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Applying cognitive load theory to generate effective programming tutorials

机译:应用认知负荷理论生成有效的编程教程

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Many programmers, including novices, often attempt to solve their coding problems by searching the web for example code [1]. Because these programmers are invested in their current project, they are motivated to discover a solution to their problem [2]. While searching the web for a solution, they may encounter source code that addresses their issue and also contains programming concepts that are new to user. Unfortunately, novice programmers often struggle to understand the source code and can fail to successfully integrate the code into their programs [3]. To help novice programmers understand unfamiliar source code, we propose automatically generating tutorials from source code to help these programmers acquire new programming skills in the course of working on their own chosen projects.
机译:许多程序员,包括新手,经常尝试通过在网络上搜索例如代码[1]来解决他们的编码问题。由于这些程序员投资于他们当前的项目,因此他们有动力找到解决问题的方法[2]。在网络上寻找解决方案时,他们可能会遇到源代码,这些源代码解决了他们的问题,并且还包含用户不熟悉的编程概念。不幸的是,新手程序员经常难以理解源代码,并且可能无法将代码成功集成到他们的程序中[3]。为了帮助新手程序员理解陌生的源代码,我们建议自动从源代码生成教程,以帮助这些程序员在处理自己选择的项目的过程中获得新的编程技能。

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