Education, future jobs and smart systems in the age of artificial intelligence. AI transformations in education and workforce developmentpart A.

Sonst. Personen	Lytras, Miltiadis (Hrsg.); Serban, Andreea Claudia (Hrsg.)
Titel	Education, future jobs and smart systems in the age of artificial intelligence. AI transformations in education and workforce developmentpart A.
Quelle	Bingley, U.K.: Emerald Publishing Limited (2025), 208 S. PDF als Volltext (1); PDF als Volltext (2) Link als defekt meldenVerfügbarkeit
Beigaben	Literaturangaben
Sprache	englisch
Dokumenttyp	online; gedruckt; Monografie
ISBN	978-1-83608-904-9; 978-1-83608-905-6; 978-1-83608-906-3
DOI	10.1108/9781836089049 10.1108/978-1-83608-904-9
Schlagwörter	Bildung; Künstliche Intelligenz; Digitalisierung; Beschäftigungseffekt; Bildungsinvestition; Arbeitskräfteangebot; Qualifikation; E-Learning
Abstract	In an era defined by unprecedented technological advancements, the intersection of artificial intelligence (AI) and the Smart Systems presents both challenges and opportunities. Rapid advancements in automation, machine learning, and AI-driven technologies are reshaping job roles and creating new avenues for employment. The urgency lies in equipping educators, policymakers, and industry professionals with insights to navigate this transformative period effectively. The first of two volumes, Education, Future Jobs and Smart Systems in the Age of Artificial Intelligence, Part A is a timely collected edition, emerging precisely when the ramifications of AI on the job market are becoming palpable. Each section of the work explores a unique aspect, covering the foundational role of AI as a catalyst for developing new skills and competencies. It provides insights for higher education institutions, discusses AI as a powerful tool for sharing knowledge, considers policy implications, and examines the emergence of innovative job markets. The chapters serve as a comprehensive guide for higher education stakeholders, offering actionable insights and strategies to navigate the evolving landscape of AI-influenced job markets. Authors work to bridge the gap between academic theory and real-world application, providing a roadmap for institutions to adapt curricula, teaching methodologies, and policies to meet the demands of the AI-driven future.
Erfasst von	ZBW - Leibniz-Informationszentrum Wirtschaft, Kiel
Update	2026/3