Efthymia petridou (3 Ergebnisse)

- Softcover
Anbieter: Revaluation Books, Exeter, Vereinigtes KönigreichRevaluation Books
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 150,22
EUR 11,68 VersandVersand von Vereinigtes Königreich nach USAAnzahl: 1 verfügbar
Paperback. Zustand: Brand New. 243 pages. 5.83x0.55x8.27 inches. In Stock.

- Softcover
Anbieter: preigu, Osnabrück, Deutschlandpreigu
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 95,25
EUR 70,00 VersandVersand von Deutschland nach USAAnzahl: 5 verfügbar
Taschenbuch. Zustand: Neu. Personalized Learning in Vocational and Continuing Education | Investigating Key Factors Influencing Learning Outcomes in Artificial Intelligence Within Adaptive Learning Environments | Efthymia Petridou | Taschenbuch | xxviii | Englisch | 2026 | Springer Vieweg | EAN 9783658515164 | Verantwortliche Pe…rson für die EU: Springer VS in Springer Science + Business Media, Abraham-Lincoln-Str. 46, 65189 Wiesbaden, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

- Softcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 106,99
EUR 61,61 VersandVersand von Deutschland nach USAAnzahl: 1 verfügbar
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Amid the growing significance of artificial intelligence (AI) in education and its increasing societal and economic impact on the contemporary workforce, this book examines the delivery of an AI additional qualification implemented through an adaptiv…e learning system designed to support the acquisition of AI-related knowledge and skills among learners in vocational education and training (VET) and continuing vocational education and training (CVET). At the core of the book lies the investigation of key learner characteristics and system features that contribute to enhancing AI learning outcomes. Drawing on a quasi-experimental research design, data from 222 participants were gathered over two school years. Self-reported questionnaires administered in standardized online surveys captured learners perceptions throughout the AI course. Statistical analyses in R provide empirical support for the effectiveness of learners prior AI knowledge and the system s individualized and adaptive features in improving AI learning outcomes. Nevertheless, the study reveals that learners experience with digital learning applications has no significant influence. In addition, the analysis of AI learning outcomes across learning style groups yields no conclusive support on the effect of learning preferences on cognitive achievements within adaptive learning environments. The findings provide implications for researchers, stakeholders in VET and CVET, and developers of adaptive learning systems.