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Auto-Graded Programming Labs: Dos and Don'ts for Less-Stressed Higher-Performing Students, Reduced Grading Time, and Happier Teachers,

Published: 22 February 2019 Publication History

Abstract

Program auto-graders used to be tough applications to install and use by instructors, meaning many instructors avoided them, and for those that used them, most assignments were created by specialists with scripting and other expertise. As such, creating new auto-graded programming assignments was a rare event done by just a few people. But modern cloud-based program auto-graders enable nearly any instructor or TA to create new auto-graded assignments in just tens of minutes, fully created and carried out via the web. This capability has led to an explosion in the number of instructors and TAs creating auto-graded programming assignments, benefiting students via immediate feedback and the option to resubmit, and saving teachers huge amounts of grading time. BUT, this new frontier is very different from hand-graded assignments, with plenty of pitfalls for teachers to avoid, and emerging best practices. This BOF allows teachers to share do's and don'ts, so each can improve their use of auto-graded labs, and teachers new to auto-graded labs can benefit from others' experiences. Special focus is on early CS classes (CS0, CS1, CS2) but topics may apply to many CS classes.

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  1. Auto-Graded Programming Labs: Dos and Don'ts for Less-Stressed Higher-Performing Students, Reduced Grading Time, and Happier Teachers,

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    cover image ACM Conferences
    SIGCSE '19: Proceedings of the 50th ACM Technical Symposium on Computer Science Education
    February 2019
    1364 pages
    ISBN:9781450358903
    DOI:10.1145/3287324
    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: 22 February 2019

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    Author Tags

    1. automation
    2. cs1
    3. feedback
    4. grading
    5. labs
    6. program auto-grading
    7. programming assignments

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    SIGCSE '19
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    SIGCSE '19 Paper Acceptance Rate 169 of 526 submissions, 32%;
    Overall Acceptance Rate 1,787 of 5,146 submissions, 35%

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