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Mexican International Conference on Artificial Intelligence

MICAI 2017: Advances in Soft Computing pp 208–220Cite as

A Fuzzy Approach for Recommending Problems to Solve in Programming Online Judges

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10632))

Abstract

Programming online judges are e-learning tools usually used in programming practices for the automatic evaluation of source code developed by students, for solving programming problems. Specifically, they contain a large collection of such problems where the students, at their own personalized pace, have to select and try to solve. Therefore, the increasing of the number of problems makes difficult the selection of the right problem to solve according to the previous users performance, causing information overload and a widespread discouragement. The current contribution proposes a recommendation approach to mitigate this issue by suggesting problems to solve in programming online judges, through the use of fuzzy tools which manage the uncertainty related to this scenario. The proposal evaluation, using real data obtained from a programming online judge, shows that the new approach improves previous recommendation strategies which do not consider uncertainty management in the programming online judge scenarios.

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Author information

Authors and Affiliations

  1. University of Ciego de Ávila, Ciego de Ávila, Cuba

    Raciel Yera

  2. University of Camagüey, Camagüey, Cuba

    Yailé Caballero

Authors
  1. Raciel Yera
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  2. Yailé Caballero
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Corresponding author

Correspondence to Raciel Yera .

Editor information

Editors and Affiliations

  1. Universidad Autónoma del Estado de Hidalgo, Pachuca, Mexico

    Félix Castro

  2. INFOTEC Aguascalientes, Aguascalientes, Mexico

    Sabino Miranda-Jiménez

  3. Tecnológico de Monterrey, Atizapán de Zaragoza, Mexico

    Miguel González-Mendoza

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Yera, R., Caballero, Y. (2018). A Fuzzy Approach for Recommending Problems to Solve in Programming Online Judges. In: Castro, F., Miranda-Jiménez, S., González-Mendoza, M. (eds) Advances in Soft Computing. MICAI 2017. Lecture Notes in Computer Science(), vol 10632. Springer, Cham. https://doi.org/10.1007/978-3-030-02837-4_17

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  • DOI: https://doi.org/10.1007/978-3-030-02837-4_17

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-02836-7

  • Online ISBN: 978-3-030-02837-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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