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Fatima Abu Deeb; Timothy Hickey – Computer Science Education, 2024
Background and Context: Auto-graders are praised by novice students learning to program, as they provide them with automatic feedback about their problem-solving process. However, some students often make random changes when they have errors in their code, without engaging in deliberate thinking about the cause of the error. Objective: To…
Descriptors: Reflection, Automation, Grading, Novices
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Bonet, Nicolás; Garcés, Kelly; Casallas, Rubby; Correal, María Elsa; Wei, Ran – Computer Science Education, 2018
Bad smells affect maintainability and performance of model-to-model transformations. There are studies that define a set of transformation bad smells, and some of them propose techniques to recognize and--according to their complexity--fix them in a (semi)automated way. In academia it is necessary to make students aware of this subject and provide…
Descriptors: Foreign Countries, Graduate Students, Masters Programs, Programming
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Maguire, Phil; Maguire, Rebecca; Kelly, Robert – Computer Science Education, 2017
We report on an intervention in which informal programming labs were switched to a weekly machine-evaluated test for a second year Data Structures and Algorithms module. Using the online HackerRank system, we investigated whether greater constructive alignment between course content and the exam would result in lower failure rates. After…
Descriptors: Programming, Computer Science Education, Teaching Methods, Test Scoring Machines
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Becker, Brett A.; Glanville, Graham; Iwashima, Ricardo; McDonnell, Claire; Goslin, Kyle; Mooney, Catherine – Computer Science Education, 2016
Programming is an essential skill that many computing students are expected to master. However, programming can be difficult to learn. Successfully interpreting compiler error messages (CEMs) is crucial for correcting errors and progressing toward success in programming. Yet these messages are often difficult to understand and pose a barrier to…
Descriptors: Computer Science Education, Programming, Novices, Error Patterns
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Simon, Beth; Bouvier, Dennis; Chen, Tzu-Yi; Lewandowski, Gary; McCartney, Robert; Sanders, Kate – Computer Science Education, 2008
We report on responses to a series of four questions designed to identify pre-existing abilities related to debugging and troubleshooting experiences of novice students before they begin programming instruction. The focus of these questions include general troubleshooting, bug location, exploring unfamiliar environments, and describing students'…
Descriptors: Troubleshooting, Teaching Methods, Computer Science Education, Programming
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Fitzgerald, Sue; Lewandowski, Gary; McCauley, Renee; Murphy, Laurie; Simon, Beth; Thomas, Lynda; Zander, Carol – Computer Science Education, 2008
Debugging is often difficult and frustrating for novices. Yet because students typically debug outside the classroom and often in isolation, instructors rarely have the opportunity to closely observe students while they debug. This paper describes the details of an exploratory study of the debugging skills and behaviors of contemporary novice Java…
Descriptors: Troubleshooting, Teaching Methods, Computer Science Education, Programming
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McCauley, Renee; Fitzgerald, Sue; Lewandowski, Gary; Murphy, Laurie; Simon, Beth; Thomas, Lynda; Zander, Carol – Computer Science Education, 2008
This paper reviews the literature related to the learning and teaching of debugging computer programs. Debugging is an important skill that continues to be both difficult for novice programmers to learn and challenging for computer science educators to teach. These challenges persist despite a wealth of important research on the subject dating…
Descriptors: Troubleshooting, Computer Science, Programming, Computer Software
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Karavirta, Ville; Korhonen, Ari; Malmi, Lauri – Computer Science Education, 2006
Automatic assessment systems generally support immediate grading and response on learners' submissions. They also allow learners to consider the feedback, revise, and resubmit their solutions. Several strategies exist to implement the resubmission policy. The ultimate goal, however, is to improve the learning outcomes, and thus the strategies…
Descriptors: Feedback (Response), Student Evaluation, Computer Managed Instruction, Foreign Countries