Descrizione
This collection presents a comprehensive exploration of the evolving landscape of engineering education, particularly in light of the challenges posed by future industrial revolutions. The papers within delve into innovative approaches to collaborative learning, emphasizing the necessity for educational frameworks that foster teamwork and adaptability among engineering students.
Contributions from a diverse array of experts highlight new learning models designed to better equip students for the complexities of modern industries. The discourse in this volume advocates for the integration of intelligent systems and computing within educational practices, aiming to enhance the relevance and effectiveness of engineering training in a rapidly changing technological environment.
Contributions from a diverse array of experts highlight new learning models designed to better equip students for the complexities of modern industries. The discourse in this volume advocates for the integration of intelligent systems and computing within educational practices, aiming to enhance the relevance and effectiveness of engineering training in a rapidly changing technological environment.
Dettagli del libro
Formato
Brossura
Pagine
828 pagine
Lingua
Inglese
Pubblicato
Mar 12, 2021
Editore
Springer
ISBN-10
3030681971
ISBN-13
9783030681975