Umfang:
1 Online-Ressource(XII, 250 p. 49 illus., 19 illus. in color.)
Ausgabe:
1st ed. 2022.
ISBN:
9783031144899
Serie:
Advances in Analytics for Learning and Teaching
Inhalt:
Part I – Conceptual and Empirical Perspectives -- Chapter 1 – AI-supported systems for integrated skills-management and skills-development (Christoph Meier, Sabine Seufert) -- Chapter 2 – Four perspectives on personalized and adaptive learning environments for workplace learning (Yvonne M. Hemmler, Dirk Ifenthaler) -- Chapter 3 – Shaping AI Transformation: digital competencies and augmentation strategies of HRD professionals (Judith Spirgi, Josef Guggenmos, Sabine Seufert) -- Chapter 4 – Leveraging artificial intelligence techniques for effective scaffolding of personalized learning in workplaces (Duygu Umutlu, M. Emre Gursoy) -- Chapter 5 – Supporting stress detection via AI and non-invasive wearables in the context of work (Mariano Albaladejo-González, José A. Ruipérez-Valiente) -- Chapter 6 – Knowledge state networks for skill assessment in atomic learning (Julian Rasch, David Middelbeck) -- Chapter 7 – The engine design of electronic performance support system for employees’ training based on training need analysis (Salim Atay, Muhittin Sahin, Aysu Cetinbinici, Deniz Subası, Furkan Aydın, Savas Ceylan) -- Chapter 10 – AI-enhanced interfaces as informal guides (Melissa Peterson) -- Part II – Practices and Case Studies -- Chapter 11 – Workplace learning in and with intelligent systems (Felix Miesen, Susanne Narciss) -- Chapter 12 – Case Volkswagen Passenger Cars - Upskilling strategy for employees (Judith Spirgi, Andreas Meier) -- Chapter 13 – Not plug-and-play: successful adoption of an ai-based learning experience platform (Nadia Eggmann) -- Chapter 14 – Using AI-based Linkedin video platform for personalised learning: the case at Infineon Technologies (Judith Spirgi, Julia Tronsberg). .
Inhalt:
This edited volume remedies existing deficiencies in the literature on artificial intelligence and education in the context of work. The topics addressed by this book are: • Supporting formal and informal learning through AI • Human-machine collaboration for learning at the workplace, including the potential of human-AI interaction in professional and vocational education contexts, design, use, and evaluation of human-AI hybrid systems for learning • Intelligent and Interactive Technologies for Learning, including natural language processing and speech technologies; data mining and machine learning; knowledge representation and reasoning; semantic web technologies, chat bot-mediated learning, and conversational learning, • AI-enabled applications for skills management and personalized learning, such as AI-enabled coaching, personalized skill management, and intelligent tutoring systems. • Case studies for the implementation and use of AI-enabled learning and performance solutions, such as personal learning experience platforms, and automated performance feedback.
Weitere Ausg.:
ISBN 9783031141034
Weitere Ausg.:
ISBN 9783031143939
Weitere Ausg.:
ISBN 9783031147043
Weitere Ausg.:
Erscheint auch als Druck-Ausgabe ISBN 9783031141034
Weitere Ausg.:
Erscheint auch als Druck-Ausgabe ISBN 9783031143939
Weitere Ausg.:
Erscheint auch als Druck-Ausgabe ISBN 9783031147043
Sprache:
Englisch
Schlagwort(e):
Berufspädagogik
;
Künstliche Intelligenz
DOI:
10.1007/978-3-031-14489-9
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