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Rahel Schmid; Robbert Smit; Nicolas Robin; Alexander Strahl – British Journal of Educational Psychology, 2025
Background: Students make many errors in visual programming. In order to learn from these, it is important that students regulate their emotions and view errors as learning opportunities. Aims: This study aimed to explore to what extent momentary emotions, specifically enjoyment, anxiety and boredom, as well as the error learning orientation of…
Descriptors: Psychological Patterns, Emotional Response, Learning Processes, Error Patterns
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
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Scharber, Cassandra; Peterson, Lana; Chang, Yu-Hui; Barksdale, Sarah; Sivaraj, Ramya – Pedagogies: An International Journal, 2021
We recommend the conceptualization of computing as a critical literacy, and ground this conceptualization in considerations of historical and current realities in computing. The frameworks of connected learning and computational participation are recommended as guides for "doing" critical computing literacy. We present the findings from…
Descriptors: Critical Theory, Computer Science Education, Elementary Secondary Education, After School Programs
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Campe, Shannon; Denner, Jill; Green, Emily; Torres, David – Computer Science Education, 2020
Background and Context: Pair programming is used in classrooms to promote learning and engage a more diverse group of students in computing fields, but little is known about what it looks like in middle school. Objective: The aim of this study was to examine how programming pairs were interacting and about what. Method: Video, audio, and screen…
Descriptors: Cooperative Learning, Programming, Computer Science Education, Middle School Students
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Mouza, Chrystalla; Pan, Yi-Cheng; Yang, Hui; Pollock, Lori – Journal of Educational Computing Research, 2020
In this work, we examine whether repeated participation in an after-school computing program influenced student learning of computational thinking concepts, practices, and perspectives. We also examine gender differences in learning outcomes. The program was developed through a school-university partnership. Data were collected from 138 students…
Descriptors: After School Programs, Thinking Skills, Computer Science Education, Repetition
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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
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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