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Showing 1 to 15 of 42 results Save | Export
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Leah Bidlake; Eric Aubanel; Daniel Voyer – ACM Transactions on Computing Education, 2025
Research on mental model representations developed by programmers during parallel program comprehension is important for informing and advancing teaching methods including model-based learning and visualizations. The goals of the research presented here were to determine: how the mental models of programmers change and develop as they learn…
Descriptors: Schemata (Cognition), Programming, Computer Science Education, Coding
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Miedema, Daphne; Fletcher, George; Aivaloglou, Efthimia – ACM Transactions on Computing Education, 2023
Prior studies in the Computer Science education literature have illustrated that novices make many mistakes in composing SQL queries. Query formulation proves to be difficult for students. Only recently, some headway was made towards understanding why SQL leads to so many mistakes, by uncovering student misconceptions. In this article, we shed new…
Descriptors: Computer Science Education, Novices, Misconceptions, Programming Languages
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Anna Rechtácková; Radek Pelánek; Tomáš Effenberger – ACM Transactions on Computing Education, 2025
Code quality is a critical aspect of programming, as high-quality code is easier to maintain, and code maintenance constitutes the majority of software costs. Consequently, code quality should be emphasized in programming education. While previous research has identified numerous code quality defects commonly made by students, the current state…
Descriptors: Programming, Computer Science Education, Error Patterns, Automation
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Camilo Vieira; Andrea Vásquez; Federico Meza; Roxana Quintero-Manes; Pedro Godoy – ACM Transactions on Computing Education, 2024
Currently, there is little evidence about how non-English-speaking students learn computer programming. For example, there are few validated assessment instruments to measure the development of programming skills, especially for the Spanish-speaking population. Having valid assessment instruments is essential to identify the difficulties of the…
Descriptors: Programming, Spanish Speaking, Translation, Test Validity
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Ibrahim Albluwi; Raghda Hriez; Raymond Lister – ACM Transactions on Computing Education, 2025
Explain-in-Plain-English (EiPE) questions are used by some researchers and educators to assess code reading skills. EiPE questions require students to briefly explain (in plain English) the purpose of a given piece of code, without restating what the code does line-by-line. The premise is that novices who can explain the purpose of a piece of code…
Descriptors: Questioning Techniques, Programming, Computer Science Education, Student Evaluation
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Shao-Heng Ko; Kristin Stephens-Martinez – ACM Transactions on Computing Education, 2025
Background: Academic help-seeking benefits students' achievement, but existing literature either studies important factors in students' selection of all help resources via self-reported surveys or studies their help-seeking behavior in one or two separate help resources via actual help-seeking records. Little is known about whether computing…
Descriptors: Computer Science Education, College Students, Help Seeking, Student Behavior
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Aivaloglou, Efthimia; van der Meulen, Anna – ACM Transactions on Computing Education, 2021
Courses in computer science curricula often involve group programming assignments. Instructors are required to take several decisions on assignment setup and monitoring, team formation policies, and grading systems. Group programming projects provide unique monitoring opportunities due to the availability of both product and process data, as well…
Descriptors: Student Attitudes, Grading, Cooperative Learning, Programming
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Chun-Ying Chen – ACM Transactions on Computing Education, 2025
This study examined the effects of worked examples with different explanation types and novices' motivation on cognitive load, and how this subsequently influenced their programming problem-solving performance. Given the study's emphasis on both instructional approaches and learner motivation, the Cognitive Theory of Multimedia Learning served as…
Descriptors: Models, Learning Motivation, Cognitive Processes, Difficulty Level
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Maria Jesús Marco-Galindo; Julià Minguillón; David García-Solórzano; Teresa Sancho-Vinuesa – ACM Transactions on Computing Education, 2025
Objectives: This study addresses the challenges faced by students repeating an introductory programming course (CS1) at an online university, where dropout and failure rates remain high. While programming education has been widely studied, targeted interventions for repeating students remain scarce. Our research aims to analyze the experiences of…
Descriptors: Computer Science Education, Online Courses, Repetition, Introductory Courses
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Carla De Lira; Shira Broschat; Olusola Adesope; Christopher Hundhausen – ACM Transactions on Computing Education, 2025
The increasing demand for a diverse pool of computing talent combined with a persistent shortage of skilled workers has engendered a need to support students pursuing Computer Science (CS) careers. Students often cite social isolation and lack of support as reasons for withdrawing from computing programs. This is especially true for those from…
Descriptors: Empathy, Emotional Development, Psychological Patterns, Learning Processes
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Lyon, Louise Ann; Green, Emily – ACM Transactions on Computing Education, 2021
College-educated women in the workforce are discovering a latent interest in and aptitude for computing motivated by the prevalence of computing as an integral part of jobs in many fields as well as continued headlines about the number of unfilled, highly paid computing jobs. One of these women's choices for retraining are the so-called coding…
Descriptors: Computer Science Education, Coding, Programming, Females
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Thomas, Paul J.; Patel, Devang; Magana, Alejandra J. – ACM Transactions on Computing Education, 2021
Software modeling is an integral practice for software engineers, especially as the complexity of software solutions increases. Unified Modeling Language (UML) is the industry standard for software modeling. however, it is often used incorrectly and misunderstood by novice software designers. This study is centered around understanding patterns of…
Descriptors: Computer Science Education, Models, Computer Software, Programming Languages
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Anael Kuperwajs Cohen; Alannah Oleson; Amy J. Ko – ACM Transactions on Computing Education, 2024
Collaboration is an important aspect of computing. In a classroom setting, working with others can increase a student's motivation to attempt more challenges, reduce the difficulty of complicated concepts, and bring about greater overall success. Despite extensive research in other domains, there has been minimal exploration within computing on…
Descriptors: College Students, Help Seeking, Student Behavior, Programming
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Daleiden, Patrick; Stefik, Andreas M.; Uesbeck, Phillip Merlin – ACM Transactions on Computing Education, 2020
Coprocessor architectures in High Performance Computing are prevalent in today's scientific computing clusters and require specialized knowledge for proper utilization. Various alternative paradigms for parallel and offload computation exist, but little is known about the human factors impacts of using the different paradigms. With computer…
Descriptors: College Students, Computer Science Education, Scientific Concepts, Computation
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Daleiden, Patrick; Stefik, Andreas; Uesbeck, P. Merlin; Pedersen, Jan – ACM Transactions on Computing Education, 2020
There are many paradigms available to address the unique and complex problems introduced with parallel programming. These complexities have implications for computer science education as ubiquitous multi-core computers drive the need for programmers to understand parallelism. One major obstacle to student learning of parallel programming is that…
Descriptors: Randomized Controlled Trials, Performance Factors, Programming, Computer Science Education
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