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poster

Classroom interventions to reduce failure & course withdrawal in CS1 (abstract only)

Published:06 March 2013Publication History

ABSTRACT

This poster reports on a set of classroom interventions at a public urban university to reduce the failure and withdrawal rate in CS1. Though unsuccessful in their original goal of reducing the number of students withdrawing from the course or receiving poor grades, the interventions provided valuable information suggesting contributors to poor course outcomes. These included concurrent full-time enrollment and full-time employment and lack of foundational skills. We also found that at-risk students could be identified with a one-page quiz the third week of the semester. We have made several course revisions going forward, including restructuring programming assignments and adding online practice problems, and revised our academic advising procedures.

References

  1. Bennedsen, J., Capsersen, M. (2007). Failure rates in introductory programming. Inroads-The SIGCSE Bulletin, June 2007, 39:2, 32--36. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Turingscraft, Inc. My Programming Lab. http://myprogramminglab.comGoogle ScholarGoogle Scholar

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  1. Classroom interventions to reduce failure & course withdrawal in CS1 (abstract only)

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    • 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

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      • poster

      Acceptance Rates

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

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