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Authors: Anaga Mani 1 ; Divya Venkataramani 1 ; Jordi Petit 2 and Salvador Roura 2

Affiliations: 1 SASTRA University, India ; 2 Universitat Politècnica de Catalunya, Spain

Keyword(s): Online Programming Judges, Automatic Assessment, Data Mining.

Related Ontology Subjects/Areas/Topics: Assessment Software Tools ; Computer-Aided Assessment ; Computer-Supported Education ; e-Learning ; e-Learning Platforms ; Learning/Teaching Methodologies and Assessment ; Simulation and Modeling ; Simulation Tools and Platforms

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 pro blems in Jutge.org. Those experiments suggest that our approach is general, efficient, and provides high quality results. (More)

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Paper citation in several formats:
Mani, A.; Venkataramani, D.; Petit, J. and Roura, S. (2014). Better Feedback for Educational Online Judges. In Proceedings of the 6th International Conference on Computer Supported Education - Volume 3: CSEDU; ISBN 978-989-758-021-5; ISSN 2184-5026, SciTePress, pages 176-183. DOI: 10.5220/0004842801760183

@conference{csedu14,
author={Anaga Mani. and Divya Venkataramani. and Jordi Petit. and Salvador Roura.},
title={Better Feedback for Educational Online Judges},
booktitle={Proceedings of the 6th International Conference on Computer Supported Education - Volume 3: CSEDU},
year={2014},
pages={176-183},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004842801760183},
isbn={978-989-758-021-5},
issn={2184-5026},
}

TY - CONF

JO - Proceedings of the 6th International Conference on Computer Supported Education - Volume 3: CSEDU
TI - Better Feedback for Educational Online Judges
SN - 978-989-758-021-5
IS - 2184-5026
AU - Mani, A.
AU - Venkataramani, D.
AU - Petit, J.
AU - Roura, S.
PY - 2014
SP - 176
EP - 183
DO - 10.5220/0004842801760183
PB - SciTePress