Not Everyone Writes Good Examples but Good Examples Can Come from Anywhere

Shayan Doroudi, Ece Kamar, E. Brunskill
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引用次数: 12

Abstract

In many online environments, such as massive open online courses and crowdsourcing platforms, many people solve similar complex tasks. As a byproduct of solving these tasks, a pool of artifacts are created that may be able to help others perform better on similar tasks. In this paper, we explore whether work that is naturally done by crowdworkers can be used as examples to help future crowdworkers perform better on similar tasks. We explore this in the context of a product comparison review task, where workers must compare and contrast pairs of similar products. We first show that randomly presenting one or two peer-generated examples does not significantly improve performance on future tasks. In a second experiment, we show that presenting examples that are of sufficiently high quality leads to a statistically significant improvement in performance of future workers on a near transfer task. Moreover, our results suggest that even among high quality examples, there are differences in how effective the examples are, indicating that quality is not a perfect proxy for pedagogical value.
不是每个人都能写出好的例子,但是好的例子可以来自任何地方
在许多网络环境中,例如大规模的在线公开课程和众包平台,许多人解决类似的复杂任务。作为解决这些任务的副产品,创建了一个工件池,可以帮助其他人更好地执行类似的任务。在本文中,我们探讨了是否可以将众包工作者自然完成的工作作为例子,以帮助未来的众包工作者在类似的任务中表现得更好。我们在产品比较审查任务的背景下探索这一点,工人必须比较和对比对类似的产品。我们首先表明,随机呈现一个或两个同伴生成的示例并不能显著提高未来任务的性能。在第二个实验中,我们表明,提供足够高质量的例子,可以在统计上显著提高未来员工在近转移任务中的表现。此外,我们的研究结果表明,即使在高质量的例子中,例子的效果也存在差异,这表明质量并不是教学价值的完美代表。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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