How “Wide Walls” Can Increase Engagement: Evidence From a Natural Experiment in Scratch
How “Wide Walls” Can Increase Engagement: Evidence From a Natural Experiment in Scratch
复制标题
“宽墙”如何提高参与度：来自从头开始的自然实验的证据
DOI：
10.1145/3173574.3173935
复制
发表时间：
2018
期刊：
影响因子：
--
通讯作者：
Benjamin Mako Hill
中科院分区：
文献类型：
--
作者：
Sayamindu Dasgupta;Benjamin Mako Hill
设计建构主义学习系统和工具包的一个核心目标是实现“宽墙”--这是一个用来描述支持各种创造性成果的比喻。确保工具包为学习者提供广阔的设计空间是实现宽墙的常见方法。我们使用计量经济学方法，通过在Scratch在线社区的自然实验，对宽墙理论进行了实证检验。我们估计了政策变化的因果影响，该政策变化允许大量Scratch用户访问更强大的Scratch数据结构版本，从而有效地拓宽了学习者的障碍。我们发现，对这些更强大的新数据结构的访问和使用导致学习者更频繁地使用数据结构。我们的发现支持了宽墙可以提高参与度和学习能力的理论。
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.
维基百科冒险：针对新用户的交互式教程的现场评估
DOI：
10.1145/2998181.2998307
发表时间：
2017
期刊：
Proceedings of the 20th ACM Conference on Computer-Supported Cooperative Work & Social Computing (CSCW ’17
影响因子：
--
作者：
Narayan, Sneha;Orlowitz, Jake;Morgan, Jonathan;Hill, Benjamin Mako;Shaw, Aaron
通讯作者：
Shaw, Aaron