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Author (up) Ferran, S.; Beghelli, A.; Huerta-Canepa, G.; Jensen, F. doi  openurl
  Title Correctness assessment of a crowdcoding project in a computer programming introductory course Type Journal Article
  Year 2018 Publication Computer Applications In Engineering Education Abbreviated Journal Comput. Appl. Eng. Educ.  
  Volume 26 Issue 1 Pages 162-170  
  Keywords automated code correctness assessment; computer programming education; crowdcoding; software crowdsourcing  
  Abstract Crowdcoding is a programming model that outsources a software project implementation to the crowd. As educators, we think that crowdcoding could be leveraged as part of the learning path of engineering students from a computer programming introductory course to solve local community problems. The benefits are twofold: on the one hand the students practice the concepts learned in class and, on the other hand, they participate in real-life problems. Nevertheless, several challenges arise when developing a crowdcoding platform, the first one being how to check the correctness of student's code without giving an extra burden to the professors in the course. To overcome this issue, we propose a novel system that does not resort to expert review; neither requires knowing the right answers beforehand. The proposed scheme automatically clusters the student's codes based solely on the output they produce. Our initial results show that the largest cluster contains the same codes selected as correct by the automated and human testing, as long as some conditions apply.  
  Address [Ferran, Sebastian; Beghelli, Alejandra; Huerta-Canepa, Gonzalo; Jensen, Federico] Univ Adolfo Ibanez, Fac Engn & Sci, Ave Padre Hurtado 750, Vina Del Mar, Chile, Email:  
  Corporate Author Thesis  
  Publisher Wiley Place of Publication Editor  
  Language English Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 1061-3773 ISBN Medium  
  Area Expedition Conference  
  Notes WOS:000419898700013 Approved no  
  Call Number UAI @ eduardo.moreno @ Serial 822  
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