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MOCSIDE: An Open-source and Scalable Online IDE and Auto-Grader for Computer Science Education

Published: 03 March 2022 Publication History

Abstract

Programming is learned through practice, with said practice in introductory programming courses often translating to a prohibitively large number of assignments, increasing the grading workload for faculty and/or teaching assistants. In short, this is unsustainable. Several publishers and a few notable companies have provided meritable auto-grading solutions, although most are plagued with problems including minimal problem sets, limited customization options, high cost, and at times even a disconnect with the pedagogical needs of academia. This poster presents our newly-developed web application, MOCSIDE, an open-source and scalable online IDE and auto-grader for computer science education. Results indicate a positive user experience from students and instructors alike, with cost savings, ease of use, and code collaboration highlighted as key features.

References

[1]
Georgiana Haldeman, Andrew Tjang, Monica Babecs-Vroman, Stephen Bartos, Jay Shah, Danielle Yucht, and Thu D. Nguyen. 2018. Providing Meaningful Feedback for Autograding of Programming Assignments. In Proceedings of the 49th ACM Technical Symposium on Computer Science Education (Baltimore, Maryland, USA) (SIGCSE '18). Association for Computing Machinery, New York, NY, USA, 278--283. https://doi.org/10.1145/3159450.3159502
[2]
Emlyn Hegarty-Kelly and Dr Aidan Mooney. 2021. Analysis of an Automatic Grading System within First Year Computer Science Programming Modules. In Computing Education Practice 2021 (Durham, United Kingdom) (CEP '21). Association for Computing Machinery, New York, NY, USA, 17--20. https://doi.org/10.1145/3437914.3437973

Cited By

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  • (2024)Terra: a cloud-free browser-based IDE for teachingProceedings of the 24th Koli Calling International Conference on Computing Education Research10.1145/3699538.3699585(1-2)Online publication date: 12-Nov-2024

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Published In

cover image ACM Conferences
SIGCSE 2022: Proceedings of the 53rd ACM Technical Symposium on Computer Science Education V. 2
March 2022
254 pages
ISBN:9781450390712
DOI:10.1145/3478432
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: 03 March 2022

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Author Tags

  1. auto-grading
  2. computer science education
  3. cs1
  4. cs2
  5. online ide

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SIGCSE 2022
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Overall Acceptance Rate 1,595 of 4,542 submissions, 35%

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SIGCSE TS 2025
The 56th ACM Technical Symposium on Computer Science Education
February 26 - March 1, 2025
Pittsburgh , PA , USA

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Cited By

View all
  • (2024)Terra: a cloud-free browser-based IDE for teachingProceedings of the 24th Koli Calling International Conference on Computing Education Research10.1145/3699538.3699585(1-2)Online publication date: 12-Nov-2024

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