MazeStar: platform for studying virtual identity and computer science education
Name
kao2017fdg.pdf
Description
Accepted version
Size
1.44 MB
Format
Adobe PDF
Checksum (MD5)
4532016cad62c4651e259c9ebf7f2fb6
Author(s)
Kao, Dominic
Harrell, D. Fox
Date Issued
August 2017
Journal
Proceedings of the 12th International Conference on the Foundations of Digital Games
Publisher
ACM Press
Citation
Kao, Dominic and D. Fox Harrell. "MazeStar: a platform for studying virtual identity and computer science education." Proceedings of the 12th International Conference on the Foundations of Digital Games, August 2017, New York, NY, USA, ACM Press, August 2017. © 2017 The Authors
Version
Author's final manuscript
Abstract
This paper presents an overview of the MazeStar platform for Computer Science education. MazeStar is both a game (Mazzy) that teaches programming concepts like loops and conditionals, and a game editor which allows players to create and share their own game levels. By playing and creating, players are using computing concepts (e.g., block structuring, parallelism, etc.) and computing practices (e.g., debugging, iterative prototyping, etc.). To date the MazeStar platform has been used in controlled user studies involving > 10,000 participants. Here, our goal is to detail the different components of the MazeStar platform, and how we have/are leveraging these components to study the interplay of education, games/game-making, and virtual identity.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1145/3102071.3116221
