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Introduction to analysing the BlueJ blackbox data (abstract only)

Published:05 March 2014Publication History

ABSTRACT

The Blackbox project, launched in 2013, collects large amounts of data about beginner student behaviour in the BlueJ IDE. In this this workshop, we will introduce researchers to the Blackbox data and show them how to get started with analyzing it to answer their own research question(s). The workshop provides an ideal opportunity to find out what can be done with the Blackbox data, and will be run by the system's architect and maintainer. The data set includes Java source code as well as information about compilations, debugger usage and other compiler interactions. The Blackbox project has over 150,000 users, over 10,000,000 compilations and tens of gigabytes of source code. (For more detailed information, see the paper "Blackbox: A Large Scale Repository of Novice Programmers' Activity" by Brown et al. in the SIGCSE 2014 proceedings.) Computing education researchers may apply for free, permanent access to the data, but is not necessary to do so before this workshop. The session will be hands-on, and participants should bring a laptop that is capable of running an SSH terminal (e.g. Mac OS X, Linux, or PuTTY on Windows) over a wireless connection.

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  1. Introduction to analysing the BlueJ blackbox data (abstract only)

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    • Published in

      cover image ACM Conferences
      SIGCSE '14: Proceedings of the 45th ACM technical symposium on Computer science education
      March 2014
      800 pages
      ISBN:9781450326056
      DOI:10.1145/2538862

      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: 5 March 2014

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      • technical-note

      Acceptance Rates

      SIGCSE '14 Paper Acceptance Rate108of274submissions,39%Overall Acceptance Rate1,595of4,542submissions,35%

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