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Lee, Hyejeong; Closser, Florentina; Alghamdi, Khadijah; Ottenbreit-Leftwich, Anne; Brown, Matthew; Koressel, Jacob – TechTrends: Linking Research and Practice to Improve Learning, 2023
This study aims to examine the current experiences of high school students in computer science (CS) courses and the factors that motivated them to continue their future enrollment. The participants were 603 high school students in grades 9 through 12 in Indiana, all of whom enrolled in at least one CS course during the 2020-2021 academic year.…
Descriptors: Student Experience, Predictor Variables, Enrollment, Computer Science Education
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Prateek Shekhar; Heydi Dominguez; Pramod Abichandani; Craig Iaboni – IEEE Transactions on Education, 2024
Purpose: The presented study was conducted to unpack high school students' motivational influences in engineering/computer science project-based learning (PjBL), using the attention, relevance, confidence, and satisfaction (ARCS) model of motivation as a conceptual framework. Methods: A qualitative research approach was used with student focus…
Descriptors: High School Students, Student Projects, Student Motivation, Learning Motivation
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Gayithri Jayathirtha; Deborah Fields; Yasmin Kafai – Computer Science Education, 2024
Background and Context: Debugging is a challenging yet understudied practice within recent collaborative K-12 physical computing contexts. We examined think-aloud interviews and reflections of seven high school student pairs who debugged researcher-designed buggy electronic textile projects. Objective: We asked: (1) What strategies did student…
Descriptors: High School Students, Problem Solving, Cooperation, Small Group Instruction
Shane Wines – ProQuest LLC, 2024
Gamification is a teaching strategy often praised for its effectiveness in the classroom. The problem was the lack of information regarding teachers' perceptions regarding gamification in high school Advanced Placement (AP) computer science courses. The purpose of this qualitative study was to explore the perceptions of computer science teachers…
Descriptors: Teacher Attitudes, Gamification, Advanced Placement Programs, Computer Science Education
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Trina Johnson Kilty; Kevin T. Kilty; Andrea C. Burrows Borowczak; Mike Borowczak – Problems of Education in the 21st Century, 2024
A computer science camp for pre-collegiate students was operated during the summers of 2022 and 2023. The effect the camp had on attitudes was quantitatively assessed using a survey instrument. However, enrollment at the summer camp was small, which meant the well-known Pearson's Chi-Squared to measure the significance of results was not applied.…
Descriptors: Summer Programs, Camps, Computer Science Education, 21st Century Skills
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Mike Karlin; Anne Ottenbreit-Leftwich; Yin-Chan Janet Liao – TechTrends: Linking Research and Practice to Improve Learning, 2024
While a growing emphasis has been placed on broadening participation in computer science (CS) education, an enduring gender gap exists. One reason for this is gender-based CS stereotypes, which serve as gatekeepers and act in exclusionary ways. However, some high schools in the U.S. have still built gender-inclusive CS programs. We conducted a…
Descriptors: High Schools, Computer Science Education, Gender Differences, Stereotypes
Gusev, Dmitri A.; Swanson, Dewey A.; Casner, Melissa R. – Association Supporting Computer Users in Education, 2023
Recruiting tomorrow's information technology students is getting to be a challenging job even though there are a variety of many good-paying jobs in the field when they graduate. This is not just an issue for our department, Computer and Information Technology (CIT). According to experts, with declining birthrates, students determining there are…
Descriptors: Information Technology, Student Recruitment, College Students, Learning Activities
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Debora Lui; Deborah A. Fields; Yasmin B. Kafai – Cognition and Instruction, 2024
Debugging (or troubleshooting) provides a rich context to foster problem-solving. Yet, while we know much about some problems and strategies that novices face in programming on-screen, we know far less about debugging and troubleshooting in the context of physical computing, where coding issues may overlap with materially embedded problems. In…
Descriptors: Grade 9, STEM Education, Troubleshooting, Public Schools
Sujeeth Goud Ramagoni – ProQuest LLC, 2024
The rapid evolution of technology and its integration across virtually every field has made computer science (CS) education a crucial component of modern curricula. Despite the increasing demand for CS skills and being the top source of new wage creation in the U.S., CS education remains undervalued and underrepresented in high school systems.…
Descriptors: Teacher Shortage, Computer Science Education, Barriers, Access to Education
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Chiao Ling Huang; Lianzi Fu; Shih-Chieh Hung; Shu Ching Yang – Journal of Computer Assisted Learning, 2025
Background: Many studies have highlighted the positive effects of visual programming instruction (VPI) on students' learning experiences, programming self-efficacy and flow experience. However, there is a notable gap in the research on how these factors specifically impact programming achievement and learning intentions. Our study addresses this…
Descriptors: Attention, Self Efficacy, Visual Aids, Instructional Effectiveness
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Michael Karlin; Anne Ottenbreit-Leftwich; Yin-Chan Janet Liao – International Journal of Computer Science Education in Schools, 2024
A significant gender gap continues to exist within computer science (CS) education, despite nationwide emphasis in the U.S. on improving CS education equity and access. To explore this issue, we conducted an ethnographic case study within a classroom at Forest View High School (FVHS, pseudonym) where girls' participation in CS was consistently…
Descriptors: Computer Science Education, Student Experience, Teaching Experience, High School Students
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Ünal Çakiroglu; Seval Bilgi – Interactive Learning Environments, 2024
The aim of this explanatory study is to identify the causes of intrinsic cognitive load in programming process. For this purpose, a method based on two dimensions; programming knowledge types (syntactic, semantic, and strategic) and programming constructs was proposed. The proposed method was tested with high school students enrolled in Computer…
Descriptors: Cognitive Processes, Difficulty Level, Programming, Interaction
Sirazum Munira Tisha – ProQuest LLC, 2023
Most existing autograders used for grading programming assignments are based on unit testing, which is tedious to implement for programs with graphical output and does not allow testing for other code aspects, such as programming style or structure. We present a novel autograding approach based on machine learning that can successfully check the…
Descriptors: Computer Software, Grading, Programming, Assignments
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Jill Denner; Heather Bell; David Torres; Emily Green – Computer Science Education, 2024
Background and context: High school students' interest in computing fields is not always sustained in community college due to a disconnect between institutions. Objective: To understand how cross-sector collaborations can align institutional pathways in computing. Research questions: What cross-sector practices can be used to build a computing…
Descriptors: Computer Science Education, Guided Pathways, High Schools, Community Colleges
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Anna Fergusson; Maxine Pfannkuch – Journal of Statistics and Data Science Education, 2024
Statistics teaching at the high school level needs modernizing to include digital sources of data that students interact with every day. Algorithmic modeling approaches are recommended, as they can support the teaching of data science and computational thinking. Research is needed about the design of tasks that support high school statistics…
Descriptors: High School Students, Statistics Education, Thinking Skills, Computer Science Education
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