Modernizing Plan-Composition Studies
Modernizing Plan-Composition Studies
复制标题
现代化计划构成研究
DOI：
10.1145/2839509.2844556
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发表时间：
2016
期刊：
影响因子：
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通讯作者：
J. Siegmund
中科院分区：
文献类型：
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作者：
Kathi Fisler;S. Krishnamurthi;J. Siegmund
计划组成是编程教育中重要但研究不足的话题。大多数研究是在三十年前完成的，假设错过了当今学生必须面对的重要问题。本文介绍了对计划组成的现代化研究的理由和细节，该研究适应了更广泛的编程语言和问题特征。我们的研究设计有两个新颖性：这些问题要求学生应对数据处理挑战（例如嘈杂的数据），并且这些问题要求学生不仅要制作，还可以评估程序。我们在不同语言范式的多个课程中使用我们的研究提出了初步结果。我们讨论了这些结果引起的一些未来研究。
Plan composition is an important but under-studied topic in programming education. Most studies were done three decades ago, under assumptions that miss important issues that today's students must confront. This paper presents rationale and details for a modernized study of plan composition that accommodates a broader range of programming languages and problem features. Our study design has two novelties: the problems require students to deal with data-processing challenges (such as noisy data), and the questions ask students to not only produce but also evaluate programs. We present preliminary results from using our study in multiple courses from different linguistic paradigms. We discuss several future studies that are prompted by these results.