Title | ||
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Codechella: Multi-user program visualizations for real-time tutoring and collaborative learning |
Abstract | ||
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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 nine months of live deployment on an educational website - www.pythontutor.com -people from 296 cities across 40 countries participated in 299 Codechella sessions for both tutoring and collaborative learning. 57% of sessions connected participants from different cities, and 12% from different countries. Participants actively engaged with the program visualizations while chatting, showed affective exchanges such as encouragement and banter, and indicated signs of learning at the lower three levels of Bloom's taxonomy: remembering, understanding, and applying knowledge. |
Year | DOI | Venue |
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2015 | 10.1109/VLHCC.2015.7357201 | 2015 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC) |
Keywords | Field | DocType |
program visualization,collaborative visualization,CS education | TUTOR,World Wide Web,Collaborative learning,Software deployment,Information visualization,Computer science,Visualization,Text box,Human–computer interaction,Multimedia,Computer programming,Multi-user | Conference |
Citations | PageRank | References |
12 | 0.55 | 20 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Philip Guo | 1 | 45 | 2.90 |
Jeffery White | 2 | 16 | 1.34 |
Renan Zanelatto | 3 | 15 | 0.99 |