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PseuToPy: Towards a Non-English Natural Programming Language

Published:17 August 2021Publication History

ABSTRACT

Most text-based programming languages found in introductory programming courses use English words. This fact alone can deter non-English speakers who wish to learn to program: how can we expect them to learn a programming language if they do not even understand the meaning of the keywords they are manipulating? In addition, the syntax and semantics of programming languages are also known causes of learners’ mistakes. In this paper, we highlight these difficulties and then present PseuToPy, a programming language which can be localized in several tongues on the one hand and produce instructions close to these natural languages on the other. PseuToPy is still a work in progress: we have developed a version in French and hope to study its use in an educational context to see whether or not programming beginners find it easier to learn programming by implementing algorithms in their native tongues.

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References

  1. Amjad Altadmri and Neil C.C. Brown. 2015. 37 Million Compilations: Investigating Novice Programming Mistakes in Large-Scale Student Data. In Proceedings of the 46th ACM Technical Symposium on Computer Science Education(SIGCSE ’15). Association for Computing Machinery, New York, NY, USA, 522–527. https://doi.org/10.1145/2676723.2677258Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Yassine Gader, Charles Lefever, and Patrick Wang. 2021. PseuToPy: Vers Un Langage de Programmation Naturel. In Atelier ”Apprendre La Pensée Informatique de La Maternelle à l’Université”, Dans Le Cadre de La Conférence Environnements Informatiques Pour l’Apprentissage Humain (EIAH), Julien Broisin, Christophe Declercq, Cédric Fluckiger, Yannick Parmentier, Yvan Peter, and Yann Secq (Eds.). Fribourg, Switzerland, 87–95.Google ScholarGoogle Scholar
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  • Published in

    cover image ACM Conferences
    ICER 2021: Proceedings of the 17th ACM Conference on International Computing Education Research
    August 2021
    451 pages
    ISBN:9781450383264
    DOI:10.1145/3446871

    Copyright © 2021 Owner/Author

    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    • Published: 17 August 2021

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