Artificial intelligence in education: Implications for policymakers, researchers, and practitioners

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DOI:	https://doi.org/10.1007/s10758-024-09747-0
URL:	https://link.springer.com/article/10.1007/s10758-0...
URN:	urn:nbn:de:bsz:180-madoc-672902
Document Type:	Article
Year of publication:	2024
The title of a journal, publication series:	Technology, Knowledge and Learning
Volume:	29
Issue number:	4
Page range:	1693-1710
Place of publication:	Dordrecht [u.a.]
Publishing house:	Springer Science + Business Media
ISSN:	2211-1662 , 2211-1670
Publication language:	English
Institution:	Business School > Wirtschaftspädagogik, Technologiebasiertes Instruktionsdesign (Ifenthaler 2015-)
Pre-existing license:	Creative Commons Attribution 4.0 International (CC BY 4.0)
Subject:	330 Economics 370 Education
Keywords (English):	artificial intelligence , adaptive learning , ethics , privacy , data protection , policy recommendation , algorithmic bias , stakeholders , human-AI-alliance , Delphi study

	Dieser Eintrag ist Teil der Universitätsbibliographie.
	Das Dokument wird vom Publikationsserver der Universitätsbibliothek Mannheim bereitgestellt.

BASE: Ifenthaler, Dirk ; Majumdar, Rwitajit ; Gorissen, Pierre ; Judge, Miriam ; Mishra, Shitanshu ; Raffaghelli, Juliana ; Shimada, Atsushi

Google Scholar: Ifenthaler, Dirk ; Majumdar, Rwitajit ; Gorissen, Pierre ; Judge, Miriam ; Mishra, Shitanshu ; Raffaghelli, Juliana ; Shimada, Atsushi

ORCID: Ifenthaler, Dirk

; Majumdar, Rwitajit ; Gorissen, Pierre ; Judge, Miriam ; Mishra, Shitanshu ; Raffaghelli, Juliana ; Shimada, Atsushi

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