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Using a visual programming language to bridge the cognitive gap between a novice's mental model and program code.

机译:使用视觉编程语言弥合新手心理模型与程序代码之间的认知鸿沟。

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摘要

Current research suggests that many students do not know how to program very well at the conclusion of their introductory programming course. We believe that a reason novices have such difficulties learning programming is because engineering novices often learn through a lecture format where someone with programming knowledge lectures to novices, the novices attempt to absorb the content, and then reproduce it during exams. By primarily appealing to programming novices who prefer to understand visually, we research whether programming novices understand programming better if computer science concepts are presented using a visual programming language than if these programs are presented using a text-based programming language. This method builds upon previous research that suggests that most engineering students are visual learners, and we propose that using a flow-based visual programming language will address some of the most important and difficult topics to novices of programming. We use an existing flow-model tool, RAPTOR, to test this method, and share the program understanding results using this theory.
机译:当前的研究表明,许多学生在入门编程课程结束时并不知道如何很好地编程。我们认为,新手在学习编程方面遇到这样的困难的原因是,工程新手通常通过讲座形式进行学习,在这种形式中,具有编程知识的人向新手讲课,新手会尝试吸收内容,然后在考试期间进行复制。通过主要吸引喜欢视觉上理解的编程新手,我们研究了如果使用视觉编程语言来呈现计算机科学概念,而不是使用基于文本的编程语言来呈现这些程序,那么编程新手是否能够更好地理解编程。这种方法建立在先前的研究基础之上,该研究表明大多数工程专业的学生都是视觉学习者,并且我们建议使用基于流的视觉编程语言可以解决编程新手最重要和最困难的主题。我们使用现有的流程模型工具RAPTOR来测试此方法,并使用该理论分享程序对结果的理解。

著录项

  • 作者

    Smith, Bryan J.;

  • 作者单位

    The University of Alabama in Huntsville.;

  • 授予单位 The University of Alabama in Huntsville.;
  • 学科 Psychology Cognitive.;Computer Science.;Education Sciences.
  • 学位 Ph.D.
  • 年度 2011
  • 页码 348 p.
  • 总页数 348
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 TS97-4;
  • 关键词

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