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Cheers, Hayden; Lin, Yuqing – Computer Science Education, 2023
Background and Context: Source code plagiarism is a common occurrence in undergraduate computer science education. Many source code plagiarism detection tools have been proposed to address this problem. However, such tools do not identify plagiarism, nor suggest what assignment submissions are suspicious of plagiarism. Source code plagiarism…
Descriptors: Plagiarism, Programming, Computer Science Education, Identification
W. Monty Jones; Katherine Hansen; Douglas Lusa Krug; Michael L. Schad; Nakisha Whittington; Xun Liu – Computer Science Education, 2025
Background and Context: Efforts to engage adult learners in computer science in the United States have been largely unsuccessful. While research examining the use of music for teaching computer programming with K-12 learners is emerging, little research with adult learners exists. Objective: This study evaluates the effect of computer coding…
Descriptors: Musical Composition, Computer Software, Adult Students, Student Attitudes
Tianxiao Yang; Jongpil Cheon – Computer Science Education, 2025
Background and context: There were few studies indicating if students' computational thinking (CT) self-efficacy and their CT performance were aligned with each other. Objectives: The study was to investigate if there was a discrepancy between students' CT self-efficacy and their CT performance. Method: Involving 104 non-CS undergraduate students…
Descriptors: Self Efficacy, Computer Science Education, Prediction, Teacher Expectations of Students
Sarah L. Rodriguez; Amanda Ross – Computer Science Education, 2025
Background and Context: Hispanic-serving community colleges represent promising sites for broadening participation and enhancing computing interests around AI. Objectives: This study investigated how students enrolled in an introductory AI computing course at an HSCC made meaning of their course experiences and how they described their interest in…
Descriptors: Artificial Intelligence, Computer Software, Computer Science Education, Technology Integration
Kristina Litherland; Anders Kluge – Computer Science Education, 2024
Background and Context: We explore the potential for understanding the processes involved in students' programming based on studying their behaviour and dialogue with each other and "conversations" with their programs. Objective: Our aim is to explore how a perspective of inquiry can be used as a point of departure for insights into how…
Descriptors: Programming, Programming Languages, Secondary School Students, Computer Science Education
Paulina Haduong; Karen Brennan – Computer Science Education, 2025
Background and Context: Learning to create self-directed and personally authentic programming projects involves encountering challenges and learning to get unstuck. Objective: This article investigates how one U.S. fourth-grade classroom engaged in practices which emphasized community supports, in the context of the classroom's implementation and…
Descriptors: Grade 4, Computer Science Education, Instructional Design, Programming
M. V. Lubarda; A. M. Phan; C. Schurgers; N. Delson; M. Ghazinejad; S. Baghdadchi; M. Minnes; M. Kim; C. Pilegard; J. Relaford-Doyle; C. L. Sandoval; H. Qi – Computer Science Education, 2025
Background and context: Pair programming and oral exams were deployed in tandem in a remote undergraduate computer programming course to promote social interaction and enhance learning. Objectives: We investigate their impact on social interactions, sense of connection, academic performance, and academic integrity within a virtual learning…
Descriptors: Distance Education, Undergraduate Students, Integrity, Computer Science Education
Heinsen Egan, Matthew; McDonald, Chris – Computer Science Education, 2021
Background and Context: Students learning the C programming language struggle to debug, and to understand the runtime behaviour of, their programs. Objective: We examine a tool that combines several novice-focused error detection, program visualization, and debugging techniques, to investigate which features students use in real study sessions,…
Descriptors: Computer Science Education, Programming Languages, Programming, Novices
Zhanxia Yang; Marina Bers – Computer Science Education, 2024
Background and Context: Historically, women have been underrepresented in computer science. To address this gender gap, researchers advocate for high-quality computer science programs for early childhood. Objectives: This study examines gender differences in coding performance before and after implementing a 24-lesson visual programming curriculum…
Descriptors: Gender Differences, Grade 1, Elementary School Students, Programming
Hao, Qiang; Smith, David H., IV; Ding, Lu; Ko, Amy; Ottaway, Camille; Wilson, Jack; Arakawa, Kai H.; Turcan, Alistair; Poehlman, Timothy; Greer, Tyler – Computer Science Education, 2022
Background and Context: automated feedback for programming assignments has great potential in promoting just-in-time learning, but there has been little work investigating the design of feedback in this context. Objective: to investigate the impacts of different designs of automated feedback on student learning at a fine-grained level, and how…
Descriptors: Computer Science Education, Feedback (Response), Teaching Methods, Comparative Analysis
Rich, Kathryn M.; Franklin, Diana; Strickland, Carla; Isaacs, Andy; Eatinger, Donna – Computer Science Education, 2022
Background and Context: We explored how learning trajectories (LTs) might be used to design variables instruction. Objective: We aimed to develop an LT for variables and use it to guide curriculum development for fourth graders working in Scratch in an integrated mathematics+CS curriculum. Method: We synthesized learning goals (LGs) and levels of…
Descriptors: Teaching Methods, Computer Science Education, Sequential Learning, Instructional Design
Hundhausen, C. D.; Conrad, P. T.; Carter, A. S.; Adesope, O. – Computer Science Education, 2022
Background and Context: Assessing team members' indivdiual contributions to software development projects poses a key problem for computing instructors. While instructors typically rely on subjective assessments, objective assessments could provide a more robust picture. To explore this possibility, In a 2020 paper, Buffardi presented a…
Descriptors: Computer Software, Computer Science Education, Correlation, Engineering Education
Pantic, Katarina; Clarke-Midura, Jody; Poole, Frederick; Roller, Jared; Allan, Vicki – Computer Science Education, 2018
Stereotypes people hold about computer scientists contribute to underrepresentation in computer science. Perceptions of computer scientists have historically been linked to males and a "nerd" culture, which can lead to lack of interest, particularly for girls. This article presents two studies conducted with two groups of middle…
Descriptors: Stereotypes, Computer Science, Disproportionate Representation, Gender Differences
Zakaria, Zarifa; Vandenberg, Jessica; Tsan, Jennifer; Boulden, Danielle Cadieux; Lynch, Collin F.; Boyer, Kristy Elizabeth; Wiebe, Eric N. – Computer Science Education, 2022
Background and Context: Researchers and practitioners have begun to incorporate collaboration in programming because of its reported instructional and professional benefits. However, younger students need guidance on how to collaborate in environments that require substantial interpersonal interaction and negotiation. Previous research indicates…
Descriptors: Feedback (Response), Intervention, Comparative Analysis, Programming
Teaching in an Open Village: A Case Study on Culturally Responsive Computing in Compulsory Education
Lachney, Michael; Bennett, Audrey G.; Eglash, Ron; Yadav, Aman; Moudgalya, Sukanya – Computer Science Education, 2021
Background: As teachers work to broaden the participation of racially and ethnically underrepresented groups in computer science (CS), culturally responsive computing (CRC) becomes more pertinent to formal settings. Objective: Yet, equity-oriented literature offers limited guidance for developing deep forms of CRC in the classroom. In response, we…
Descriptors: Culturally Relevant Education, Computer Science Education, Equal Education, Case Studies

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