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OpenDSA: using an active eTextbook to teach data structures and algorithms (abstract only)

Published: 06 March 2013 Publication History

Abstract

We present a study to evaluate OpenDSA, an open source, online system combining textbook-quality content with algorithm visualizations and interactive exercises for data structures and algorithms courses. We hypothesize that answering many questions and exercises with immediate feedback allows students to know whether they are on track with their learning. In a quasi-experimental study, a control group received lecture and textbook for three weeks. The treatment section spent class time working through equivalent content and exercises in OpenDSA. A post-test compared the two. An opinion survey examined students' perception and opinions about the experience. Detailed interaction logs were used to analyze student use of the tutorials and exercises to understand how they used the system.

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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
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.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 06 March 2013

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Author Tags

  1. algorithm visualization
  2. automated assessment
  3. etextbooks

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SIGCSE '13
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Acceptance Rates

SIGCSE '13 Paper Acceptance Rate 111 of 293 submissions, 38%;
Overall Acceptance Rate 1,595 of 4,542 submissions, 35%

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