Teaching Machine Learning in K-12 Education: Systematic Review of Scientific Literature. Master's Thesis.

Autor/in	Oyelere, Sunday Amos
Titel	Teaching Machine Learning in K-12 Education: Systematic Review of Scientific Literature. Master's Thesis.
Quelle	Joensuu: The UNIVERSITY OF EASTERN FINLAND, Faculty of Science and Forestry, Joensuu School of Computing, Computer Science (2022), 95 S. PDF als Volltext kostenfreie Datei (1); PDF als Volltext kostenfreie Datei (2); PDF als Volltext kostenfreie Datei (3) Link als defekt meldenVerfügbarkeit
Sprache	englisch
Dokumenttyp	online; Monografie
Schlagwörter	Systematic Review; Künstliche Intelligenz; Kindergarten; Schule; Lernen; Literaturanalyse; Informatikunterricht
Abstract	"This study aimed to identify the present status of K-12 machine learning education through a systematic literature review between 2011 and 2021. Data were collected from four reputable databases. (...) Most of the articles published in this field were produced between 2020 and 2021, and more conference proceeding papers were published than journals in this field. (...) the USA tops the list of authors' countries. Likewise, the high school received more attention than the other K-12 grade level. (...) This review will instigate continuous discussion and attract attention to ML K-12 education among educational researchers, practitioners, and the government." [Abstract: Author's information].
Erfasst von	DIPF \| Leibniz-Institut für Bildungsforschung und Bildungsinformation, Frankfurt am Main
Update	2024/1