文化对视觉调试器中学习者行为的影响

Kyle Thayer, Philip J. Guo, Katharina Reinecke
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引用次数: 2

摘要

世界各地的人们都在使用在线资源学习编程。然而,研究发现,这些学习者可能不会从这些资源中获得平等的利益,特别是因为文化可能会影响人们如何学习和使用在线资源。因此,我们期望看到人们如何使用和受益于可视化调试器的文化差异。我们调查了一种流行的在线调试器的使用情况,它允许用户执行Python代码,并通过使用前进步骤和后退步骤在执行过程中双向导航。我们检查了来自69个国家的78369名用户的行为日志,并对来自82个国家的522名参与者进行了实验。我们发现,来自倾向于自主学习的国家的人(比如那些来自权力距离较低的国家的人,他们的等级制度往往比其他国家的人少)使用的后退次数大约是其他人的两倍。我们还发现,对于那些价值观与指导性学习相一致的个人(那些在“守恒”量表上得分较高的人),后退与较少的调试成功相关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Impact of Culture on Learner Behavior in Visual Debuggers
People around the world are learning to code using online resources. However, research has found that these learners might not gain equal benefit from such resources, in particular because culture may affect how people learn from and use online resources. We therefore expect to see cultural differences in how people use and benefit from visual debuggers. We investigated the use of one popular online debugger which allows users to execute Python code and navigate bidirectionally through the execution using forward-steps and back-steps. We examined behavioral logs of 78,369 users from 69 countries and conducted an experiment with 522 participants from 82 countries. We found that people from countries that tend to prefer self-directed learning (such as those from countries with a low Power Distance, which tend to be less hierarchical than others) used about twice as many back-steps. We also found that for individuals whose values aligned with instructor-directed learning (those who scored high on a “Conservation” scale), back-steps were associated with less debugging success.
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