Presents advances in artificial intelligence in the context of work

Provides deep insights using actual cases from the corporate learning world

Reveals current perspectives on designs, methods and solutions for workplace learning research

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 Subas¿, Furkan Ayd¿n, 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).