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Seufert / Ifenthaler

Artificial Intelligence Education in the Context of Work

Medium: Buch
ISBN: 978-3-031-14103-4
Verlag: Springer International Publishing
Erscheinungstermin: 22.11.2022
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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.

Produkteigenschaften

  • Artikelnummer: 9783031141034
  • Medium: Buch
  • ISBN: 978-3-031-14103-4
  • Verlag: Springer International Publishing
  • Erscheinungstermin: 22.11.2022
  • Sprache(n): Englisch
  • Auflage: 1. Auflage 2022
  • Serie: Advances in Analytics for Learning and Teaching
  • Produktform: Gebunden
  • Gewicht: 565 g
  • Seiten: 250
  • Format (B x H x T): 160 x 241 x 20 mm
  • Ausgabetyp: Kein, Unbekannt

Themen

Autoren/Hrsg.

Herausgeber

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).