论文标题
计算思维的两系统观点
A Two-Systems Perspective for Computational Thinking
论文作者
论文摘要
近来，计算思维（CT）已成为重要的思维技能之一，尤其是对于科学，技术，工程和管理（STEM）毕业生。教育者正在寻找可以对CT进行分析和评估的基本认知模型。本文建议将Kahneman的两系统模型作为了解计算思维过程的框架。卡尼曼（Kahneman）的两系统模型假设人类思维发生在两个层次上，即快速而缓慢的思维。本文通过示例说明了CT活动可以使用Kahneman的两系系统模型来表示和分析。采用Kahneman的两系统观点的潜在好处是，它有助于我们解决在推理中引起错误的偏见。此外，它还提供了一组启发式方法来加快推理活动。
Computational Thinking (CT) has emerged as one of the vital thinking skills in recent times, especially for Science, Technology, Engineering and Management (STEM) graduates. Educators are in search of underlying cognitive models against which CT can be analyzed and evaluated. This paper suggests adopting Kahneman's two-systems model as a framework to understand the computational thought process. Kahneman's two-systems model postulates that human thinking happens at two levels, i.e. fast and slow thinking. This paper illustrates through examples that CT activities can be represented and analyzed using Kahneman's two-systems model. The potential benefits of adopting Kahneman's two-systems perspective are that it helps us to fix the biases that cause errors in our reasoning. Further, it also provides a set of heuristics to speed up reasoning activities.
