Artificial intelligence (AI) has rapidly reshaped research and scholarly publishing, becoming an indispensable tool for researchers, writers, and editors in areas such as verification, documentation, authorship transparency, and data governance. Yet the widespread adoption of these technologies has also introduced new forms of ethical risk across the academic publishing landscape. When used responsibly, AI is a transformative asset, capable of streamlining the research process by analyzing complex data sets, synthesizing existing literature, and providing administrative and workflow support. However, the pace of its integration has outstripped the development of standardized guidelines and clear best practices. As a result, there is an urgent need for research that equips scholars with practical, field-specific guidance for conducting rigorous, ethical, and efficient research in an AI enhanced academic environment. Such work is essential not only for preserving research integrity, but also for ensuring that AI's benefits are realized without compromising the values at the core of scholarly inquiry. Research and Scholarly Publishing in an AI-Powered Academy advances ethical and transparent AI use by providing clear standards for output verification, documentation practices, authorship attribution, and data management. The book addresses common vulnerabilities in AI assisted research by outlining repeatable, high quality control workflows. In doing so, it enhances methodological rigor, improves the reliability of literature reviews and empirical claims, and supports more efficient and trustworthy knowledge production. Covering topics such as ghost authors, contribution statements, and patchwriting, this book is an excellent academic resource for graduate and doctoral students, professors, lecturers, research-focused practitioners, writing centers, and more.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Dr. Viktor Wang, a globally recognized professor in the Department of Educational Leadership & Technology at California State University, San Bernardino, USA, stands as a trailblazer in the field of Education. With an extensive body of work that includes over 240 peer-reviewed publications, he has made significant contributions to academic scholarship while fostering the growth of students and colleagues alike. His leadership in academic publishing has inspired peers to contribute more than 200 articles to his journals and over 1,500 chapters to his books, with collaborations from prominent scholars around the world. These publications are widely respected and cataloged by esteemed institutions, including the JOHN M. PFAU LIBRARY and other top-tier university libraries globally. Dr. Wang's achievements have earned him numerous accolades, including the prestigious 2016 Presidential Award for Exceptional and Innovative Leadership from the American Association for Adult and Continuing Education, alongside several institutional honors such as the Distinguished Faculty and Scholarly Achievement Award. As a dedicated mentor, Dr. Wang has guided over 80 doctoral students through their dissertations, leaving an indelible mark on the future of education through his commitment to research, leadership, and innovation.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Vendeur : Grand Eagle Retail, Bensenville, IL, Etats-Unis
Hardcover. Etat : new. Hardcover. Artificial intelligence (AI) has rapidly reshaped research and scholarly publishing, becoming an indispensable tool for researchers, writers, and editors in areas such as verification, documentation, authorship transparency, and data governance. Yet the widespread adoption of these technologies has also introduced new forms of ethical risk across the academic publishing landscape. When used responsibly, AI is a transformative asset, capable of streamlining the research process by analyzing complex data sets, synthesizing existing literature, and providing administrative and workflow support. However, the pace of its integration has outstripped the development of standardized guidelines and clear best practices. As a result, there is an urgent need for research that equips scholars with practical, field-specific guidance for conducting rigorous, ethical, and efficient research in an AI enhanced academic environment. Such work is essential not only for preserving research integrity, but also for ensuring that AI's benefits are realized without compromising the values at the core of scholarly inquiry. Research and Scholarly Publishing in an AI-Powered Academy advances ethical and transparent AI use by providing clear standards for output verification, documentation practices, authorship attribution, and data management. The book addresses common vulnerabilities in AI assisted research by outlining repeatable, high quality control workflows. In doing so, it enhances methodological rigor, improves the reliability of literature reviews and empirical claims, and supports more efficient and trustworthy knowledge production. Covering topics such as ghost authors, contribution statements, and patchwriting, this book is an excellent academic resource for graduate and doctoral students, professors, lecturers, research-focused practitioners, writing centers, and more. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9798337393407
Quantité disponible : 1 disponible(s)
Vendeur : California Books, Miami, FL, Etats-Unis
Etat : New. N° de réf. du vendeur I-9798337393407
Quantité disponible : Plus de 20 disponibles
Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni
HRD. Etat : New. New Book. Shipped from UK. Established seller since 2000. N° de réf. du vendeur L2-9798337393407
Quantité disponible : Plus de 20 disponibles
Vendeur : CitiRetail, Stevenage, Royaume-Uni
Hardcover. Etat : new. Hardcover. Artificial intelligence (AI) has rapidly reshaped research and scholarly publishing, becoming an indispensable tool for researchers, writers, and editors in areas such as verification, documentation, authorship transparency, and data governance. Yet the widespread adoption of these technologies has also introduced new forms of ethical risk across the academic publishing landscape. When used responsibly, AI is a transformative asset, capable of streamlining the research process by analyzing complex data sets, synthesizing existing literature, and providing administrative and workflow support. However, the pace of its integration has outstripped the development of standardized guidelines and clear best practices. As a result, there is an urgent need for research that equips scholars with practical, field-specific guidance for conducting rigorous, ethical, and efficient research in an AI enhanced academic environment. Such work is essential not only for preserving research integrity, but also for ensuring that AI's benefits are realized without compromising the values at the core of scholarly inquiry. Research and Scholarly Publishing in an AI-Powered Academy advances ethical and transparent AI use by providing clear standards for output verification, documentation practices, authorship attribution, and data management. The book addresses common vulnerabilities in AI assisted research by outlining repeatable, high quality control workflows. In doing so, it enhances methodological rigor, improves the reliability of literature reviews and empirical claims, and supports more efficient and trustworthy knowledge production. Covering topics such as ghost authors, contribution statements, and patchwriting, this book is an excellent academic resource for graduate and doctoral students, professors, lecturers, research-focused practitioners, writing centers, and more. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9798337393407
Quantité disponible : 1 disponible(s)
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Buch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Artificial intelligence (AI) has rapidly reshaped research and scholarly publishing, becoming an indispensable tool for researchers, writers, and editors in areas such as verification, documentation, authorship transparency, and data governance. Yet the widespread adoption of these technologies has also introduced new forms of ethical risk across the academic publishing landscape. When used responsibly, AI is a transformative asset, capable of streamlining the research process by analyzing complex data sets, synthesizing existing literature, and providing administrative and workflow support. However, the pace of its integration has outstripped the development of standardized guidelines and clear best practices. As a result, there is an urgent need for research that equips scholars with practical, field-specific guidance for conducting rigorous, ethical, and efficient research in an AI enhanced academic environment. Such work is essential not only for preserving research integrity, but also for ensuring that AI's benefits are realized without compromising the values at the core of scholarly inquiry. Research and Scholarly Publishing in an AI-Powered Academy advances ethical and transparent AI use by providing clear standards for output verification, documentation practices, authorship attribution, and data management. The book addresses common vulnerabilities in AI assisted research by outlining repeatable, high quality control workflows. In doing so, it enhances methodological rigor, improves the reliability of literature reviews and empirical claims, and supports more efficient and trustworthy knowledge production. Covering topics such as ghost authors, contribution statements, and patchwriting, this book is an excellent academic resource for graduate and doctoral students, professors, lecturers, research-focused practitioners, writing centers, and more. N° de réf. du vendeur 9798337393407
Quantité disponible : 2 disponible(s)
Vendeur : Rarewaves.com USA, London, LONDO, Royaume-Uni
Paperback. Etat : New. N° de réf. du vendeur LU-9798337393407
Quantité disponible : Plus de 20 disponibles
Vendeur : AussieBookSeller, Truganina, VIC, Australie
Hardcover. Etat : new. Hardcover. Artificial intelligence (AI) has rapidly reshaped research and scholarly publishing, becoming an indispensable tool for researchers, writers, and editors in areas such as verification, documentation, authorship transparency, and data governance. Yet the widespread adoption of these technologies has also introduced new forms of ethical risk across the academic publishing landscape. When used responsibly, AI is a transformative asset, capable of streamlining the research process by analyzing complex data sets, synthesizing existing literature, and providing administrative and workflow support. However, the pace of its integration has outstripped the development of standardized guidelines and clear best practices. As a result, there is an urgent need for research that equips scholars with practical, field-specific guidance for conducting rigorous, ethical, and efficient research in an AI enhanced academic environment. Such work is essential not only for preserving research integrity, but also for ensuring that AI's benefits are realized without compromising the values at the core of scholarly inquiry. Research and Scholarly Publishing in an AI-Powered Academy advances ethical and transparent AI use by providing clear standards for output verification, documentation practices, authorship attribution, and data management. The book addresses common vulnerabilities in AI assisted research by outlining repeatable, high quality control workflows. In doing so, it enhances methodological rigor, improves the reliability of literature reviews and empirical claims, and supports more efficient and trustworthy knowledge production. Covering topics such as ghost authors, contribution statements, and patchwriting, this book is an excellent academic resource for graduate and doctoral students, professors, lecturers, research-focused practitioners, writing centers, and more. 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. N° de réf. du vendeur 9798337393407
Quantité disponible : 1 disponible(s)
Vendeur : Rarewaves.com UK, London, Royaume-Uni
Paperback. Etat : New. N° de réf. du vendeur LU-9798337393407
Quantité disponible : Plus de 20 disponibles
Vendeur : preigu, Osnabrück, Allemagne
Buch. Etat : Neu. Research and Scholarly Publishing in an AI-Powered Academy | Viktor Wang | Buch | Englisch | 2026 | IGI GLOBAL SCIENTIFIC PUBLISHING | EAN 9798337393407 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. N° de réf. du vendeur 134912157
Quantité disponible : 5 disponible(s)