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Artificial Intelligence Education in the Context of Work
Buch von Sabine Seufert (u. a.)
Sprache: Englisch

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Beschreibung
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.
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.
Über den Autor
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. Dirk's 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. Sabine's research focuses on digital competences and digital transformation in education, Artificial Intelligence in professional and vocational education.
Zusammenfassung

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

Inhaltsverzeichnis

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).

Details
Erscheinungsjahr: 2022
Fachbereich: Didaktik/Methodik/Schulpädagogik/Fachdidaktik
Genre: Erziehung & Bildung
Rubrik: Sozialwissenschaften
Medium: Buch
Reihe: Advances in Analytics for Learning and Teaching
Inhalt: xii
250 S.
30 s/w Illustr.
19 farbige Illustr.
250 p. 49 illus.
19 illus. in color.
ISBN-13: 9783031141034
ISBN-10: 3031141032
Sprache: Englisch
Ausstattung / Beilage: HC runder Rücken kaschiert
Einband: Gebunden
Redaktion: Seufert, Sabine
Ifenthaler, Dirk
Herausgeber: Dirk Ifenthaler/Sabine Seufert
Auflage: 1st ed. 2022
Hersteller: Springer International Publishing
Springer International Publishing AG
Advances in Analytics for Learning and Teaching
Maße: 241 x 160 x 20 mm
Von/Mit: Sabine Seufert (u. a.)
Erscheinungsdatum: 22.11.2022
Gewicht: 0,565 kg
Artikel-ID: 125823951
Über den Autor
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. Dirk's 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. Sabine's research focuses on digital competences and digital transformation in education, Artificial Intelligence in professional and vocational education.
Zusammenfassung

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

Inhaltsverzeichnis

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).

Details
Erscheinungsjahr: 2022
Fachbereich: Didaktik/Methodik/Schulpädagogik/Fachdidaktik
Genre: Erziehung & Bildung
Rubrik: Sozialwissenschaften
Medium: Buch
Reihe: Advances in Analytics for Learning and Teaching
Inhalt: xii
250 S.
30 s/w Illustr.
19 farbige Illustr.
250 p. 49 illus.
19 illus. in color.
ISBN-13: 9783031141034
ISBN-10: 3031141032
Sprache: Englisch
Ausstattung / Beilage: HC runder Rücken kaschiert
Einband: Gebunden
Redaktion: Seufert, Sabine
Ifenthaler, Dirk
Herausgeber: Dirk Ifenthaler/Sabine Seufert
Auflage: 1st ed. 2022
Hersteller: Springer International Publishing
Springer International Publishing AG
Advances in Analytics for Learning and Teaching
Maße: 241 x 160 x 20 mm
Von/Mit: Sabine Seufert (u. a.)
Erscheinungsdatum: 22.11.2022
Gewicht: 0,565 kg
Artikel-ID: 125823951
Warnhinweis