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Paperback. Zustand: new. Paperback. Artificial intelligence (AI) transforms e-learning through tools like personalized online learning experiences, adaptive learning systems, and intelligent tutors. AI-driven technologies adjust the content based on the individual learner's needs, enhancing engagement and learning outcomes. As these intelligent tools utilize data to gain insight into the user and user needs, it is imperative that the data be kept private. Further research is important to address issues concerning algorithmic bias impacting equality. Personalized Learning Through Adaptive Systems and Intelligent Tutoring delves into natural language processing for content generation and student feedback, as well as AI's role in enhancing learner engagement and motivation through gamification and virtual environments. It addresses future trends and innovations in AI for education, featuring case studies and contributions from researchers, educators, and platform developers. Covering topics such as recommendation systems, educational disparities, and metacognitive awareness, this book is an excellent resource for teachers, e-learning platform developers, computer scientists, professionals, researchers, scholars, academicians, and more. "Through a combination of theoretical insights, practical applications, and case studies, this book examines how these technologies can transform education into a more inclusive and effective experience. It also addresses important challenges such as data privacy and accessibility, ensuring that the benefits of personalized learning are available to all"-- 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. Artificial intelligence (AI) transforms e-learning through tools like personalized online learning experiences, adaptive learning systems, and intelligent tutors. AI-driven technologies adjust the content based on the individual learner's needs, enhancing engagement and learning outcomes. As these intelligent tools utilize data to gain insight into the user and user needs, it is imperative that the data be kept private. Further research is important to address issues concerning algorithmic bias impacting equality. Personalized Learning Through Adaptive Systems and Intelligent Tutoring delves into natural language processing for content generation and student feedback, as well as AI's role in enhancing learner engagement and motivation through gamification and virtual environments. It addresses future trends and innovations in AI for education, featuring case studies and contributions from researchers, educators, and platform developers. Covering topics such as recommendation systems, educational disparities, and metacognitive awareness, this book is an excellent resource for teachers, e-learning platform developers, computer scientists, professionals, researchers, scholars, academicians, and more. "Through a combination of theoretical insights, practical applications, and case studies, this book examines how these technologies can transform education into a more inclusive and effective experience. It also addresses important challenges such as data privacy and accessibility, ensuring that the benefits of personalized learning are available to all"-- 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. Personalized Learning Through Adaptive Systems and Intelligent Tutoring | Assia Benabid (u. a.) | Taschenbuch | Englisch | 2025 | IGI Global | EAN 9798337307411 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Artificial intelligence (AI) transforms e-learning through tools like personalized online learning experiences, adaptive learning systems, and intelligent tutors. AI-driven technologies adjust the content based on the individual learner's needs, enhancing engagement and learning outcomes. As these intelligent tools utilize data to gain insight into the user and user needs, it is imperative that the data be kept private. Further research is important to address issues concerning algorithmic bias impacting equality. Personalized Learning Through Adaptive Systems and Intelligent Tutoring delves into natural language processing for content generation and student feedback, as well as AI's role in enhancing learner engagement and motivation through gamification and virtual environments. It addresses future trends and innovations in AI for education, featuring case studies and contributions from researchers, educators, and platform developers. Covering topics such as recommendation systems, educational disparities, and metacognitive awareness, this book is an excellent resource for teachers, e-learning platform developers, computer scientists, professionals, researchers, scholars, academicians, and more.

Taschenbuch. Zustand: Neu. Innovative Trends in Personalized Software Engineering and Information Systems | The Case of Intelligent and Adaptive E-learning Systems | C. Troussas (u. a.) | Taschenbuch | Englisch | 2020 | IOS Press | EAN 9781643680965 | 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. Personalized Learning Through Adaptive Systems and Intelligent Tutoring | Assia Benabid (u. a.) | Buch | Englisch | 2025 | IGI Global | EAN 9798337307404 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book, Innovative Trends in Personalized Software Engineering and Information Systems - The Case of Intelligent and Adaptive E-learning Systems, studies the development of personalized and knowledge-based systems with the purpose of developing fully-automated adaptive software, mainly focusing on enhancing digital learning.The authors cover several integral phases of software engineering and their application in the effective implementation of sophisticated learning technology systems. Systems development and systems evaluation, tailored to adaptive e-learning, are examined in depth. More specifically, intelligent and knowledge-based techniques, such as artificial neural networks, fuzzy logic, genetic algorithms, pattern recognition, learning analytics and data mining, as well as evaluation frameworks adapted to digital learning software are presented.This publication will be of interest to scientists from various disciplines, including computer science, artificial intelligence, education and psychology, and will help researchers working in computer science and engineering to build intelligent and adaptive learning technology systems by employing personalization techniques while following the basic concepts of software engineering and information systems. It will also serve as a valuable tool for junior and senior scientists, supporting their research activities in the field of personalized and knowledge-based software engineering, and instructors will be able to use the book as a guide to the effective design and development of intelligent systems in education.

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