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Buch, Englisch, 250 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 565 g
Buch, Englisch, 250 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 565 g
Reihe: Advances in Analytics for Learning and Teaching
ISBN: 978-3-031-14103-4
Verlag: Springer International Publishing
• 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.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
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 Subasi, Furkan Aydin, Savas Ceylan).- Chapter 10 – AI-enhanced interfaces as informal guides (Melissa Peterson).- Part II – Practices andCase 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).