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). .