MazeStar: A Platform for Studying Virtual Identity and Computer Science Education

被引：6
作者：
Kao, Dominic [1 ]
Harrell, D. Fox [1 ]
机构：
[1] MIT, 77 Massachusetts Ave, Cambridge, MA 02139 USA
来源：
PROCEEDINGS OF THE 12TH INTERNATIONAL CONFERENCE ON THE FOUNDATIONS OF DIGITAL GAMES (FDG'17) | 2017年
基金：
美国国家科学基金会; 加拿大自然科学与工程研究理事会;
关键词：
Educational platforms; educational games; virtual identity; avatars; SELF-REPRESENTATION; AGENTS;
D O I：
10.1145/3102071.3116221
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
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.
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页数：6
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