title: "Codepourri: Creating Visual Coding Tutorials Using A Volunteer Crowd Of Learners"
authors: Mitchell Gordon and Philip J. Guo
venue: IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC)
year: 2015
links:
- <a href="codechella-codeopticon-codepourri-papers.htm">Blog post</a>

tweet: Codepourri lets an anonymous online crowd create step-by-step coding tutorials together

abstract: >
  A popular way to learn is by studying written tutorials. However,
  tutorials for computer programming can be tedious to create, since a
  static text-based format cannot visualize what happens as code executes.
  We created a system called Codepourri that enables people to easily
  create visual coding tutorials by annotating steps in an
  automatically-generated program visualization. Using Codepourri, we
  developed a crowdsourcing workflow where learners who are visiting an
  educational website collectively create a tutorial by annotating
  individual steps and then voting on the best annotations. Since there
  are far more learners than experts, using learners as a crowd is a
  potentially more scalable way of creating tutorials. Our experiments
  with 4 expert judges and 101 learners adding 145 raw annotations to
  Python code show the learner crowd's annotations to be accurate,
  informative, and containing some insights that even experts missed.

bibtex: >
  @inproceedings{GordonVLHCC2015codepourri,
    author={Gordon, Mitchell and Guo, Philip J.},
    title={Codepourri: Creating visual coding tutorials using a volunteer crowd of learners},
    booktitle = {Proceedings of the IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC)},
    series = {VL/HCC '15},
    year={2015},
    pages={13-21},
    doi={10.1109/VLHCC.2015.7357193},
    month={Oct}
  }