Digital Twin-Driven Lifelong Learning Systems (Paperback). This item is unavailable.
Language: English
Published by Igi Global Scientific Publishing, 2026
- Softcover
- New

Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
AbeBooks seller since October 12, 2005
Condition: New
£ 125.24
Item description from seller
Paperback. 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. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…
Seller Inventory # 9798260016756
- Title
- Digital Twin-Driven Lifelong Learning Systems (Paperback)
- Author
- Zornitsa Yordanova
- Publisher
- Igi Global Scientific Publishing
- Publication year
- 2026
- Condition
- new
- Binding
- Paperback
- Language
- English
- ISBN 13
- 9798260016756
"Synopsis" may belong to another edition of this title.
About the Author
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.
"About the title" may belong to another edition of this title.