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Bhagya Munasinghe; Tim Bell; Anthony Robins – ACM Transactions on Computing Education, 2023
In learning to program and understanding how a programming language controls a computer, learners develop both insights and misconceptions whilst their mental models are gradually refined. It is important that the learner is able to distinguish the different elements and roles of a computer (compiler, interpreter, memory, etc.), which novice…
Descriptors: Computation, Thinking Skills, Programming, Programming Languages
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Ramon Lawrence; Sarah Foss; Tatiana Urazova – ACM Transactions on Computing Education, 2023
Objectives: Automatic assessment systems are widely used to provide rapid feedback for students and reduce grading time. Despite the benefits of increased efficiency and improved pedagogical outcomes, an ongoing challenge is mitigating poor student behaviors when interacting with automatic assessment systems including numerous submissions,…
Descriptors: Student Behavior, Evaluation Methods, Technology Uses in Education, Educational Technology
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Abraham E. Flanigan; Markeya S. Peteranetz; Duane F. Shell; Leen-Kiat Soh – ACM Transactions on Computing Education, 2023
Objectives: Although prior research has uncovered shifts in computer science (CS) students' implicit beliefs about the nature of their intelligence across time, little research has investigated the factors contributing to these changes. To address this gap, two studies were conducted in which the relationship between ineffective self-regulation of…
Descriptors: Computer Science Education, Self Concept, Intelligence, Self Management
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Gregor Große-bölting; Dietrich Gerstenberger; Lara Gildehaus; Andreas Mühling; Carsten Schulte – ACM Transactions on Computing Education, 2023
The disciplinary identity as a computer science student has recently received increasing attention as a well-developed subject identity can help with increasing retention, interest, and motivation. Besides, identity theory can serve as an analytical lens for issues around diversity. However, identity is also often perceived as a vague, overused…
Descriptors: Computer Science, Computer Science Education, Students, Computer Uses in Education
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Christopher Hundhausen; Phill Conrad; Olusola Adesope; Ahsun Tariq – ACM Transactions on Computing Education, 2023
Assessing team software development projects is notoriously difficult and typically based on subjective metrics. To help make assessments more rigorous, we conducted an empirical study to explore relationships between subjective metrics based on peer and instructor assessments, and objective metrics based on GitHub and chat data. We studied 23…
Descriptors: Teamwork, Computer Software, Undergraduate Students, Computer Science Education
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Rosalinda Garcia; Patricia Morreale; Lara Letaw; Amreeta Chatterjee; Pankati Patel; Sarah Yang; Isaac Tijerina Escobar; Geraldine Jimena Noa; Margaret Burnett – ACM Transactions on Computing Education, 2023
What if "regular" Computer Science (CS) faculty each taught elements of inclusive design in "regular" CS courses across an undergraduate curriculum? Would it affect the CS program's climate and inclusiveness to diverse students? Would it improve retention? Would students learn less CS? Would they actually learn any inclusive…
Descriptors: Computer Science Education, Undergraduate Study, College Faculty, Inclusion
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Rodrigo Duran; Silvia Amélia Bim; Itana Gimenes; Leila Ribeiro; Ronaldo Celso Messias Correia – ACM Transactions on Computing Education, 2023
"Motivation": Enrollments in Brazilian computing degrees are at an all-time high, but graduation numbers have not increased at the same rate. Moreover, enrollment growth has mainly attracted male students, steadily expanding the gender gap in Brazilian computing programs. Such high attrition rates have a great economic impact and may…
Descriptors: Foreign Countries, Academic Persistence, Intention, Dropout Characteristics
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Fujiko Robledo Yamamoto; Lecia Barker; Amy Voida – ACM Transactions on Computing Education, 2023
The benefits of service learning in computer and information science (CIS) are believed to be significant, ranging from providing students with real-world experiences to retaining students to positively impacting community partners. Although there are many benefits of service learning, the CIS domain does impose unique costs for integrating…
Descriptors: College Students, Computer Science Education, Information Science, Service Learning
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Heckman, Sarah; Carver, Jeffrey C.; Sherriff, Mark; Al-zubidy, Ahmed – ACM Transactions on Computing Education, 2022
Context: Computing Education Research (CER) is critical to help the computing education community and policy makers support the increasing population of students who need to learn computing skills for future careers. For a community to systematically advance knowledge about a topic, the members must be able to understand published work thoroughly…
Descriptors: Computer Science Education, Educational Research, Periodicals, Replication (Evaluation)
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Stepanova, Anna; Weaver, Alexis; Lahey, Joanna; Alexander, Gerianne; Hammond, Tracy – ACM Transactions on Computing Education, 2022
Computer science (CS) majors are in high demand and account for a large part of national computer and information technology job market applicants. Employment in this sector is projected to grow 12% between 2018 and 2028, which is faster than the average of all other occupations. Published data are available on traditional non-computer…
Descriptors: Computer Science Education, Majors (Students), Personnel Selection, Employer Attitudes
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Olivares, Daniel; Hundhausen, Christopher; Ray, Namrata – ACM Transactions on Computing Education, 2022
As in other STEM disciplines, early computing courses tend to stress individual assignments and discourage collaboration. This can lead to negative learning experiences that compel some students to give up. According to social learning theory, one way to improve students' learning experiences is to help them form and participate actively in…
Descriptors: Intervention, Interpersonal Relationship, Programming, Computer Science Education
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Groeneveld, Wouter; Vennekens, Joost; Aerts, Kris – ACM Transactions on Computing Education, 2022
As the importance of non-technical skills in the software engineering industry increases, the skill sets of graduates match less and less with industry expectations. A growing body of research exists that attempts to identify this skill gap. However, only few so far explicitly compare opinions of the industry with what is currently being taught in…
Descriptors: Engineering Education, Computer Software, Job Skills, College Graduates
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Wiegand, R. Paul; Bucci, Anthony; Kumar, Amruth N.; Albert, Jennifer; Gaspar, Alessio – ACM Transactions on Computing Education, 2022
In this article, we leverage ideas from the theory of coevolutionary computation to analyze interactions of students with problems. We introduce the idea of "informatively" easy or hard concepts. Our approach is different from more traditional analyses of problem difficulty such as item analysis in the sense that we consider Pareto…
Descriptors: Concept Formation, Difficulty Level, Computer Science Education, Problem Solving
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Pereira, Juanan; Díaz, Óscar – ACM Transactions on Computing Education, 2022
Capstone projects usually represent the most significant academic endeavor with which students have been involved. Time management tends to be one of the hurdles. On top, University students are prone to procrastinatory behavior. Inexperience and procrastination team up for students failing to meet deadlines. Supervisors strive to help. Yet heavy…
Descriptors: Capstone Experiences, Time Management, College Students, Computer Mediated Communication
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Poulsen, Seth; Herman, Geoffrey L.; Peterson, Peter A. H.; Golaszewski, Enis; Gorti, Akshita; Oliva, Linda; Scheponik, Travis; Sherman, Alan T. – ACM Transactions on Computing Education, 2022
We present a psychometric evaluation of a revised version of the "Cybersecurity Concept Inventory" ("CCI"), completed by 354 students from 29 colleges and universities. The CCI is a conceptual test of understanding created to enable research on instruction quality in cybersecurity education. This work extends previous expert…
Descriptors: Psychometrics, Computer Security, Measures (Individuals), Computer Science Education
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