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Autor/inn/enXIA, Qi; Chiu, Thomas K. F.
TitelArtificial Intelligence Education and Inclusion in K-12
Quelle(2023), (16 Seiten)
PDF als Volltext Verfügbarkeit 
Spracheenglisch
Dokumenttypgedruckt; online; Monographie
SchlagwörterArtificial Intelligence; Learning Motivation; Teaching Methods; Academic Achievement; High Achievement; Low Achievement; Comparative Analysis; Curriculum Design; Gender Differences; Grade 8; Grade 9; Student Attitudes; Outcomes of Education; Positive Attitudes; Student Diversity; Professional Autonomy; Engineering Education
AbstractArtificial intelligence (AI) education is still in the exploratory stage for K-12 schools. There is a serious lack of studies that informed schools teachers about AI curriculum design. Accordingly, this paper presented an AI curriculum and examined whether the curriculum improves students' perceived AI knowledge, attitudes, and motivation towards AI, as well as caters to students with different genders and academic achievement. It involved 64 grade 8-9 students. Results show that in the AI curriculum, 1) the students' self-report indicated that they became more competent, developed more positive attitude and higher intrinsic motivation to learn AI, 2) there were insignificant differences between girl and boys, and 3) there were almost no significant differences between high and low achieving students. (As Provided).
AnmerkungenAERA Online Paper Repository. Available from: American Educational Research Association. 1430 K Street NW Suite 1200, Washington, DC 20005. Tel: 202-238-3200; Fax: 202-238-3250; e-mail: subscriptions@aera.net; Web site: http://www.aera.net
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2024/1/01
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