Next-generation Ai Methodologies in Education - Rilegato

Rilegato

ISBN 13: 9798369372203

Casa editrice: Information Science Reference, 2024

Riassunto

Next-generation artificial intelligence (AI) methodologies revolutionize education landscapes, offering innovative approaches to enhance learning experiences and streamline administrative processes. These cutting-edge technologies utilize machine learning, natural language processing, and adaptive algorithms to create personalized learning environments tailored to individual student needs. By harnessing data-driven insights, educators can identify learning gaps, facilitate collaborative experiences, and foster critical thinking skills. As AI evolves, further research into its integration in education may improve academic outcomes while preparing students for digital literacy and adaptability. Next-Generation AI Methodologies in Education explores the intersection of AI and educational practices, examining how AI revolutionizes teaching methodologies in secondary schools and colleges. It investigates the emerging discipline of AI-driven education, highlighting its potential to enhance personalized learning, increase educational accessibility, and transform traditional pedagogical methods. This book covers topics such as pre-service teaching, professional development, and digital technology, and is a useful resource for computer engineers, education professionals, academicians, business owners, researchers, and scientists.

Dettagli dell'edizione

• Editore: Information Science Reference
• Data di pubblicazione: 2024
• Lingua: Inglese
• ISBN 13: 9798369372203
• Rilegatura: Copertina rigida
• Numero di pagine: 606
• Redattore: Cela Eriona, Vajjhala Narasimha Rao, Fonkam Mathias Mbu
• Contatto del produttore: non disponibile
• Persona responsabile: gpsr@libri.de; gpsr@libri.de; ; Europaallee 1; Bad Hersfeld; 36244; Germania