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Supporting Team Submissions and Peer Grading within Submitty: (Abstract Only)

Published: 21 February 2018 Publication History

Abstract

Submitty is an open source programming assignment submission system from the Rensselaer Center for Open Source Software (RCOS) at Rensselaer Polytechnic Institute (RPI) accessed via an online interface. Submitty allows students to submit their code through file upload or version control, such as an internal Git/SVN server or Github, where it is then tested with a highly configurable and customizable automated grader. For each assignment, instructors can specify whether or not students can work in teams. For team assignments, the instructor can either assign teammates or allow the students to choose. In addition to the auto-grading for submissions, Submitty supports human grading. The human graded rubric is developed by the graders as they work, allowing reuse of common feedback messages and partial credit points. The rubric can be searched and modified during and after grading is complete for consistency. By default, grading is handled by instructors and TAs who are assigned to sections of students, which can be rotated through the semester. However, an instructor can choose to incorporate peer grading, which will allow students to anonymously view and submit grades for each other, receiving multiple peer grades per assignment. Submitty has been used at RPI for several years for a variety of courses, serving over 1500 students and 50 instructors and TAs each semester, and has recently been used by several other universities. We will present "case studies" of assignment configurations for autograding and manual grading and demonstrate the grading interface in support of team submissions and peer grading.

References

[1]
Lui, Kim Man (September 2006). "Pair programming productivity: Novice--novice vs. expert--expert". International Journal of Human--Computer Studies. 64 (9): 915--925
[2]
Cockburn, Alistair; Williams, Laurie (2000). "The Costs and Benefits of Pair Programming". Proceedings of the First International Conference on Extreme Programming and Flexible Processes in Software Engineering (XP2000).
[3]
Grant Braught, Tim Wahls, and L. Marlin Eby. 201 The Case for Pair Programming in the Computer Science Classroom. Trans. Comput. Educ. 11, 1, Article 2 (February 2011), 21 pages.
[4]
D. Chinn. 2005. Peer assessment in the algorithms course. ACM SIGCSE Bulletin 37, 3 (2005), 69--73
[5]
Submitty, Rensselear Center for Open Source Software, https://github.com/Submitty/, http://submitty.org.

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Published In

cover image ACM Conferences
SIGCSE '18: Proceedings of the 49th ACM Technical Symposium on Computer Science Education
February 2018
1174 pages
ISBN:9781450351034
DOI:10.1145/3159450
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: 21 February 2018

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Author Tags

  1. autograding
  2. education
  3. peer grading
  4. team assignments
  5. version control

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  • Demonstration

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SIGCSE '18
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SIGCSE '18 Paper Acceptance Rate 161 of 459 submissions, 35%;
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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