Introduces readers to the rationale and risks of using AI and big data in higher education and shares novel applications for improving educational practice.
Colleges and universities collect―and own―more data than ever before. These data can be analyzed with powerful new tools to support student learning and faculty research. Yet, big data and artificial intelligence (AI) also represent unprecedented encroachments on student privacy rights and potential for unparalleled monitoring of employee and faculty work. The Digitized Campus takes a comprehensive view of the origins and ramifications of embracing AI and big data in higher education. It addresses a timely and globally relevant topic and is accessible for readers without data science training. Chapter authors use historical, legal, philosophical, methodological, and practitioner lenses to offer insights for higher education leaders and faculty who will influence the use of artificial intelligence and big data for years to come.
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Frank Fernandez is Associate Professor of Educational Leadership and Policy Analysis at University of Wisconsin, Madison. He is coauthor, with Hilary L. Coulson and Yali Zou, of Transformational University Leadership: A Case Study for 21st Century Leaders and Aspirational Research Universities and Leadership Talks: Candid Conversations with Academic Leaders.
Neal H. Hutchens is Professor of Higher Education at the University of Kentucky. He is coauthor, with Barbara A. Lee, William A. Kaplin, and Jacob Rooksby, of The Law of Higher Education: Essentials for Legal and Administrative Practice.
Rachel Dean Divaker is a PhD candidate at the University of Florida, specializing in Higher Education Administration and Policy.
Vanessa Miller is Assistant Professor of Law at Florida International University College of Law.
Brandi Hephner LaBanc is Vice President for Student and Campus Life and Associate Professor in the Higher Education program at Old Dominion University. She is coauthor, with Frank Fernandez, Neal H. Hutchens, and Kerry Brian Melear, of The Contested Campus: Aligning Professional Values, Social Justice, and Free Speech.
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Hardback. Condición: New. Introduces readers to the rationale and risks of using AI and big data in higher education and shares novel applications for improving educational practice.Colleges and universities collect-and own-more data than ever before. These data can be analyzed with powerful new tools to support student learning and faculty research. Yet, big data and artificial intelligence (AI) also represent unprecedented encroachments on student privacy rights and potential for unparalleled monitoring of employee and faculty work. The Digitized Campus takes a comprehensive view of the origins and ramifications of embracing AI and big data in higher education. It addresses a timely and globally relevant topic and is accessible for readers without data science training. Chapter authors use historical, legal, philosophical, methodological, and practitioner lenses to offer insights for higher education leaders and faculty who will influence the use of artificial intelligence and big data for years to come. Nº de ref. del artículo: LU-9798855807684
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Hardcover. Condición: new. Hardcover. Introduces readers to the rationale and risks of using AI and big data in higher education and shares novel applications for improving educational practice.Colleges and universities collectand ownmore data than ever before. These data can be analyzed with powerful new tools to support student learning and faculty research. Yet, big data and artificial intelligence (AI) also represent unprecedented encroachments on student privacy rights and potential for unparalleled monitoring of employee and faculty work. The Digitized Campus takes a comprehensive view of the origins and ramifications of embracing AI and big data in higher education. It addresses a timely and globally relevant topic and is accessible for readers without data science training. Chapter authors use historical, legal, philosophical, methodological, and practitioner lenses to offer insights for higher education leaders and faculty who will influence the use of artificial intelligence and big data for years to come. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Nº de ref. del artículo: 9798855807684
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Buch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Introduces readers to the rationale and risks of using AI and big data in higher education and shares novel applications for improving educational practice.Colleges and universities collect-and own-more data than ever before. These data can be analyzed with powerful new tools to support student learning and faculty research. Yet, big data and artificial intelligence (AI) also represent unprecedented encroachments on student privacy rights and potential for unparalleled monitoring of employee and faculty work. The Digitized Campus takes a comprehensive view of the origins and ramifications of embracing AI and big data in higher education. It addresses a timely and globally relevant topic and is accessible for readers without data science training. Chapter authors use historical, legal, philosophical, methodological, and practitioner lenses to offer insights for higher education leaders and faculty who will influence the use of artificial intelligence and big data for years to come. Nº de ref. del artículo: 9798855807684
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Hardback. Condición: New. Introduces readers to the rationale and risks of using AI and big data in higher education and shares novel applications for improving educational practice.Colleges and universities collect-and own-more data than ever before. These data can be analyzed with powerful new tools to support student learning and faculty research. Yet, big data and artificial intelligence (AI) also represent unprecedented encroachments on student privacy rights and potential for unparalleled monitoring of employee and faculty work. The Digitized Campus takes a comprehensive view of the origins and ramifications of embracing AI and big data in higher education. It addresses a timely and globally relevant topic and is accessible for readers without data science training. Chapter authors use historical, legal, philosophical, methodological, and practitioner lenses to offer insights for higher education leaders and faculty who will influence the use of artificial intelligence and big data for years to come. Nº de ref. del artículo: LU-9798855807684
Cantidad disponible: Más de 20 disponibles