Document Open Access Logo

Turing Arena Light: Enhancing Programming Education Through Competitive Environments

Authors Giorgio Audrito , Luigi Laura , Alessio Orlandi , Dario Ostuni , Romeo Rizzi , Luca Versari

PDF HTML 5

Files

Thumbnail PDF
PDF
OASIcs.Grossi.11.pdf
  • Filesize: 1.11 MB
  • 14 pages
HTML5 Logo HTML (experimental)
OASIcs.Grossi.11.html

Document Identifiers

Subject Classification

ACM Subject Classification
  • Theory of computation → Design and analysis of algorithms
  • Software and its engineering → Development frameworks and environments
  • Social and professional topics → Computing education
Keywords
  • Competitive Programming
  • Contest Management Systems
  • Online Judges

Metrics

  • Access Statistics
  • Total Accesses (updated on a weekly basis)
    0
    PDF Downloads
    0
    Metadata Views

Abstract

Turing Arena light, the spiritual successor of Turing Arena, is a contest management system that is designed to be more geared towards the needs of classroom teaching, rather than competitive programming contests. It strives to be as simple as possible, while being very flexible and extensible.
The fundamental idea behind Turing Arena light is to have two programs that talk to each other through the standard input and output channels. One of the two programs is the problem manager, which is a program that interacts with a solution to give it the input and evaluate its output, and eventually give a verdict. The other program is the solution, which is the program written by the contestant that is meant to solve the problem.
In this paper we describe the architecture and the design of Turing Arena light.

Cite As Get BibTex

Giorgio Audrito, Luigi Laura, Alessio Orlandi, Dario Ostuni, Romeo Rizzi, and Luca Versari. Turing Arena Light: Enhancing Programming Education Through Competitive Environments. In From Strings to Graphs, and Back Again: A Festschrift for Roberto Grossi's 60th Birthday. Open Access Series in Informatics (OASIcs), Volume 132, pp. 11:1-11:14, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2025) https://doi.org/10.4230/OASIcs.Grossi.11

Author Details

Giorgio Audrito
  • University of Turin, Italy
Luigi Laura
  • International Telematic University Uninettuno, Rome, Italy
Alessio Orlandi
  • Google, Zürich, Switzerland
Dario Ostuni
  • Università degli Studi di Milano, Italy
Romeo Rizzi
  • Università di Verona, Italy
Luca Versari
  • Google, Zürich, Switzerland

Acknowledgements

All the authors of this contribution first met thanks to Roberto Grossi and his dedicated work with the Italian (and International) Olympiads in Informatics. TALight is also a successor of the Fully Integrated Contest Analyzer that Roberto and some of the authors were planning a few years ago that evolved into the CMS [Maggiolo and Mascellani, 2012]. This paper, like the entire volume, is dedicated to Roberto.

Supplementary Materials

References

  1. Giorgio Audrito, Tania Di Mascio, Paolo Fantozzi, Luigi Laura, Gemma Martini, Umberto Nanni, and Marco Temperini. Recommending tasks in online judges. In Advances in Intelligent Systems and Computing, pages 129-136. Springer International Publishing, Cham, 2020. URL: https://doi.org/10.1007/978-3-030-23990-9_16.
  2. Oren Ben-Kiki, Clark Evans, and Brian Ingerson. Yaml ain't markup language (yaml™) version 1.1. Working Draft 2008-05, 11, 2009. Google Scholar
  3. Codeforces. URL: https://codeforces.com/.
  4. Douglas Crockford. The application/json media type for javascript object notation (json). Technical report, IETF, 2006. URL: https://doi.org/10.17487/RFC4627.
  5. Jaap Eldering, Thijs Kinkhorst, and Peter van de Warken. Dom judge-programming contest jury system. 2020, 2010. Google Scholar
  6. Emma Enstrom, Gunnar Kreitz, Fredrik Niemela, Pehr Soderman, and Viggo Kann. Five years with kattis — using an automated assessment system in teaching. In 2011 Frontiers in Education Conference (FIE), pages T3J-1-T3J-6. IEEE, October 2011. URL: https://doi.org/10.1109/FIE.2011.6142931.
  7. P Fantozzi and L Laura. Recommending tasks in online judges using autoencoder neural networks. Olymp. Inform., December 2020. URL: https://doi.org/10.15388/ioi.2020.05.
  8. Paolo Fantozzi and Luigi Laura. Collaborative recommendations in online judges using autoencoder neural networks. In Advances in Intelligent Systems and Computing, pages 113-123. Springer International Publishing, Cham, 2021. URL: https://doi.org/10.1007/978-3-030-53036-5_12.
  9. Paolo Fantozzi and Luigi Laura. A dynamic recommender system for online judges based on autoencoder neural networks. In Methodologies and Intelligent Systems for Technology Enhanced Learning, 10th International Conference. Workshops, pages 197-205. Springer International Publishing, Cham, 2021. URL: https://doi.org/10.1007/978-3-030-52287-2_20.
  10. Ian Fette and Alexey Melnikov. The websocket protocol, 2011. URL: https://doi.org/10.17487/RFC6455.
  11. Github. URL: https://github.com/.
  12. Google code jam. URL: https://codingcompetitionsonair.withgoogle.com/#code-jam.
  13. Google drive. URL: https://drive.google.com/.
  14. Brad Green and Shyam Seshadri. AngularJS. O'Reilly Media, Inc., 2013. Google Scholar
  15. Carl Hewitt, Peter Bishop, and Richard Steiger. A universal modular actor formalism for artificial intelligence. In Proceedings of the 3rd international joint conference on Artificial intelligence, pages 235-245, 1973. URL: http://ijcai.org/Proceedings/73/Papers/027B.pdf.
  16. C. A. R. Hoare. Communicating sequential processes. Commun. ACM, 21(8):666-677, 1978. URL: https://doi.org/10.1145/359576.359585.
  17. Fariha Iffath, A. S. M. Kayes, Md. Tahsin Rahman, Jannatul Ferdows, Mohammad Shamsul Arefin, and Md. Sabir Hossain. Online judging platform utilizing dynamic plagiarism detection facilities. Comput., 10(4):47, April 2021. URL: https://doi.org/10.3390/computers10040047.
  18. José Paulo Leal and Fernando M. A. Silva. Mooshak: a web-based multi-site programming contest system. Softw. Pract. Exp., 33(6):567-581, 2003. URL: https://doi.org/10.1002/spe.522.
  19. Stefano Maggiolo and Giovanni Mascellani. Introducing CMS: A contest management system. Olympiads in Informatics, 6, 2012. Google Scholar
  20. Stefano Maggiolo, Giovanni Mascellani, and Luca Wehrstedt. Cms: a growing grading system. Olympiads in Informatics, page 123, 2014. Google Scholar
  21. Nicholas D Matsakis and Felix S Klock. The rust language. ACM SIGAda Ada Letters, 34(3):103-104, 2014. URL: https://doi.org/10.1145/2663171.2663188.
  22. Dirk Merkel et al. Docker: lightweight linux containers for consistent development and deployment. Linux j, 239(2):2, 2014. Google Scholar
  23. Meta hacker cup. URL: https://www.facebook.com/codingcompetitions/hacker-cup.
  24. Onedrive. URL: https://onedrive.live.com/.
  25. Michael Owens. The definitive guide to SQLite. Springer, 2006. Google Scholar
  26. Minh Tuan Pham and Tan Bao Nguyen. The domjudge based online judge system with plagiarism detection. In 2019 IEEE-RIVF International Conference on Computing and Communication Technologies, RIVF 2019, Danang, Vietnam, March 20-22, 2019, pages 1-6. IEEE, March 2019. URL: https://doi.org/10.1109/RIVF.2019.8713763.
  27. Pyodide. URL: https://pyodide.org/.
  28. Miguel A Revilla, Shahriar Manzoor, and Rujia Liu. Competitive learning in informatics: The uva online judge experience. Olympiads in Informatics, 2:131-148, 2008. Google Scholar
  29. Serde. URL: https://serde.rs/.
  30. Tokio. URL: https://tokio.rs/.
  31. Turing arena. URL: https://github.com/turingarena/turingarena.
  32. Turing arena light. URL: https://github.com/romeorizzi/TALight.
  33. Turing arena light desktop. URL: https://talco-team.github.io/TALightDesktop/.
  34. Turing arena light rust utilities. URL: https://github.com/dariost/tal-utils-rs.
  35. Typescript. URL: https://www.typescriptlang.org/.
  36. Guido Van Rossum et al. Python programming language. In USENIX annual technical conference, volume 41, pages 1-36. Santa Clara, CA, 2007. Google Scholar
  37. Szymon Wasik, Maciej Antczak, Jan Badura, Artur Laskowski, and Tomasz Sternal. A survey on online judge systems and their applications. ACM Comput. Surv., 51(1):3:1-3:34, January 2018. URL: https://doi.org/10.1145/3143560.
  38. Yutaka Watanobe, Md. Mostafizer Rahman, Taku Matsumoto, Rage Uday Kiran, and Penugonda Ravikumar. Online judge system: Requirements, architecture, and experiences. Int. J. Softw. Eng. Knowl. Eng., 32(6):917-946, June 2022. URL: https://doi.org/10.1142/S0218194022500346.
Any Issues?
X

Feedback on the Current Page

CAPTCHA

Thanks for your feedback!

Feedback submitted to Dagstuhl Publishing

Could not send message

Please try again later or send an E-mail
© 2023-2025 Schloss Dagstuhl – LZI GmbH About DROPS Imprint Privacy Contact