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Taschenbuch. Condición: 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.…

Buch. Condición: 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.…