Synopsis
As AI continues to reshape higher education, its integration into the learning process transforms how institutions approach accreditation. AI tools can enhance the measurement, analysis, and improvement of student learning outcomes, offering deeper insights and more efficient evaluation methods. Accrediting bodies face the challenge of ensuring that these technologies are applied ethically and in alignment with educational standards. Enabling institutions to leverage AI's potential while upholding integrity and rigor that accreditation demands. Accreditation at the Intersection of AI and Assurance of Learning explores the intersection of AI in business education. This book aims to bridge the gap between educational technology and accreditation demands. Covering topics such as AI, business education, and learning outcomes, this book is an excellent resource for leading scholars, practitioners, and accreditation experts
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About the Authors
Muhammad Asif is PhD in HRM and he is Associate Professor at Mohammad Ali Jinnah University, Karachi, Pakistan.
Zahid Hussain currently in his postgraduate degree in Marketing from Khadim Hussain Shah Institute of Technology, Karachi, Pakistan (KASBIT). He has done several research publications, conference papers and book chapters related Marketing, Food Marketing, Metaverse Marketing, Customer Satisfaction and Artificial Intelligence in marketing related fields in different impact factor journals at national and international level.
Hind Hammouch is a researcher with a PhD in economics and management, working as professor at Institute for Training in ICT Offshoring and Audiovisual Professions. Also, honorary Professor in Faculty of Legal, Economic, and Social Sciences (Fez). Specializing in sustainability, sustainable development, CSR (corporate social responsibility) and management control. Extensive experience in empirical research, quantitative analysis and the development of frameworks for integrating sustainability into organizational practices. Proven record of accomplishment in publishing research results and contributing to the advancement of knowledge in sustainability and management control and many more.
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Hardcover. Condition: new. Hardcover. As AI continues to reshape higher education, its integration into the learning process transforms how institutions approach accreditation. AI tools can enhance the measurement, analysis, and improvement of student learning outcomes, offering deeper insights and more efficient evaluation methods. Accrediting bodies face the challenge of ensuring that these technologies are applied ethically and in alignment with educational standards. Enabling institutions to leverage AI's potential while upholding integrity and rigor that accreditation demands. Accreditation at the Intersection of AI and Assurance of Learning explores the intersection of AI in business education. This book aims to bridge the gap between educational technology and accreditation demands. Covering topics such as AI, business education, and learning outcomes, this book is an excellent resource for leading scholars, practitioners, and accreditation experts This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9798337363653
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Hardcover. Condition: new. Hardcover. As AI continues to reshape higher education, its integration into the learning process transforms how institutions approach accreditation. AI tools can enhance the measurement, analysis, and improvement of student learning outcomes, offering deeper insights and more efficient evaluation methods. Accrediting bodies face the challenge of ensuring that these technologies are applied ethically and in alignment with educational standards. Enabling institutions to leverage AI's potential while upholding integrity and rigor that accreditation demands. Accreditation at the Intersection of AI and Assurance of Learning explores the intersection of AI in business education. This book aims to bridge the gap between educational technology and accreditation demands. Covering topics such as AI, business education, and learning outcomes, this book is an excellent resource for leading scholars, practitioners, and accreditation experts This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9798337363653
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Buch. Condition: Neu. Accreditation at the Intersection of AI and Assurance of Learning | Muhammad Asif Qureshi (u. a.) | Buch | Englisch | 2025 | IGI GLOBAL SCIENTIFIC PUBLISHING | EAN 9798337363653 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. Seller Inventory # 134395231
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Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - As AI continues to reshape higher education, its integration into the learning process transforms how institutions approach accreditation. AI tools can enhance the measurement, analysis, and improvement of student learning outcomes, offering deeper insights and more efficient evaluation methods. Accrediting bodies face the challenge of ensuring that these technologies are applied ethically and in alignment with educational standards. Enabling institutions to leverage AI's potential while upholding integrity and rigor that accreditation demands. Accreditation at the Intersection of AI and Assurance of Learning explores the intersection of AI in business education. This book aims to bridge the gap between educational technology and accreditation demands. Covering topics such as AI, business education, and learning outcomes, this book is an excellent resource for leading scholars, practitioners, and accreditation experts. Seller Inventory # 9798337363653
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