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.
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 Aydn, 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).
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. Dirks 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. Sabines research focuses on digital competences and digital transformation in education, Artificial Intelligence in professional and vocational education.
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