CodeGrader

CodeGrader

A plugin to ease code style grading of student project submissions at UMD/CP CS department.

CodeGrader
What is CodeGrader?
CodeGrader is a Chrome extension developed to ease the burden of Teaching Assistants at University of Maryland by simplifying code style grading for student project submissions. It introduces static code analysis, configurable modules, and provides meaningful feedback to help students improve their coding skills.
Stats
Users: 97
Version: 1.0.3 (Last updated: 2022-07-26)
Creation date: 2022-07-26
Risk impact: Moderate risk impact
Risk likelihood: Low risk likelihood
Manifest version: 3
Permissions:
  • tabs
  • storage
  • activeTab
  • idle
  • alarms
Host permissions:
  • https://submit.cs.umd.edu/*
  • https://submit.cs.umd.edu/*/*
  • https://grades.cs.umd.edu/*
  • https://grades.cs.umd.edu/*/*
  • http://codegrader.net/*
  • file:///*
Size: 4.80M
Stats date:

Other platforms

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Summary

The CodeGrader plugin was developed to ease the burden of Teaching Assistants (TAs) at University of Maryland. Every semester, TAs go through thousands of lines of student code manually, checking it for style, grading it, and reporting back to each student, explaining code style problems to help the students learn to code better.

In 2013, the idea and some code tailored for a couple of specific UMD course was introduced by Dr. Tak Yeon Lee, who shortly obtained his PhD in Human-Computer Interaction from UMD and moved on to Adobe Research. In 2020, another graduate student, Gregory Kramida, led the effort to implement the plugin so it can be used across any Java course in the UMD CS curriculum, introducing static code analysis and modules that can be configured for any UMD Java project using the internal Submit Server. William Kaiyang Siew and Matthew Walter Simmons, both undergraduate teaching assistants at the time, have since aided with the project, which is quickly becoming an indispensable productivity-booster for graders and a great way to issue more meaningful reports to students at a fraction of the time it took for manual grading.

For submitting issues, feature requests, and contributing to the effort, please see the project repository at https://github.com/Algomorph/CodeGrader.

Safety
Risk impact

CodeGrader may not be safe to use and it requires some risky permissions. Exercise caution when installing this extension. Review carefully before installing.

Risk likelihood

CodeGrader has earned a fairly good reputation and likely can be trusted.

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Promo images
CodeGrader small promo image
Small promo image
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