À propos de l?auteur
Dr. Viktor Wang is a globally recognized professor and leader in the field of Education, with a distinguished career marked by innovation, scholarship, and mentorship. With over 260 peer-reviewed publications, he has made transformative contributions to academic research and thought leadership. His work has inspired more than 200 articles and over 1,500 book chapters contributed to his edited volumes and journals by scholars worldwide. Dr. Wang’s publications are widely respected and housed in top-tier institutions, including Stanford University Libraries and other renowned academic collections globally. He has been honored with numerous prestigious awards, including the 2016 Presidential Award for Exceptional and Innovative Leadership from the American Association for Adult and Continuing Education (AAACE), as well as institutional honors such as the Distinguished Faculty and Scholarly Achievement Award. A devoted mentor, Dr. Wang has successfully guided more than 80 doctoral students through dissertation completion. His leadership has also driven substantial institutional outcomes, including enrollment growth, the launch of innovative academic programs, and the formation of international educational partnerships. This cover story highlights ten books authored and edited by Dr. Viktor Wang, featured in the 2025 CSUSB Biennial Book Launch. Collectively, these volumes represent his enduring contributions to educational leadership, career and technical education, lifelong learning, and the transformative integration of artificial intelligence and technology in global education. The official university further showcases his recent publications and scholarly impact, reflecting a continued commitment to global scholarship, transformative research, and leadership in the field.
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Research and Scholarly Publishing in an AI-Powered Academy
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Paperback. Etat : new. Paperback. 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 9798337393414
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Paperback. Etat : new. Paperback. 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 9798337393414
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Paperback. Etat : new. Paperback. 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 9798337393414
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Taschenbuch. 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 9798337393414
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Taschenbuch. Etat : Neu. Research and Scholarly Publishing in an AI-Powered Academy | Viktor Wang | Taschenbuch | Englisch | 2026 | IGI GLOBAL SCIENTIFIC PUBLISHING | EAN 9798337393414 | 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 134912156
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