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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
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Kao, Yvonne; Matlen, Bryan; Weintrop, David – ACM Transactions on Computing Education, 2022
The 1980s and 1990s saw a robust connection between computer science education and cognitive psychology as researchers worked to understand how students learn to program. More recently, academic disciplines such as science and engineering have begun drawing on cognitive psychology research and theories of learning to create instructional materials…
Descriptors: Computer Science Education, Cognitive Psychology, Transfer of Training, Programming
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Crawford, Chris S.; Gilbert, Juan E. – ACM Transactions on Computing Education, 2019
Brain-Computer Interface (BCI) hardware is becoming more affordable and accessible. However, there is limited work investigating ways to design software that broadens participation with BCI technology. In this article, we present a block-based programming environment designed to assist novice programmers with creating BCI applications. We also…
Descriptors: Barriers, Computer Software, Programming, Information Technology
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Vrieler, Tina; Salminen-Karlsson, Minna – ACM Transactions on Computing Education, 2022
The aim of this conceptual article is to provide a framework and a lens for educators in diversifying and making CS education more inclusive. In this article, we conceptualize the notion of computer science capital (CSC), which extends Bourdieu's sociological theory of capital and Archer et al.'s work on "science capital." The CSC…
Descriptors: Sociocultural Patterns, Computer Science Education, Teaching Methods, Inclusion
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Ott, Claudia; Robins, Anthony; Shephard, Kerry – ACM Transactions on Computing Education, 2016
Learning the first programming language is challenging for many students. High failure rates and bimodally distributed grades lead to a pedagogical interest in supporting students in first-year programming courses (CS1). In higher education, the important role of feedback for guiding the learning process and improving the learning outcome is…
Descriptors: Feedback (Response), Programming, Computer Science Education, Teaching Methods
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Thota, Neena; Berglund, Anders – ACM Transactions on Computing Education, 2016
We know from research that there is an intimate relationship between student learning and the context of learning. What is not known or understood well enough is the relationship of the students' background and previous studies to the understanding and learning of the subject area--here, computer science (CS). To show the contextual influences on…
Descriptors: Computer Science Education, Asians, Foreign Countries, Graduate Students