researchers, and scientists.

  • Language: English

    Published by IGI Global, 2025

    9798337323978

    • Hardcover
    • Print on Demand

    Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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    Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The integration of artificial intelligence (AI) into education reshapes how teaching, learning, and assessment are approached. AI in education uses foundational concepts from computer science, cognitive psychology, and pedagogy, personalizing learning experiences, automating administrative tasks, and providing real-time feedback. Frameworks guiding AI implementation enhance educational outcomes by making instruction more responsive and data driven. However, these frameworks must also account for ethical considerations, such as data privacy, algorithmic bias, and equitable access. By grounding AI technologies in educational theory and responsible design principles, organizations can create systems that support learners and educators in meaningful, inclusive ways. Foundations and Frameworks for AI in Education explores the transformative potential of AI in reshaping educational practices across all levels of learning. It provides a comprehensive examination of AI-driven tools and methodologies, including adaptive learning platforms, intelligent tutoring systems, and data-driven decision-making processes in education. This book covers topics such as data privacy, digital technology, and special education, and is a useful resource for educators, computer engineers, sociologists, academicians, researchers, and scientists.