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Halving fail rates using peer instruction: a study of four computer science courses

Published:06 March 2013Publication History

ABSTRACT

Peer Instruction (PI) is a teaching method that supports student-centric classrooms, where students construct their own understanding through a structured approach featuring questions with peer discussions. PI has been shown to increase learning in STEM disciplines such as physics and biology. In this report we look at another indicator of student success the rate at which students pass the course or, conversely, the rate at which they fail. Evaluating 10 years of instruction of 4 different courses spanning 16 PI course instances, we find that adoption of the PI methodology in the classroom reduces fail rates by a per-course average of 61% (20% reduced to 7%) compared to standard instruction (SI). Moreover, we also find statistically significant improvements within-instructor. For the same instructor teaching the same course, we find PI decreases the fail rate, on average, by 67% (from 23% to 8%) compared to SI. As an in-situ study, we discuss the various threats to the validity of this work and consider implications of wide-spread adoption of PI in computing programs.

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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 ACM

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      New York, NY, United States

      Publication History

      • Published: 6 March 2013

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

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