计算机程序员在阅读代码时,对形式和意义上的违规行为表现出不同的,依赖于专业知识的脑反应
Chu-Hsuan Kuo1, Chantel S Prat2,3
1Department of Psychology, University of Washington, Seattle, WA, USA. kuoc6@uw.edu.
Scientific reports
|March 5, 2024
概括
学习编码需要理解语法和语义. 大脑的反应显示,语法错误会触发后来的大脑活动 (P600效应),而意义错误会触发早期的活动 (N400效应). 专业知识增强了语法处理.
科学领域:
- 认知神经科学 认知神经科学
- 计算机科学教育计算机科学教育
- 计算语言学 计算语言学
背景情况:
- 编程技能在现代劳动力中日益重要,因此需要更深入地了解如何有效地学习代码.
- 现有的代码理解模型往往缺乏对学习和专业知识背后的神经过程的详细见解.
研究的目的:
- 调查处理Python代码中的语法 (形式) 和语义 (含义) 违规行为的神经相关性.
- 检查不同级别的编程专业知识如何影响代码理解期间的大脑反应.
主要方法:
- 从62名具有不同技能水平的Python程序员那里记录了电生理学大脑反应 (事件相关的潜力).
- 参与者阅读Python代码的几行,其中包括对语法正确性和语义可信性的控制操作.
- 分析的重点是确定与不同类型的错误相关的特定事件相关的潜在组件 (例如N400,P600).
主要成果:
- 语法违规引起了P600效应 (刺激后500-800 ms的正偏移增加),表明基于规则的处理.
- 语义违规引起N400效应 (增加负偏移300-500 ms后刺激),反映了语义整合.
- 更高的Python编程专业知识与对语法违规行为的增强敏感性相关.
结论:
- 熟练的编程理解,类似于自然语言处理,涉及将基于规则的知识整合到在线处理中.
- 对语义合理性的敏感性似乎在所有技能水平上都是一致的,这表明依赖于先前存在的知识.
- 这些发现提供了神经生理学证据,证明了编程中形式和意义的不同处理机制.
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