面向新手程序员的基于块的编程与基于流的编程

D. Mason, Kruti Dave
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引用次数: 11

摘要

人们普遍认为,无论是控制物联网,还是分析周围的数据世界,大多数人都应该具备一定的编程能力。虽然有些人专注于教授传统的基于文本的语言,如Javascript或Python,但有证据表明,对于新手程序员来说,可视化编程语言更容易上手。可视化编程语言分为两大类:基于块的命令式编程,或基于流的函数式编程。然而,目前还没有实证研究来评估这两种类别的相对优劣。本文描述了一项通过Amazon Mechanical Turk对数百名随机人员进行的研究,该研究试图在两种设计得尽可能相似的环境中的一种或另一种环境中编程一些简单的问题,只是范式的选择不同。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Block-based versus flow-based programming for naive programmers
There is wide consensus that most people should have some programming capability, whether to control the Internet of Things, or to analyse the world of data around them. While some people focus on teaching conventional text-based languages like Javascript or Python, there is evidence that visual programming languages are more accessible for naive programmers. Visual programming languages fall into two broad categories: block-based, imperative programming, or flow-based, functional programming. However there have not been empirical studies to evaluate the relative merits of the two categories. This paper describes a study of hundreds of random people via Amazon Mechanical Turk attempting to program some simple problems in one or the other of two environments designed to be as similar as possible, except for the choice of paradigm.
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