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Kristina Kramarczuk – ProQuest LLC, 2024
As technology continues to permeate all aspects of modern society, it is critical for PK-12 students to participate in computer science (CS) learning opportunities that prepare them to navigate and leverage technology in their future careers. However, research consistently shows that Black, Hispanic/Latino/a/x, and Native American students,…
Descriptors: Computer Science Education, Principals, Equal Education, Administrator Attitudes
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Korkmaz, Özgen; Bai, Xuemei – Participatory Educational Research, 2019
The purpose of this study is to adapt the computational thinking scale to Chinese. The study group consists of 1015 students. The study was performed in the descriptive scanning model. The final version of the scale was corrected in line with the opinions of the language experts who received the items translated from Turkish to Chinese.…
Descriptors: Problem Solving, High School Students, Thinking Skills, Chinese
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Korkmaz, Özgen; Bai, Xuemei – Online Submission, 2019
The purpose of this study is to adapt the computational thinking scale to Chinese. The study group consists of 1015 students. The study was performed in the descriptive scanning model. The final version of the scale was corrected in line with the opinions of the language experts who received the items translated from Turkish to Chinese.…
Descriptors: Problem Solving, High School Students, Thinking Skills, Chinese
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Luse, Andy; Rursch, Julie A.; Jacobson, Doug – ACM Transactions on Computing Education, 2014
In the United States, the number of students entering into and completing degrees in science, technology, engineering, and mathematics (STEM) areas has declined significantly over the past decade. Although modest increases have been shown in enrollments in computer-related majors in the past 4 years, the prediction is that even in 3 to 4 years…
Descriptors: Social Theories, Social Cognition, Career Choice, Majors (Students)
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Lee, Ahlam – Journal of Pre-College Engineering Education Research, 2013
Many STEM studies have focused on traditional learning contexts, such as math- and science-related learning factors, as pre-college learning predictors for STEM major choices in colleges. Few studies have considered a progressive learning activity embedded within STEM contexts. This study chose computer-based learning activities in K-12 math…
Descriptors: STEM Education, Predictor Variables, High School Students, Majors (Students)