语法
计算机科学
语法错误
生产力
抽象语法
心理干预
数学教育
随机博弈
人工智能
程序设计语言
自然语言处理
心理学
数学
数理经济学
经济
宏观经济学
精神科
作者
Paul Denny,Andrew Luxton-Reilly,Ewan Tempero
标识
DOI:10.1145/2325296.2325318
摘要
Identifying and correcting syntax errors is a challenge all novice programmers confront. As educators, the more we understand about the nature of these errors and how students respond to them, the more effective our teaching can be. It is well known that just a few types of errors are far more frequently encountered by students learning to program than most. In this paper, we examine how long students spend resolving the most common syntax errors, and discover that certain types of errors are not solved any more quickly by the higher ability students. Moreover, we note that these errors consume a large amount of student time, suggesting that targeted teaching interventions may yield a significant payoff in terms of increasing student productivity.
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