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abstract

CaptainTeach: a platform for in-flow peer review of programming assignments

Published:21 June 2014Publication History

ABSTRACT

Peer review is effective for teaching students to evaluate approaches to problems, fostering collaboration, and assessing other students' work. Peer review often happens after assignments are turned in, on complete artifacts that other students have created. We've been experimenting with a different style of peer review, which we call in-flow reviewing, in which programming assignments are broken into reviewable stages. After students complete each stage they review one anothers' work, allowing for feedback early on in the assignment. We've built a system, dubbed Captain Teach, for exploring in-flow reviewing for both programming and written assignments. In our demonstration and tutorial, we will show what the student experience looks like for a Captain Teach assignment, explain the interface that instructors have for creating assignments in Captain Teach, outline some of the mechanisms for anonymously assigning reviews and distributing feedback, and discuss future directions for the tool.

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  1. CaptainTeach: a platform for in-flow peer review of programming assignments

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    • Published in

      cover image ACM Conferences
      ITiCSE '14: Proceedings of the 2014 conference on Innovation & technology in computer science education
      June 2014
      378 pages
      ISBN:9781450328333
      DOI:10.1145/2591708

      Copyright © 2014 Owner/Author

      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: 21 June 2014

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      ITiCSE '14 Paper Acceptance Rate36of164submissions,22%Overall Acceptance Rate552of1,613submissions,34%

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