Reimagining Transformative Educational Spaces

Technological Synergy for Future Education

Mustafa Klufallah (Hrsg.), Caleb Chidozie Chinedu (Hrsg.), Bosede Iyiade Edwards (Hrsg.), Bruno Lot Tanko (Hrsg.), Hassan Abuhassna (Hrsg.)

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ca. 171,19

Springer Nature Singapore img Link Publisher

Geisteswissenschaften, Kunst, Musik / Schulpädagogik, Didaktik, Methodik

Beschreibung

This book explores the symbiotic relationship between human learning and machine learning, examining how emerging technologies and human–machine interfaces are reshaping the educational landscape. Organized into four sections with 20 chapters, it provides a multidisciplinary perspective on the dynamic intersection of these twin concepts. Bridging theory and practical implementation, the book goes beyond theoretical foundations, offering actionable strategies for educators, policymakers, and institutions to harness the transformative power of technology enhanced learning. This book showcases the impact of these innovations on human learning and machine learning, which is particularly relevant for developing and transition nations. Enriched with case studies, empirical research, and data-driven insights, it serves as a comprehensive guide for understanding and navigating the evolving landscape where human learning and machine learning converge.

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Mobile Learning Strategies in Gaza, Decision-Making Platforms in Business Education, Wearable Technologies for Athletic Training, Technology Integration in Teacher Education, Industry-Academia Collaboration for Student Success, Human-Machine Interfaces in Education, Educational Innovations in Nigeria, Data Analytics in Vocational Training, Multicultural Special Needs Education, IoT in Engineering Curricula, Intelligent Sign Language Education, Data-Driven Learning Environments, Inclusive Education in the UK, Virtual Workshops in Vocational Education