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Beyond plagiarism: An active learning method to analyze causes behind code-similarity
ARTICLE

, , , National Cheng Kung University, Taiwan

Computers & Education Volume 70, Number 1, ISSN 0360-1315 Publisher: Elsevier Ltd

Abstract

Code-similarity is the actual indicator of plagiarism in the context of programming assignments. However, the experiences of practical software development have empirically confirmed the existences of other causes for code-similarity. Existing practices usually overemphasis the casual relationship between code-similarity and plagiarism, but ignore the importance to make students understand other causes that also contribute to code-similarity. This paper presents an active learning method to involve students and instructors collaboratively in finding causes of code-similarity occurred in programming assignments. The result shows that most causes occurred in programming assignments are positive. Students can learn the different causes of code-similarity with pros and cons during conducting the active learning method.

Citation

Yang, F.P., Jiau, H.C. & Ssu, K.F. (2014). Beyond plagiarism: An active learning method to analyze causes behind code-similarity. Computers & Education, 70(1), 161-172. Elsevier Ltd. Retrieved July 11, 2020 from .

This record was imported from Computers & Education on January 29, 2019. Computers & Education is a publication of Elsevier.

Full text is availabe on Science Direct: http://dx.doi.org/10.1016/j.compedu.2013.08.005

Keywords