Putting a Context in Context: Investigating the Context of Pencil Puzzles in Multiple Academic Environments

Putting a Context in Context: Investigating the Context of Pencil Puzzles in Multiple Academic Environments
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将语境置于语境中:调查多种学术环境中铅笔谜题的语境

DOI:
10.1145/3545945.3569848
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发表时间:
2023
期刊:
ACM
影响因子:
--
通讯作者:
Brilliantova, Angelina
Brilliantova, Angelina
中科院分区:
--
文献类型:
--
作者:
Butler, Zack;Bezáková, Ivona;Brilliantova, Angelina

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使用精心选择的课程作业背景被广泛认为是对学生的激励。然而,它是具有挑战性的研究,使一个特定的背景下计算课程的效用,在不同类型的机构和学生演示图形。这在入门计算中尤其如此,因为课程差异很大,例如,在主题顺序和覆盖深度方面。在这份经验报告中,我们提出了我们的方法,并从中吸取了教训,研究在各种环境中的介绍性计算任务的特定上下文的有效性。我们专注于铅笔谜题(数独或填字游戏等谜题,旨在使用铅笔在纸上解决)的背景,以及基于铅笔谜题的作业在不同机构入门课程中的部署和适应。我们描述了我们的整体流程,包括从各种机构招聘教师,开发和部署作业,收集学生成绩和调查数据(包括所有必要的批准)。通过设计,我们没有在每个大学使用相同的任务,因为我们的目的是研究潜在的背景,而不是一个特定的任务,同时也建立了不同情况下的适应性。我们讨论了所得数据集的异质性,我们如何选择分析它,以及从这些数据中可以(和不能)得出什么结论。最后,我们总结了从这一经历中吸取的经验教训,希望这些经验教训能够帮助那些希望在不同情况下宣传其创新并研究其创新的人。
The use of a well-chosen context for course assignments is widely regarded as motivating for students. However, it is challenging to study the utility of bringing a particular context to computing courses across different types of institutions and student demo- graphics. This is especially true in introductory computing since courses vary widely, for example, in topic order and depth of coverage. In this experience report, we present our approach to, and lessons learned from, studying the efficacy of a specific context for introductory computing assignments across a variety of environments. We focus on the context of pencil puzzles (puzzles like Sudoku or crosswords, designed to be solved on paper using a pencil) and the deployment and fit of pencil-puzzle-based assignments across different institutions' introductory curricula. We describe our overall process, including recruitment of instructors from a variety of institutions, development and deployment of assignments, and collection of student grade and survey data (including all necessary approvals). By design, we did not use the same assignment at each university, since we aimed to study the underlying context rather than a specific assignment, while also establishing the adoptability of the context to different circumstances. We discuss the heterogeneity of the resulting data set, how we chose to analyze it, and what conclusions can (and cannot) be drawn from such data. We conclude with lessons learned from this experience, with the hopes that they can help others who wish to propagate their innovations and study them in diverse situations.
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