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Haldeman, Georgiana; Babes-Vroman Monica; Tjang, Andrew; Nguyen, Thu D. – ACM Transactions on Computing Education, 2021
Autograding systems are being increasingly deployed to meet the challenges of teaching programming at scale. Studies show that formative feedback can greatly help novices learn programming. This work extends an autograder, enabling it to provide formative feedback on programming assignment submissions. Our methodology starts with the design of a…
Descriptors: Student Evaluation, Feedback (Response), Grading, Automation
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Enstrom, Emma; Kann, Viggo – ACM Transactions on Computing Education, 2017
When compared to earlier programming and data structure experiences that our students might have, the perspective changes on computers and programming when introducing theoretical computer science into the picture. Underlying computational models need to be addressed, and mathematical tools employed, to understand the quality criteria of…
Descriptors: Difficulty Level, Computer Science Education, Undergraduate Students, Programming
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Kaila, Erkki; Kurvinen, Einari; Lokkila, Erno; Laakso, Mikko-Jussi – ACM Transactions on Computing Education, 2016
Educational technology offers several potential benefits for programming education. Still, to facilitate the technology properly, integration into a course must be carefully designed. In this article, we present a redesign of an object-oriented university-level programming course. In the redesign, a collaborative education tool was utilized to…
Descriptors: Curriculum Development, Programming, Computer Science Education, Active Learning
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Bruce-Lockhart, Michael; Norvell, Theodore; Crescenzi, Pierluigi – ACM Transactions on Computing Education, 2009
We propose an extension of the Teaching Machine project, called Quiz Generator, that allows instructors to produce assessment quizzes in the field of algorithm and data structures quite easily. This extension makes use of visualization techniques and is based on new features of the Teaching Machine that allow third-party visualizers to be added as…
Descriptors: Tests, Mathematics, Visualization, Test Construction