title: "Codechella: Multi-User Program Visualizations for Real-Time Tutoring and Collaborative Learning"
authors: Philip J. Guo, Jeffery White, Renan Zanelatto
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: Codechella lets multiple people write code, visualize run-time state, debug, and chat in real time

abstract: >
  An effective way to learn computer programming is to sit side-by-side in
  front of the same computer with a tutor or peer, write code together,
  and then discuss what happens as the code executes. To bring this kind
  of in-person interaction to an online setting, we have developed
  Codechella, a multi-user Web-based program visualization system that
  enables multiple people to collaboratively write code together, explore
  an automatically-generated visualization of its execution state using
  multiple mouse cursors, and chat via an embedded text box. In the past
  nine months of live deployment on an educational website, people from
  296 cities across 40 countries have started 299 Codechella sessions for
  both tutoring and collaborative learning. 57% of sessions connected
  participants from different cities. 69% of actions were visualization
  interactions, which indicates high engagement with program
  visualizations. Finally, participants showed signs of learning at the
  lower three levels of Bloom's taxonomy: remembering, understanding, and
  applying knowledge.

bibtex: >
  @inproceedings{GuoVLHCC2015codechella,
    author={Guo, Philip J. and White, Jeffery and Zanelatto, Renan},
    title={Codechella: Multi-user program visualizations for real-time tutoring and collaborative learning},
    booktitle = {Proceedings of the IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC)},
    series = {VL/HCC '15},
    year={2015},
    pages={79-87},
    doi={10.1109/VLHCC.2015.7357201},
    month={Oct}
  }