ISBN: 9781041149019 - explainable artificial intelligence and interpretable machine learning in education: a researcher’s guide to data science (14 risultati)

Condizione: New.

Condizione: New.

Condizione: New.

Condizione: New.

Condizione: New. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 6-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.…

Hardcover. Condizione: Brand New. 264 pages. 9.18x6.12x9.21 inches. In Stock.

Hardcover. Condizione: new. Hardcover. In a rapidly evolving landscape of educational research, explainable artificial intelligence (XAI) and interpretable machine learning (IML) are emerging as pivotal tools that enhance transparency, efficiency, and innovation. This book serves as a comprehensive guide to understanding and leveraging these technologies to transform teaching, learning, and research practices. It aims to bridge the gap between complex technological advancements and practical educational applications. It delves into how XAI and IML can be harnessed to analyze vast educational datasets, assess student performance, and design adaptive learning environments, all while ensuring the interpretability and ethical deployment of AI systems. Through a blend of theoretical insights and real-world examples, the book explores topics such as the foundations of XAI, the development of IML algorithms for education, and the ethical implications of data-driven decision-making. A unique feature of this volume is its interdisciplinary approach, combining perspectives from educators, researchers, and data scientists. It emphasizes collaboration and encourages contributors to address emerging trends, challenges, and opportunities in the application of XAI and IML. Case studies from diverse educational contexts provide practical insights and inspire innovative solutions to pressing educational issues. The book serves as a comprehensive and definitive guide for practitioners and researchers dedicated to enhancing educational processes. Explainable AI (XAI) and interpretable machine learning are becoming essential in educational research, offering transparency and practical insight. This book provides a comprehensive guide to applying these technologies to analyze data, assess learning, and design adaptive environments while maintaining ethical and interpretable AI use. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Hardcover. Condizione: new. Hardcover. In a rapidly evolving landscape of educational research, explainable artificial intelligence (XAI) and interpretable machine learning (IML) are emerging as pivotal tools that enhance transparency, efficiency, and innovation. This book serves as a comprehensive guide to understanding and leveraging these technologies to transform teaching, learning, and research practices. It aims to bridge the gap between complex technological advancements and practical educational applications. It delves into how XAI and IML can be harnessed to analyze vast educational datasets, assess student performance, and design adaptive learning environments, all while ensuring the interpretability and ethical deployment of AI systems. Through a blend of theoretical insights and real-world examples, the book explores topics such as the foundations of XAI, the development of IML algorithms for education, and the ethical implications of data-driven decision-making. A unique feature of this volume is its interdisciplinary approach, combining perspectives from educators, researchers, and data scientists. It emphasizes collaboration and encourages contributors to address emerging trends, challenges, and opportunities in the application of XAI and IML. Case studies from diverse educational contexts provide practical insights and inspire innovative solutions to pressing educational issues. The book serves as a comprehensive and definitive guide for practitioners and researchers dedicated to enhancing educational processes. Explainable AI (XAI) and interpretable machine learning are becoming essential in educational research, offering transparency and practical insight. This book provides a comprehensive guide to applying these technologies to analyze data, assess learning, and design adaptive environments while maintaining ethical and interpretable AI use. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

HRD. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

HRD. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Buch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Explainable AI (XAI) and interpretable machine learning are becoming essential in educational research, offering transparency and practical insight. This book provides a comprehensive guide to applying these technologies to analyze data, assess learning, and design adaptive environments while maintaining ethical and interpretable AI use.…

Hardcover. Condizione: new. Hardcover. In a rapidly evolving landscape of educational research, explainable artificial intelligence (XAI) and interpretable machine learning (IML) are emerging as pivotal tools that enhance transparency, efficiency, and innovation. This book serves as a comprehensive guide to understanding and leveraging these technologies to transform teaching, learning, and research practices. It aims to bridge the gap between complex technological advancements and practical educational applications. It delves into how XAI and IML can be harnessed to analyze vast educational datasets, assess student performance, and design adaptive learning environments, all while ensuring the interpretability and ethical deployment of AI systems. Through a blend of theoretical insights and real-world examples, the book explores topics such as the foundations of XAI, the development of IML algorithms for education, and the ethical implications of data-driven decision-making. A unique feature of this volume is its interdisciplinary approach, combining perspectives from educators, researchers, and data scientists. It emphasizes collaboration and encourages contributors to address emerging trends, challenges, and opportunities in the application of XAI and IML. Case studies from diverse educational contexts provide practical insights and inspire innovative solutions to pressing educational issues. The book serves as a comprehensive and definitive guide for practitioners and researchers dedicated to enhancing educational processes. Explainable AI (XAI) and interpretable machine learning are becoming essential in educational research, offering transparency and practical insight. This book provides a comprehensive guide to applying these technologies to analyze data, assess learning, and design adaptive environments while maintaining ethical and interpretable AI use. 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.…

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Myint Swe Khine has master s degrees from the University of Southern California, USA, and the University of Surrey, UK, as well as a Doctor of Education from Curtin University, Australia. He has worked at the National Institute of Education at Nan. …

Buch. Condizione: Neu. Explainable Artificial Intelligence and Interpretable Machine Learning in Education | A Researcher's Guide to Data Science | Myint Swe Khine | Buch | Einband - fest (Hardcover) | Englisch | 2026 | CRC Press | EAN 9781041149019 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. …