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International Conference on Smart Education and Smart E-Learning

SEEL 2017: Smart Education and e-Learning 2017 pp 215–224Cite as

A Recommender System for Supporting Students in Programming Online Judges

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Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 75))

Abstract

Programming Online Judges (POJs) are tools that contain a large collection of programming problems to be solved by students as a component of their training and programming practices. This contribution presents a recommendation approach to suggest to students the more suitable problems to solve for increasing their performance and motivation in POJs. Some key features of the approach are the use of an enriched user-problem matrix that incorporates specific information related to the user performance in the POJ, and the development of a strategy for natural noise management in such a matrix. The experimental evaluation shows the improvements of the proposal as compared to previous works.

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Acknowledgements

This research work was partially supported by the Spanish National research project TIN2015-66524-P, the Spanish Ministry of Economy and Finance Postdoctoral Fellow (IJCI-2015-23715), the Spanish FPU fellowship (FPU13/01151) and ERDF.

Author information

Authors and Affiliations

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

    Raciel Yera

  2. University of Granada, Granada, Spain

    Rosa M. Rodríguez & Jorge Castro

  3. University of Jaén, Jaén, Spain

    Luis Martínez

Authors
  1. Raciel Yera
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  2. Rosa M. Rodríguez
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  3. Jorge Castro
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  4. Luis Martínez
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Corresponding author

Correspondence to Rosa M. Rodríguez .

Editor information

Editors and Affiliations

  1. Computer Science and Information Systems, Bradley University, Peoria, Illinois, USA

    Vladimir L. Uskov

  2. KES International, Bournemouth University, Poole, Dorset, United Kingdom

    Robert J. Howlett

  3. University of Canberra, Canberra, Aust Capital Terr, Australia

    Lakhmi C. Jain

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Yera, R., Rodríguez, R.M., Castro, J., Martínez, L. (2018). A Recommender System for Supporting Students in Programming Online Judges. In: Uskov, V., Howlett, R., Jain, L. (eds) Smart Education and e-Learning 2017. SEEL 2017. Smart Innovation, Systems and Technologies, vol 75. Springer, Cham. https://doi.org/10.1007/978-3-319-59451-4_21

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  • DOI: https://doi.org/10.1007/978-3-319-59451-4_21

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-59450-7

  • Online ISBN: 978-3-319-59451-4

  • eBook Packages: EngineeringEngineering (R0)

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