Foundations and Frameworks for AI in Education - Tapa blanda

 
9798337323985: Foundations and Frameworks for AI in Education
Tapa blanda
ISBN 13: 9798337323985
Editorial: Information Science Reference, 2025

Sinopsis

The integration of artificial intelligence (AI) into education reshapes how teaching, learning, and assessment are approached. AI in education uses foundational concepts from computer science, cognitive psychology, and pedagogy, personalizing learning experiences, automating administrative tasks, and providing real-time feedback. Frameworks guiding AI implementation enhance educational outcomes by making instruction more responsive and data driven. However, these frameworks must also account for ethical considerations, such as data privacy, algorithmic bias, and equitable access. By grounding AI technologies in educational theory and responsible design principles, organizations can create systems that support learners and educators in meaningful, inclusive ways. Foundations and Frameworks for AI in Education explores the transformative potential of AI in reshaping educational practices across all levels of learning. It provides a comprehensive examination of AI-driven tools and methodologies, including adaptive learning platforms, intelligent tutoring systems, and data-driven decision-making processes in education. This book covers topics such as data privacy, digital technology, and special education, and is a useful resource for educators, computer engineers, sociologists, academicians, researchers, and scientists.

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Acerca del autor

Dr. Viktor Wang , a globally recognized professor in the Department of Educational Leadership & Technology at California State University, San Bernardino, USA, stands as a trailblazer in the field of Education. With an extensive body of work that includes over 260 peer-reviewed publications, he has made significant contributions to academic scholarship while fostering the growth of students and colleagues alike. His leadership in academic publishing has inspired peers to contribute more than 200 articles to his journals and over 1,500 chapters to his books, with collaborations from prominent scholars around the world. These publications are widely respected and cataloged by esteemed institutions, including the Stanford University Library and other top-tier university libraries globally. Dr. Wang’s achievements have earned him numerous accolades, including the prestigious 2016 Presidential Award for Exceptional and Innovative Leadership from the American Association for Adult and Continuing Education, alongside several institutional honors such as the Distinguished Faculty and Scholarly Achievement Award. As a dedicated mentor, Dr. Wang has guided over 80 doctoral students through their dissertations, leaving an indelible mark on the future of education through his commitment to research, leadership, and innovation.

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Editorial
Information Science Reference
Año de publicación
2025
Idioma
Inglés
ISBN 13 
9798337323985
Encuadernación
Tapa blanda
Número de páginas
564
Editor
Wang Viktor
Contacto del fabricante
no disponible
Persona responsable
gpsr@libri.de
gpsr@libri.de

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