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Martínez, Salvador; Wimmer, Manuel; Cabot, Jordi – Computer Science Education, 2020
Background and Context: Reports suggest plagiarism is a common occurrence in universities. While plagiarism detection mechanisms exist for textual artifacts, this is less so for non-code related ones such as software design artifacts like models, metamodels or model transformations. Objective: To provide an efficient mechanism for the detection of…
Descriptors: Plagiarism, Identification, Computer Software, Computer Uses in Education
Sorva, Juha; Lönnberg, Jan; Malmi, Lauri – Computer Science Education, 2013
Visual program simulation (VPS) is a new, interactive form of educational program visualisation, in which learners use graphical controls to direct a program's execution rather than simply watching an animation of it. In this article, we report on a qualitative empirical study of novice programmers learning through VPS. From an analysis of…
Descriptors: Visualization, Computer Uses in Education, Interviews, Observation
Sondergaard, Harald; Mulder, Raoul A. – Computer Science Education, 2012
We examine student peer review, with an emphasis on formative practice and collaborative learning, rather than peer grading. Opportunities to engage students in such formative peer assessment are growing, as a range of online tools become available to manage and simplify the process of administering student peer review. We consider whether…
Descriptors: Cooperative Learning, Peer Evaluation, Formative Evaluation, Intellectual Disciplines
Herman, Geoffrey L. – Computer Science Education, 2012
In order to maximize the effectiveness of our pedagogies, we must understand how our pedagogies align with prevailing theories of cognition and motivation and design our pedagogies according to this understanding. When implementing Contributing Student Pedagogies (CSPs), students are expected to make meaningful contributions to the learning of…
Descriptors: Student Motivation, Learning Motivation, Research Universities, Learner Engagement
Lancaster, Thomas; Culwin, Fintan – Computer Science Education, 2004
Automated techniques for finding plagiarism in student source code submissions have been in use for over 20 years and there are many available engines and services. This paper reviews the literature on the major modern detection engines, providing a comparison of them based upon the metrics and techniques they deploy. Generally the most common and…
Descriptors: Foreign Countries, Plagiarism, College Students, Student Evaluation