skip to main content
10.1145/2445196.2445463acmconferencesArticle/Chapter ViewAbstractPublication PagessigcseConference Proceedingsconference-collections
poster

Automated generation and grading of programming assignments (abstract only)

Published:06 March 2013Publication History

ABSTRACT

A problem with teaching large classes of introductory programming students is that students need copious practice but instructors do not have time to grade thousands of student programs. Large classes might require the instructor to restrict the graded programs to a handful. However, students need much more practice than this, and experience shows that if an assignment is not being graded then many students will not do it. Also, if the same problem is assigned to all students, copying of answers will occur. Programs that generate unique assignments and automatically grade submissions have been developed. Beginning with a brief example, this session will focus on experiences attendees have had with such approaches, and what an idealized system might look like, including exemplar use cases.

Index Terms

  1. Automated generation and grading of programming assignments (abstract only)

    Recommendations

    Comments

    Login options

    Check if you have access through your login credentials or your institution to get full access on this article.

    Sign in
    • Published in

      cover image ACM Conferences
      SIGCSE '13: Proceeding of the 44th ACM technical symposium on Computer science education
      March 2013
      818 pages
      ISBN:9781450318686
      DOI:10.1145/2445196

      Copyright © 2013 Copyright is held by the owner/author(s)

      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.

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 6 March 2013

      Check for updates

      Qualifiers

      • poster

      Acceptance Rates

      SIGCSE '13 Paper Acceptance Rate111of293submissions,38%Overall Acceptance Rate1,595of4,542submissions,35%

      Upcoming Conference

      SIGCSE Virtual 2024
      SIGCSE Virtual 2024: ACM Virtual Global Computing Education Conference
      November 30 - December 1, 2024
      Virtual Event , USA
    • Article Metrics

      • Downloads (Last 12 months)0
      • Downloads (Last 6 weeks)0

      Other Metrics