Leveraging artificial intelligence transform di kubitskey beth (17 risultati)

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  • Lingua: Inglese

    Editore: Bloomsbury Publishing Plc, New York, 2026

    9798216375173

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    EUR 33,58

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    Paperback. Condizione: new. Paperback. This book explores how emerging technologies are reshaping the landscape of higher education quality assurance. Focused on educator preparation programs (EPPs), this timely volume examines how AI tools can transform data-driven decision-making, streamline accreditation processes, and promote institutional equity and accountability.Written by accreditation experts, the book moves beyond technical explanations to address the human dimensions of AIethics, fairness, transparency, and professional judgment. Through real-world examples and research-based insights, it offers practical guidance for integrating AI responsibly into accreditation systems while maintaining the integrity of educational evaluation.From automated data analysis to predictive modeling and ethical oversight, the book highlights both the opportunities and risks of AI-driven transformation. Grounded in current scholarship and informed by decades of accreditation practice, this work invites faculty, administrators, and policymakers to imagine a future where innovation and human judgment coexist to advance continuous improvement, educational quality, and professional integrity. Leveraging Artificial Intelligence to Transform Teacher Education Accreditation provides a comprehensive framework for integrating AI into teacher education accreditation, emphasizing ethical considerations, data privacy, and continuous improvement strategies. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

  • Lingua: Inglese

    Editore: Bloomsbury Publishing Plc, US, 2026

    9798216375173

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    Da: Rarewaves.com USA, London, LONDO, Regno UnitoRarewaves.com USA

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    Paperback. Condizione: New. This book explores how emerging technologies are reshaping the landscape of higher education quality assurance. Focused on educator preparation programs (EPPs), this timely volume examines how AI tools can transform data-driven decision-making, streamline accreditation processes, and promote institutional equity and accountability.Written by accreditation experts, the book moves beyond technical explanations to address the human dimensions of AI-ethics, fairness, transparency, and professional judgment. Through real-world examples and research-based insights, it offers practical guidance for integrating AI responsibly into accreditation systems while maintaining the integrity of educational evaluation.From automated data analysis to predictive modeling and ethical oversight, the book highlights both the opportunities and risks of AI-driven transformation. Grounded in current scholarship and informed by decades of accreditation practice, this work invites faculty, administrators, and policymakers to imagine a future where innovation and human judgment coexist to advance continuous improvement, educational quality, and professional integrity.

  • Lingua: Inglese

    Editore: Bloomsbury Publishing (UK), 2026

    9798216375173

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  • Lingua: Inglese

    Editore: Bloomsbury Publishing Plc, US, 2026

    9798216375173

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    Paperback. Condizione: New. This book explores how emerging technologies are reshaping the landscape of higher education quality assurance. Focused on educator preparation programs (EPPs), this timely volume examines how AI tools can transform data-driven decision-making, streamline accreditation processes, and promote institutional equity and accountability.Written by accreditation experts, the book moves beyond technical explanations to address the human dimensions of AI-ethics, fairness, transparency, and professional judgment. Through real-world examples and research-based insights, it offers practical guidance for integrating AI responsibly into accreditation systems while maintaining the integrity of educational evaluation.From automated data analysis to predictive modeling and ethical oversight, the book highlights both the opportunities and risks of AI-driven transformation. Grounded in current scholarship and informed by decades of accreditation practice, this work invites faculty, administrators, and policymakers to imagine a future where innovation and human judgment coexist to advance continuous improvement, educational quality, and professional integrity.

  • Lingua: Inglese

    Editore: Bloomsbury Publishing Plc, New York, 2026

    9798216375173

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    Da: CitiRetail, Stevenage, Regno UnitoCitiRetail

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    EUR 32,44

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    Paperback. Condizione: new. Paperback. This book explores how emerging technologies are reshaping the landscape of higher education quality assurance. Focused on educator preparation programs (EPPs), this timely volume examines how AI tools can transform data-driven decision-making, streamline accreditation processes, and promote institutional equity and accountability.Written by accreditation experts, the book moves beyond technical explanations to address the human dimensions of AIethics, fairness, transparency, and professional judgment. Through real-world examples and research-based insights, it offers practical guidance for integrating AI responsibly into accreditation systems while maintaining the integrity of educational evaluation.From automated data analysis to predictive modeling and ethical oversight, the book highlights both the opportunities and risks of AI-driven transformation. Grounded in current scholarship and informed by decades of accreditation practice, this work invites faculty, administrators, and policymakers to imagine a future where innovation and human judgment coexist to advance continuous improvement, educational quality, and professional integrity. Leveraging Artificial Intelligence to Transform Teacher Education Accreditation provides a comprehensive framework for integrating AI into teacher education accreditation, emphasizing ethical considerations, data privacy, and continuous improvement strategies. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

  • Lingua: Inglese

    Editore: Bloomsbury Publishing Plc, US, 2026

    9798216375173

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    Da: Rarewaves USA United, HEBRON, KY, U.S.A.Rarewaves USA United

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    Paperback. Condizione: New. This book explores how emerging technologies are reshaping the landscape of higher education quality assurance. Focused on educator preparation programs (EPPs), this timely volume examines how AI tools can transform data-driven decision-making, streamline accreditation processes, and promote institutional equity and accountability.Written by accreditation experts, the book moves beyond technical explanations to address the human dimensions of AI-ethics, fairness, transparency, and professional judgment. Through real-world examples and research-based insights, it offers practical guidance for integrating AI responsibly into accreditation systems while maintaining the integrity of educational evaluation.From automated data analysis to predictive modeling and ethical oversight, the book highlights both the opportunities and risks of AI-driven transformation. Grounded in current scholarship and informed by decades of accreditation practice, this work invites faculty, administrators, and policymakers to imagine a future where innovation and human judgment coexist to advance continuous improvement, educational quality, and professional integrity.

  • Lingua: Inglese

    Editore: Bloomsbury Publishing Plc, New York, 2026

    9798216375173

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    Da: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller

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    EUR 55,63

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    Paperback. Condizione: new. Paperback. This book explores how emerging technologies are reshaping the landscape of higher education quality assurance. Focused on educator preparation programs (EPPs), this timely volume examines how AI tools can transform data-driven decision-making, streamline accreditation processes, and promote institutional equity and accountability.Written by accreditation experts, the book moves beyond technical explanations to address the human dimensions of AIethics, fairness, transparency, and professional judgment. Through real-world examples and research-based insights, it offers practical guidance for integrating AI responsibly into accreditation systems while maintaining the integrity of educational evaluation.From automated data analysis to predictive modeling and ethical oversight, the book highlights both the opportunities and risks of AI-driven transformation. Grounded in current scholarship and informed by decades of accreditation practice, this work invites faculty, administrators, and policymakers to imagine a future where innovation and human judgment coexist to advance continuous improvement, educational quality, and professional integrity. Leveraging Artificial Intelligence to Transform Teacher Education Accreditation provides a comprehensive framework for integrating AI into teacher education accreditation, emphasizing ethical considerations, data privacy, and continuous improvement strategies. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

  • Lingua: Inglese

    Editore: Bloomsbury Publishing Plc, US, 2026

    9798216375173

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    Da: Rarewaves.com UK, London, Regno UnitoRarewaves.com UK

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    EUR 31,24

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    Quantità: 4 disponibili

    Paperback. Condizione: New. This book explores how emerging technologies are reshaping the landscape of higher education quality assurance. Focused on educator preparation programs (EPPs), this timely volume examines how AI tools can transform data-driven decision-making, streamline accreditation processes, and promote institutional equity and accountability.Written by accreditation experts, the book moves beyond technical explanations to address the human dimensions of AI-ethics, fairness, transparency, and professional judgment. Through real-world examples and research-based insights, it offers practical guidance for integrating AI responsibly into accreditation systems while maintaining the integrity of educational evaluation.From automated data analysis to predictive modeling and ethical oversight, the book highlights both the opportunities and risks of AI-driven transformation. Grounded in current scholarship and informed by decades of accreditation practice, this work invites faculty, administrators, and policymakers to imagine a future where innovation and human judgment coexist to advance continuous improvement, educational quality, and professional integrity.

  • Lingua: Inglese

    Editore: Bloomsbury Publishing (UK), 2026

    9798216375210

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    HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

  • Lingua: Inglese

    Editore: Bloomsbury Publishing (UK), 2026

    9798216375210

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    Da: PBShop.store UK, Fairford, GLOS, Regno UnitoPBShop.store UK

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    HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

  • Lingua: Inglese

    Editore: Bloomsbury Publishing Plc, US, 2026

    9798216375210

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    Da: Rarewaves.com USA, London, LONDO, Regno UnitoRarewaves.com USA

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    Hardback. Condizione: New. This book explores how emerging technologies are reshaping the landscape of higher education quality assurance. Focused on educator preparation programs (EPPs), this timely volume examines how AI tools can transform data-driven decision-making, streamline accreditation processes, and promote institutional equity and accountability.Written by accreditation experts, the book moves beyond technical explanations to address the human dimensions of AI-ethics, fairness, transparency, and professional judgment. Through real-world examples and research-based insights, it offers practical guidance for integrating AI responsibly into accreditation systems while maintaining the integrity of educational evaluation.From automated data analysis to predictive modeling and ethical oversight, the book highlights both the opportunities and risks of AI-driven transformation. Grounded in current scholarship and informed by decades of accreditation practice, this work invites faculty, administrators, and policymakers to imagine a future where innovation and human judgment coexist to advance continuous improvement, educational quality, and professional integrity.

  • Lingua: Inglese

    Editore: Bloomsbury Publishing Plc, US, 2026

    9798216375210

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    Da: Rarewaves.com UK, London, Regno UnitoRarewaves.com UK

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    EUR 142,69

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    Hardback. Condizione: New. This book explores how emerging technologies are reshaping the landscape of higher education quality assurance. Focused on educator preparation programs (EPPs), this timely volume examines how AI tools can transform data-driven decision-making, streamline accreditation processes, and promote institutional equity and accountability.Written by accreditation experts, the book moves beyond technical explanations to address the human dimensions of AI-ethics, fairness, transparency, and professional judgment. Through real-world examples and research-based insights, it offers practical guidance for integrating AI responsibly into accreditation systems while maintaining the integrity of educational evaluation.From automated data analysis to predictive modeling and ethical oversight, the book highlights both the opportunities and risks of AI-driven transformation. Grounded in current scholarship and informed by decades of accreditation practice, this work invites faculty, administrators, and policymakers to imagine a future where innovation and human judgment coexist to advance continuous improvement, educational quality, and professional integrity.

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    paperback. Condizione: Fine.

  • Lingua: Inglese

    Editore: Bloomsbury Publishing Plc, New York, 2026

    9798216375210

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    EUR 155,18

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    Hardcover. Condizione: new. Hardcover. This book explores how emerging technologies are reshaping the landscape of higher education quality assurance. Focused on educator preparation programs (EPPs), this timely volume examines how AI tools can transform data-driven decision-making, streamline accreditation processes, and promote institutional equity and accountability.Written by accreditation experts, the book moves beyond technical explanations to address the human dimensions of AIethics, fairness, transparency, and professional judgment. Through real-world examples and research-based insights, it offers practical guidance for integrating AI responsibly into accreditation systems while maintaining the integrity of educational evaluation.From automated data analysis to predictive modeling and ethical oversight, the book highlights both the opportunities and risks of AI-driven transformation. Grounded in current scholarship and informed by decades of accreditation practice, this work invites faculty, administrators, and policymakers to imagine a future where innovation and human judgment coexist to advance continuous improvement, educational quality, and professional integrity. Leveraging Artificial Intelligence to Transform Teacher Education Accreditation provides a comprehensive framework for integrating AI into teacher education accreditation, emphasizing ethical considerations, data privacy, and continuous improvement strategies. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

  • Lingua: Inglese

    Editore: Bloomsbury Publishing Plc, New York, 2026

    9798216375210

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    Hardcover. Condizione: new. Hardcover. This book explores how emerging technologies are reshaping the landscape of higher education quality assurance. Focused on educator preparation programs (EPPs), this timely volume examines how AI tools can transform data-driven decision-making, streamline accreditation processes, and promote institutional equity and accountability.Written by accreditation experts, the book moves beyond technical explanations to address the human dimensions of AIethics, fairness, transparency, and professional judgment. Through real-world examples and research-based insights, it offers practical guidance for integrating AI responsibly into accreditation systems while maintaining the integrity of educational evaluation.From automated data analysis to predictive modeling and ethical oversight, the book highlights both the opportunities and risks of AI-driven transformation. Grounded in current scholarship and informed by decades of accreditation practice, this work invites faculty, administrators, and policymakers to imagine a future where innovation and human judgment coexist to advance continuous improvement, educational quality, and professional integrity. Leveraging Artificial Intelligence to Transform Teacher Education Accreditation provides a comprehensive framework for integrating AI into teacher education accreditation, emphasizing ethical considerations, data privacy, and continuous improvement strategies. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

  • Lingua: Inglese

    Editore: Bloomsbury Academic, 2026

    9798216375210

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    Buch. Condizione: Neu. Leveraging Artificial Intelligence to Transform Teacher Education Accreditation | A Framework for Innovation and Equity | Beth Kubitskey (u. a.) | Buch | Englisch | 2026 | Bloomsbury Academic | EAN 9798216375210 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

  • Lingua: Inglese

    Editore: Bloomsbury Academic, 2026

    9798216375210

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    Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH

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    EUR 260,59

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    Buch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book explores how emerging technologies are reshaping the landscape of higher education quality assurance. Focused on educator preparation programs (EPPs), this timely volume examines how AI tools can transform data-driven decision-making, streamline accreditation processes, and promote institutional equity and accountability.Written by accreditation experts, the book moves beyond technical explanations to address the human dimensions of AI-ethics, fairness, transparency, and professional judgment. Through real-world examples and research-based insights, it offers practical guidance for integrating AI responsibly into accreditation systems while maintaining the integrity of educational evaluation.From automated data analysis to predictive modeling and ethical oversight, the book highlights both the opportunities and risks of AI-driven transformation. Grounded in current scholarship and informed by decades of accreditation practice, this work invites faculty, administrators, and policymakers to imagine a future where innovation and human judgment coexist to advance continuous improvement, educational quality, and professional integrity.