Systematic literature review on opportunities, challenges, and future research recommendations of artificial intelligence in education.

Autor/inn/en	Chiu, Thomas K.f.; Xia, Qi; Zhou, Xinyan; Chai, Ching Sing; Cheng, Miaoting
Titel	Systematic literature review on opportunities, challenges, and future research recommendations of artificial intelligence in education.
Quelle	In: Computers and education: artificial intelligence, 2023 (2023) 4, 15 S. PDF als Volltext kostenfreie Datei (1); PDF als Volltext kostenfreie Datei (2) Link als defekt meldenVerfügbarkeit
Sprache	englisch
Dokumenttyp	online; Zeitschriftenaufsatz
ISSN	2666-920X
DOI	10.1016/j.caeai.2022.100118
Schlagwörter	Bildungsforschung; Systematic Review; Bildungschance; Künstliche Intelligenz; Neue Technologien; Künstliche Intelligenz; Lernen; Bildungsforschung; Lehren; Leistungsbeurteilung; Bildungsverwaltung; Empfehlung; Bildungsverwaltung; Leistungsbeurteilung; Lernen; Lehren; Empfehlung; Herausforderung
Abstract	"Applications of artificial intelligence in education (AIEd) are emerging and are new to researchers and practitioners alike. Reviews of the relevant literature have not examined how AI technologies have been integrated into each of the four key educational domains of learning, teaching, assessment, and administration. The relationships between the technologies and learning outcomes for students and teachers have also been neglected. This systematic review study aims to understand the opportunities and challenges of AIEd by examining the literature from the last 10 years (2012-2021) using matrix coding and content analysis approaches. The results present the current focus of AIEd research by identifying 13 roles of AI technologies in the key educational domains, 7 learning outcomes of AIEd, and 10 major challenges. The review also provides suggestions for future directions of AIEd research." [Abstract: Authors' information].
Erfasst von	DIPF \| Leibniz-Institut für Bildungsforschung und Bildungsinformation, Frankfurt am Main
Update	2024/1