How "Wide Walls" Can Increase Engagement: Evidence From a Natural Experiment in Scratch

被引:9
作者
Dasgupta, Sayamindu [1 ]
Hill, Benjamin Mako [1 ]
机构
[1] Univ Washington, Seattle, WA 98195 USA
来源
PROCEEDINGS OF THE 2018 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (CHI 2018) | 2018年
基金
美国国家科学基金会;
关键词
learning; design; computers and children; creativity support tools; evaluation; constructionism; Scratch;
D O I
10.1145/3173574.3173935
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
A core aim for designing constructionist learning systems and toolkits is enabling "wide walls"-a metaphor used to describe supporting a diverse range of creative outcomes. Ensuring that a broad design space is afforded to learners by a toolkit is a common approach to achieving wide walls. We use econometric methods to provide an empirical test of the wide walls theory through a natural experiment in the Scratch online community. We estimate the causal effect of a policy change that gave a large number of Scratch users access to a more powerful version of Scratch data structures, effectively widening the walls for learners. We show that access to and use of these more powerful new data structures caused learners to use data structures more frequently. Our findings provide support for the theory that wide walls can increase engagement and learning.
引用
收藏
页数:11
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