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Paperback. Zustand: new. Paperback. The incorporation of AI into academia changes academic structures. From research methodologies to pedagogies and publishing, AI challenges conventional practices in knowledge acquisition, academic evaluation and production. While the applications of AI support enhanced accessibility, innovation and efficiency, there are also increasing issues and concerns regarding the ethics, values, and misuse of AI, including AI bias and regulatory gaps within academic institutions. Further exploration may reveal new strategies to successfully implement AI in education without issues of overreliance. Overdependence on AI in Academia explores the opportunities and consequences of AI integration in higher education. It examines concerns of academic freedom, equity, institutional responsibility, and the need for a human-centered approach to AI governance. This book covers topics such as curriculum development, digital literacy, and higher education, and is a useful resource for educators, computer engineers, sociologists, academicians, researchers, and scientists. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Paperback. Zustand: new. Paperback. The incorporation of AI into academia changes academic structures. From research methodologies to pedagogies and publishing, AI challenges conventional practices in knowledge acquisition, academic evaluation and production. While the applications of AI support enhanced accessibility, innovation and efficiency, there are also increasing issues and concerns regarding the ethics, values, and misuse of AI, including AI bias and regulatory gaps within academic institutions. Further exploration may reveal new strategies to successfully implement AI in education without issues of overreliance. Overdependence on AI in Academia explores the opportunities and consequences of AI integration in higher education. It examines concerns of academic freedom, equity, institutional responsibility, and the need for a human-centered approach to AI governance. This book covers topics such as curriculum development, digital literacy, and higher education, and is a useful resource for educators, computer engineers, sociologists, academicians, researchers, and scientists. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Hardcover. Zustand: new. Hardcover. The incorporation of AI into academia changes academic structures. From research methodologies to pedagogies and publishing, AI challenges conventional practices in knowledge acquisition, academic evaluation and production. While the applications of AI support enhanced accessibility, innovation and efficiency, there are also increasing issues and concerns regarding the ethics, values, and misuse of AI, including AI bias and regulatory gaps within academic institutions. Further exploration may reveal new strategies to successfully implement AI in education without issues of overreliance. Overdependence on AI in Academia explores the opportunities and consequences of AI integration in higher education. It examines concerns of academic freedom, equity, institutional responsibility, and the need for a human-centered approach to AI governance. This book covers topics such as curriculum development, digital literacy, and higher education, and is a useful resource for educators, computer engineers, sociologists, academicians, researchers, and scientists. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Paperback. Zustand: new. Paperback. The incorporation of AI into academia changes academic structures. From research methodologies to pedagogies and publishing, AI challenges conventional practices in knowledge acquisition, academic evaluation and production. While the applications of AI support enhanced accessibility, innovation and efficiency, there are also increasing issues and concerns regarding the ethics, values, and misuse of AI, including AI bias and regulatory gaps within academic institutions. Further exploration may reveal new strategies to successfully implement AI in education without issues of overreliance. Overdependence on AI in Academia explores the opportunities and consequences of AI integration in higher education. It examines concerns of academic freedom, equity, institutional responsibility, and the need for a human-centered approach to AI governance. This book covers topics such as curriculum development, digital literacy, and higher education, and is a useful resource for educators, computer engineers, sociologists, academicians, researchers, and scientists. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Hardcover. Zustand: new. Hardcover. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Taschenbuch. Zustand: Neu. Overdependence on AI in Academia | Muhammad Mooneeb Ali (u. a.) | Taschenbuch | Englisch | 2026 | IGI GLOBAL SCIENTIFIC PUBLISHING | EAN 9798337370989 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

Hardcover. Zustand: new. Hardcover. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The incorporation of AI into academia changes academic structures. From research methodologies to pedagogies and publishing, AI challenges conventional practices in knowledge acquisition, academic evaluation and production. While the applications of AI support enhanced accessibility, innovation and efficiency, there are also increasing issues and concerns regarding the ethics, values, and misuse of AI, including AI bias and regulatory gaps within academic institutions. Further exploration may reveal new strategies to successfully implement AI in education without issues of overreliance. Overdependence on AI in Academia explores the opportunities and consequences of AI integration in higher education. It examines concerns of academic freedom, equity, institutional responsibility, and the need for a human-centered approach to AI governance. This book covers topics such as curriculum development, digital literacy, and higher education, and is a useful resource for educators, computer engineers, sociologists, academicians, researchers, and scientists.

Buch. Zustand: Neu. Overdependence on AI in Academia | Muhammad Mooneeb Ali (u. a.) | Buch | Englisch | 2026 | IGI GLOBAL SCIENTIFIC PUBLISHING | EAN 9798337370972 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

Buch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The incorporation of AI into academia changes academic structures. From research methodologies to pedagogies and publishing, AI challenges conventional practices in knowledge acquisition, academic evaluation and production. While the applications of AI support enhanced accessibility, innovation and efficiency, there are also increasing issues and concerns regarding the ethics, values, and misuse of AI, including AI bias and regulatory gaps within academic institutions. Further exploration may reveal new strategies to successfully implement AI in education without issues of overreliance. Overdependence on AI in Academia explores the opportunities and consequences of AI integration in higher education. It examines concerns of academic freedom, equity, institutional responsibility, and the need for a human-centered approach to AI governance. This book covers topics such as curriculum development, digital literacy, and higher education, and is a useful resource for educators, computer engineers, sociologists, academicians, researchers, and scientists.