Digital Twin-Driven Lifelong Learning Systems - Couverture souple

Couverture souple

ISBN 13 : 9798260016756

Editeur : Igi Global Scientific Publishing, 2026

Synopsis

As technological change reshapes learning, digital twins in education systems transform education and skill development. A digital twin, a virtual representation of a real-world entity, can model individuals' knowledge, competencies, and learning behaviors over time. By integrating data from educational platforms, workplaces, and personal goals, these systems enable personalized learning paths that adapt to an individual's progress and needs. They offer targeted recommendations, real-time feedback, and predictive insights that support continuous growth. This convergence of advanced analytics and human-centered design could make lifelong learning more responsive, efficient, and aligned with the demands of a digital economy. Digital Twin-Driven Lifelong Learning Systems introduces and develops a new paradigm in education in which the digital twin acts as the core of designing and managing lifelong learning paths. It bridges education, skills training, and the real needs of the labor market, showing how a personalized and intelligent learning ecosystem can be designed and implemented at an individual and organizational scale. This book covers topics such as education systems, personalized learning, and data governance, and is a useful resource for educators, engineers, academicians, researchers, and scientists.

A propos du livre

À propos des auteurs

Zornitsa Yordanova is Associate Professor of Business Information Systems and Innovation at the University of National and World Economy (UNWE), Sofia, Bulgaria, and guest lecturer at WU Vienna, New Bulgarian University, and CITY College (University of York Europe Campus). Her research focuses on digital transformation, innovation management, open innovation, and process automation. She is PMP® certified and also consults multinational companies on digital transformation initiatives. .

Hamed Nozari is a distinguished researcher at University of National and World Economy (UNWE), Sofia, Bulgaria, and innovator in industrial engineering, supply chain optimization, and artificial intelligence applications. Holding a Ph.D. in Industrial Engineering, he has made significant contributions to the fields of multi-objective decision-making, smart supply chains, and digital twin technologies. His research spans various interdisciplinary areas, including predictive maintenance in green supply chains, AI-driven marketing optimization, cybersecurity in smart economies, Digital twin, and autonomous AI for sustainable last-mile delivery.

Détails de l'édition

• Éditeur: Igi Global Scientific Publishing
• Date d'édition: 2026
• Langue: anglais
• ISBN 13: 9798260016756
• Reliure: Broché
• Nombre de pages: 436
• Éditeur: Yordanova Zornitsa, Nozari Hamed
• Coordonnées du fabricant: non disponible
• Personne responsable: gpsr@libri.de; gpsr@libri.de; ; Europaallee 1; Bad Hersfeld; 36244; Allemagne