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Direct linkRamon 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
Dannielle P. Smith – ProQuest LLC, 2024
Teachers across the United States struggle with meeting students' needs in their classrooms amidst the growing diversity of children in their classrooms and the amplification of standardized testing. Time and again, teaching with the heart and action of inclusivity is placed on the back burner as teachers feel the pressure for students to perform…
Descriptors: Usability, Learning Processes, Teaching Methods, Culturally Relevant Education
