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).
