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Ahn, Junghyun; Sung, Woonhee; Black, John B. – Journal of Research in Childhood Education, 2022
Despite increased interest in integrating programming education into K-12 programs, there is a lack of studies on teaching debugging to younger age groups. Therefore, this study proposes practical design components for designing unplugged debugging tasks that affect young learners' debugging performance, problem-solving, and self-efficacy,…
Descriptors: Programming, Computer Science Education, Learning Activities, Elementary School Students
Sung, Woonhee; Ahn, Junghyun; Black, John B. – Journal of Research in Childhood Education, 2022
Using robotics and programming, this study investigated the effects of different levels of embodied instruction on the problem-solving, debugging, programming proficiency, self-determination, and self-efficacy of students in ethnically diverse elementary classrooms. The first small-scale, quasi-experimental study involved 37 second-graders, who…
Descriptors: Elementary School Students, Academic Achievement, Student Attitudes, Robotics
Kim, Yeolib; Jeong, Hye In – IEEE Transactions on Learning Technologies, 2023
The recent push to introduce coding in early childhood education has been the subject of heated debate. A lack of theoretical and empirical research devoted to understanding coding education acceptance provided the motivation for this article. As a way to engage in the debate, this article investigated kindergarten teachers' acceptance of coding…
Descriptors: Early Childhood Education, Kindergarten, Early Childhood Teachers, Preservice Teachers
Liao, Shu-Min – Journal of Statistics and Data Science Education, 2023
SCRATCH, developed by the Media Lab at MIT, is a kid-friendly visual programming language, designed to introduce programming to children and teens in a "more thinkable, more meaningful, and more social" way. Although it was initially intended for K-12 students, educators have used it for higher education as well, and found it…
Descriptors: Teaching Methods, Coding, Programming Languages, Computer Science Education
Newton, Kristie J.; Leonard, Jacqueline; Buss, Alan; Wright, Christopher G.; Barnes-Johnson, Joy – Journal of Research on Technology in Education, 2020
This mixed methods study examined how engagement in robotics and game design influenced students' self-efficacy, STEM attitudes, and computational thinking (CT) skills. Predominantly African-American students engaged in engineering and computer science tasks during informal learning environments. Results revealed students' self-efficacy scores on…
Descriptors: Robotics, STEM Education, Self Efficacy, Student Attitudes