Artificial Intelligence in Science Education (2013-2023): Research Trends in Ten Years.

Autor/inn/en	Jia, Fenglin; Sun, Daner; Looi, Chee-Kit
Titel	Artificial Intelligence in Science Education (2013-2023): Research Trends in Ten Years.
Quelle	In: Journal of science education and technology, (2023) 33, S. 94-117Infoseite zur Zeitschrift PDF als Volltext kostenfreie Datei (1); PDF als Volltext (2) Link als defekt meldenVerfügbarkeit
Sprache	englisch
Dokumenttyp	online; gedruckt; Zeitschriftenaufsatz
ISSN	1059-0145; 1573-1839
DOI	10.1007/s10956-023-10077-6
Schlagwörter	Systematic Review; Digitale Medien; Informations- und Kommunikationstechnologie; Künstliche Intelligenz; Neue Technologien; Künstliche Intelligenz; Literaturauswertung; Trendanalyse; Naturwissenschaftliche Bildung; Naturwissenschaftliche Bildung; Wissenschaftliche Bildung; Forschungsentwicklung; Literaturauswertung; Trendanalyse
Abstract	"The use of artificial intelligence has played an important role in science teaching and learning. The purpose of this study was to fill a gap in the current review of research on AI in science education (AISE) in the early stage of education by systematically reviewing existing research in this area. (...). This review study employed a bibliometric analysis and content analysis to examine the characteristics of 76 studies on Artificial Intelligence in Science Education (AISE) indexed in Web of Science and Scopus from 2013 to 2023. The analytical tool CiteSpace was utilized for the analysis. The study aimed to provide an overview of the development level of AISE and identify major research trends, keywords, research themes, high-impact journals, institutions, countries/regions, and the impact of AISE studies. (...) This study provides valuable insights into the advancements and implications of AI in science education at the primary and secondary levels." [Abstract: Authors' information].
Erfasst von	DIPF \| Leibniz-Institut für Bildungsforschung und Bildungsinformation, Frankfurt am Main
Update	2024/1