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

  • Raciel YeraEmail author
  • Yailé Caballero
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, 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.

Keywords

Programming online judges Fuzzy logic Problems recommendation 

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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  1. 1.University of Ciego de ÁvilaCiego de ÁvilaCuba
  2. 2.University of CamagüeyCamagüeyCuba

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