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Artificial Intelligence Education in the Context of Work

Aus der Reihe Advances in Analytics for Learning and Teaching
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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

22.11.2023

Abbildungen

XII, 250 p. 49 illus., 19 illus. in color.

Herausgeber

Dirk Ifenthaler + weitere

Verlag

Springer

Seitenzahl

250

Maße (L/B/H)

23,5/15,5/1,5 cm

Gewicht

406 g

Auflage

23001 Auflage 1st edition 2022

Sprache

Englisch

ISBN

978-3-031-14393-9

Beschreibung

Portrait

Dirk Ifenthaler is Professor and Chair of Learning, Design and Technology at University of Mannheim, Germany and UNESCO Deputy Chair of Data Science in Higher Education Learning and Teaching at Curtin University, Australia. Dirk’s research focuses on the intersection of cognitive psychology, educational technology, data analytics, and organisational learning.

Sabine Seufert is Professor for Business Education and Director of the Institute for Educational Management and Educational Technologies at the University of St.Gallen. Sabine’s research focuses on digital competences and digital transformation in education, Artificial Intelligence in professional and vocational education.  

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

22.11.2023

Abbildungen

XII, 250 p. 49 illus., 19 illus. in color.

Herausgeber

Verlag

Springer

Seitenzahl

250

Maße (L/B/H)

23,5/15,5/1,5 cm

Gewicht

406 g

Auflage

23001 Auflage 1st edition 2022

Sprache

Englisch

ISBN

978-3-031-14393-9

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: GPSR Kontakt

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  • Produktbild: Artificial Intelligence Education in the Context of Work
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  • 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).