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Better feedback for educational online judges
dc.contributor.author | Mani, Anaga |
dc.contributor.author | Venkataramani, Divya |
dc.contributor.author | Petit Silvestre, Jordi |
dc.contributor.author | Roura Ferret, Salvador |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament de Ciències de la Computació |
dc.date.accessioned | 2015-06-04T08:47:03Z |
dc.date.available | 2015-06-04T08:47:03Z |
dc.date.created | 2014 |
dc.date.issued | 2014 |
dc.identifier.citation | Mani, A. [et al.]. Better feedback for educational online judges. A: International Conference on Computer Supported Education. "Proceedings of the 6th International Conference on Computer Supported Education, Volume 2: Barcelona, Spain, 1-3 April, 2014". Barcelona: SciTePress, 2014, p. 176-183. |
dc.identifier.isbn | 978-989-758-021-5 |
dc.identifier.uri | http://hdl.handle.net/2117/28174 |
dc.description.abstract | The verdicts of most online programming judges are, essentially, binary: the submitted codes are either “good enough” or not. Whilst this policy is appropriate for competitive or recruitment platforms, it can hinder the adoption of online judges on educative settings, where it could be adequate to provide better feedback to a student (or instructor) that has submitted a wrong code. An obvious option would be to just show him or her an instance where the code fails. However, that particular instance could be not very significant, and so could induce unreflectively patching the code. The approach considered in this paper is to data mine all the past incorrect submissions by all the users of the judge, so to extract a small subset of private test cases that may be relevant to most future users. Our solution is based on parsing the test files, building a bipartite graph, and solving a Set Cover problem by means of Integer Linear Programming. We have tested our solution with a hundred problems in Jutge.org. Those experiments suggest that our approach is general, efficient, and provides high quality results. |
dc.format.extent | 8 p. |
dc.language.iso | eng |
dc.publisher | SciTePress |
dc.subject | Àrees temàtiques de la UPC::Informàtica |
dc.subject | Àrees temàtiques de la UPC::Ensenyament i aprenentatge::TIC’s aplicades a l’educació |
dc.subject.lcsh | Data mining |
dc.subject.lcsh | Computer-assisted instruction |
dc.subject.other | Online programming judges |
dc.subject.other | Automatic assessment |
dc.subject.other | Data mining |
dc.title | Better feedback for educational online judges |
dc.type | Conference report |
dc.subject.lemac | Mineria de dades |
dc.subject.lemac | Ensenyament assistit per ordinador |
dc.contributor.group | Universitat Politècnica de Catalunya. ALBCOM - Algorismia, Bioinformàtica, Complexitat i Mètodes Formals |
dc.identifier.doi | 10.5220/0004842801760183 |
dc.rights.access | Open Access |
local.identifier.drac | 15574182 |
dc.description.version | Postprint (author’s final draft) |
local.citation.author | Mani, A.; Venkataramani, D.; Petit, J.; Roura, S. |
local.citation.contributor | International Conference on Computer Supported Education |
local.citation.pubplace | Barcelona |
local.citation.publicationName | Proceedings of the 6th International Conference on Computer Supported Education, Volume 2: Barcelona, Spain, 1-3 April, 2014 |
local.citation.startingPage | 176 |
local.citation.endingPage | 183 |