article

Failure rates in introductory programming

Authors:

Jens Bennedsen,

Michael E. CaspersenAuthors Info & Claims

ACM SIGCSE Bulletin, Volume 39, Issue 2

Pages 32 - 36

https://doi.org/10.1145/1272848.1272879

Published: 01 June 2007 Publication History

Abstract

It is a common conception that CS1 is a very difficult course and that failure rates are high. However, until now there has only been anecdotal evidence for this claim. This article reports on a survey among institutions around the world regarding failure rates in introductory programming courses. The article describes the design of the survey and the results. The number of institutions answering the call for data was unfortunately rather low, so it is difficult to make firm conclusions. It is our hope that this article can be the starting point for a systematic collection of data in order to find solid proof of the actual failure and pass rates of CS1.

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Index Terms

Failure rates in introductory programming
1. Social and professional topics
  1. Professional topics
    1. Computing education
      1. Computing education programs
        Computer science education

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cover image ACM SIGCSE Bulletin

ACM SIGCSE Bulletin Volume 39, Issue 2

June 2007

158 pages

ISSN:0097-8418

DOI:10.1145/1272848

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Copyright © 2007 Authors.

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Association for Computing Machinery

New York, NY, United States

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Published: 01 June 2007

Published in SIGCSE Volume 39, Issue 2

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James JYousef M(2024)Auto-Graded Review Questions: A Modern Take on a Classic TechniqueJournal of Computing Sciences in Colleges10.5555/3665464.366547339:6(79-85)Online publication date: 1-Apr-2024
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Bubnic BMernik MKosar T(2024)Exploring the Predictive Potential of Complex Problem-Solving in Computing Education: A Case Study in the Introductory Programming CourseMathematics10.3390/math1211165512:11(1655)Online publication date: 24-May-2024
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Assiri BBashraheel MAlsuri A(2024)Enhanced Student Admission Procedures at Universities Using Data Mining and Machine Learning TechniquesApplied Sciences10.3390/app1403110914:3(1109)Online publication date: 29-Jan-2024
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