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Ramon Mayor Martins; Christiane G. Von Wangenheim; Marcelo F. Rauber; Adriano F. Borgatto; Jean C. R. Hauck – ACM Transactions on Computing Education, 2024
As Machine Learning (ML) becomes increasingly integrated into our daily lives, it is essential to teach ML to young people from an early age including also students from a low socioeconomic status (SES) background. Yet, despite emerging initiatives for ML instruction in K-12, there is limited information available on the learning of students from…
Descriptors: Artificial Intelligence, Computer Science Education, Socioeconomic Status, Correlation
Moya, Jesse – AERA Online Paper Repository, 2016
This paper presents findings from analysis of two learning sites, a classroom and a community-based youth organizing group for Latino adolescents where adult "educators" attempted to promote both critical and civic development for the participating learners. By examining the two unique learning spaces with similar youth development…
Descriptors: Comparative Analysis, Classroom Environment, Community Organizations, Citizenship Education