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Kwon, Kyungbin; Cheon, Jongpil – International Journal of Computer Science Education in Schools, 2019
Although teachers need to assess computational thinking (CT) for computer science education in K-12, it is not easy for them to evaluate students' programs based on the perspective. The purpose of this study was to investigate students' CT skills reflected in their Scratch programs. The context of the study was a middle school coding club where…
Descriptors: Computer Science Education, Computation, Thinking Skills, Coding
Denner, Jill; Green, Emily; Campe, Shannon – Journal of the Learning Sciences, 2021
Background: Learning to program and success in computer science requires persistence in the face of challenges. This study contributes to research on the social context of learning by describing how children's peer interactions can support or hinder the pair's problem solving on the computer. Methods: Video recordings from eight pairs of middle…
Descriptors: Programming, Computer Science Education, Middle School Students, Peer Relationship
Amanda M. Meek – ProQuest LLC, 2023
Despite high scores and abilities, girls lose interest in science and math throughout middle school. According to the Bureau of Labor Statistics, jobs in the computer science research field will grow 19% by 2026; however, only 18% of the bachelor's degrees in computer science are earned by women in the United States (ComputerScience.org, 2021).…
Descriptors: Problem Solving, Creativity, Programming, Computer Science
Dahn, Maggie; DeLiema, David – Computer Science Education, 2020
Background and Context: Women are underrepresented in the field of computer science, a trend that in part can be traced to girls' early experiences with the discipline. Objective: Our aim is to show how three girls who became strong coders talked about their debugging practice at the intersection of problem solving, emotion, and identity. Method:…
Descriptors: Psychological Patterns, Problem Solving, Identification (Psychology), Females
Sung, Woonhee; Black, John B. – Journal of Research on Technology in Education, 2021
This study examined what factors might have a positive impact on students' learning outcomes in mathematical understanding and computational thinking skills. Specifically, whether the proposed instructional design combining computational perspectives and an embodied approach in mathematics learning improves (a) mathematics learning, (b)…
Descriptors: Instructional Design, Mathematics Instruction, Teaching Methods, Outcomes of 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
Gunion, Katherine; Milford, Todd; Stege, Ulrike – Journal of Problem Solving, 2009
Recursion is a programming paradigm as well as a problem solving strategy thought to be very challenging to grasp for university students. This article outlines a pilot study, which expands the age range of students exposed to the concept of recursion in computer science through instruction in a series of interesting and engaging activities. In…
Descriptors: Foreign Countries, Programming, Programming Languages, Middle School Students
Denner, Jill; Werner, Linda – Journal of Educational Computing Research, 2007
Many believe that girls lack the confidence and motivation to persist with computers when they face a challenge. In order to increase the number of girls and women in information technology careers, we need a better understanding of how they think about and solve problems while working on the computer. In this article, we describe a qualitative…
Descriptors: Computers, Programming, Females, Summer Programs
Barnes, Tiffany, Ed.; Chi, Min, Ed.; Feng, Mingyu, Ed. – International Educational Data Mining Society, 2016
The 9th International Conference on Educational Data Mining (EDM 2016) is held under the auspices of the International Educational Data Mining Society at the Sheraton Raleigh Hotel, in downtown Raleigh, North Carolina, in the USA. The conference, held June 29-July 2, 2016, follows the eight previous editions (Madrid 2015, London 2014, Memphis…
Descriptors: Data Analysis, Evidence Based Practice, Inquiry, Science Instruction