Reimagining Transformative Educational Spaces. Technological Synergy for Future Education. 1st ed. 2024.

Sonst. Personen	Edwards, Bosede Iyiade (Hrsg.); Tanko, Bruno Lot (Hrsg.); Klufallah, Mustafa (Hrsg.); Abuhassna, Hassan (Hrsg.); Chinedu, Caleb Chidozie (Hrsg.)
Titel	Reimagining Transformative Educational Spaces. Technological Synergy for Future Education. 1st ed. 2024.
Quelle	Singapore: Springer Nature Singapore (2024), IX, 374 S. PDF als Volltext Link als defekt meldenVerfügbarkeit
Reihe	Lecture Notes in Educational Technology
Beigaben	Illustrationen 99; farbige Illustrationen 67
Zusatzinformation	Verlagsangaben
Sprache	englisch
Dokumenttyp	online; gedruckt; Monografie
ISBN	978-981-97-8752-4; 9789819787517; 9789819787531; 9789819787548
DOI	10.1007/978-981-97-8752-4
Schlagwörter	Bildung; Erziehung; Didaktik; Unterrichtsmethode; Unterrichtsmedien; Unterrichtstechnologie; Unterricht; Digitalisierung; Datenverarbeitung
Abstract	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. Inhalt: Unveiling Possibilities: Challenges, Opportunities, and Implications of Human-Machine Learning in Transformative Educational Spaces -- Exploring the Impact of Immersive Virtual Reality on Microbiology Education: A Comparison of Low and High Immersion Levels -- The Impact of Mixed Reality Technology Tours on Visitor Experiences in Museum Environments: A Systematic Review -- The Power of Play: Students' Perceived Engagement and Perceived Motivation Towards Matrices Virtual Escape Room Game -- ICT Application Dynamics: In-Depth Bibliometric Exploration and Insights -- E-Learning Platform Effectiveness: Theory Integration, Educational Context, Recommendation, and Future Agenda: A Systematic Literature Review -- Transformative Trends: Augmented Reality and Multimedia Interactivity in Malaysia's digital History Education Revolution -- Exploring Emerging Trends in Adaptive Learning Environments - A Bibliometrics study using CiteSpace -- An Exploration of Postgraduate Students' Preferences for Game Mechanics In A Gamified Classroom -- Impacts of Using a 3D Role-Playing Educational Game on Student Learning Engagement in Large-size Photography Class -- A Comprehensive Bibliometric Analysis of Blended Learning in Language Education -- Unlocking India's Digital Vision: A Case Study Analysis with NVIVO -- Exploring the Impact of Advanced Technologies on Medical and Healthcare Education in Developing Regions: A Qualitative Study of Palestinian Nursing Education -- Evaluating the Efficacy of E-Learning in Iraqi Higher Education with a Focus on the TAM Model and the TPCK framework -- Enhancing Classroom Participation Among Students with Special Education Needs And Disabilities In Ibadan Through Technological Devices -- Immersion Technologies: Going Beyond Textbooks to Improve Learning in Developing Nations -- Promoting Inclusive Education in Developing Countries: Innovations and Technological Frontiers -- Navigating the Path of Successful Industry-Academia Collaboration: Strengthening Those Relationships for the Benefit of the Student -- Ethical and Responsible Generative AI Use: Perspectives from STEM and Non-STEM Educational Contexts -- Harnessing BERT for the Automation of Peer Review Process by Prediction of Recommendation Score.
Erfasst von	Universitätsbibliothek der Humboldt-Universität zu Berlin
Update	2025/3