Reconciling the Promise and Pragmatics of Enhancing Computing Pedagogy with Data Science
Reconciling the Promise and Pragmatics of Enhancing Computing Pedagogy with Data Science
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协调加强计算教学与数据科学的承诺和实用性
DOI：
10.1145/3159450.3159465
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发表时间：
2018
期刊：
影响因子：
--
通讯作者：
E. Tilevich
中科院分区：
文献类型：
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作者：
Austin Cory Bart;D. Kafura;C. Shaffer;E. Tilevich
数据科学作为一门入门级的计算经验，在这门课程中，学生们通过处理数据来回答现实世界的问题，越来越受欢迎。有了精心准备的教学数据集，计算机教育工作者可以以具有社会意义的方式将作业和项目置于环境中，从而有利于学生的长期职业生涯。然而，将数据科学集成到计算入门课程中需要数据集足够复杂，遵循适当的组织结构，并拥有充足的文档。此外，数据科学背景对学生学习动机的影响仍然知之甚少。为了解决这些问题，我们创建了一个开发教学数据集的开源手册（可在https://think.cs.vt.edu/pragmatics免费获得）。作为模式的集合，本手册分享了我们在过去几年中获得的专业知识，收集和策划了世界各地十几所大学使用的大量真实世界数据集。我们还提出了新的证据，证实了在计算机入门课程中整合数据科学的有效性。作为我们正在进行的工作的重要延伸，本研究不仅验证了现有的积极评估，而且还提供了数据科学作为激励教育元素的潜力的细微差别。
Data science keeps growing in popularity as an introductory computing experience, in which students answer real-world questions by processing data. Armed with carefully prepared pedagogical datasets, computing educators can contextualize assignments and projects in societally meaningful ways, thereby benefiting students' long-term professional careers. However, integrating data science into introductory computing courses requires that the datasets be sufficiently complex, follow appropriate organizational structure, and possess ample documentation. Moreover, the impact of a data science context on students' motivation remains poorly understood. To address these issues, we have created an open-sourced manual for developing pedagogical datasets (freely available at https://think.cs.vt.edu/pragmatics). Structured as a collection of patterns, this manual shares the expertise that we have gained over the last several years, collecting and curating a large collection of real-world datasets, used in a dozen of universities worldwide. We also present new evidence confirming the efficacy of integrating data science in an introductory computing course. As a significant extension of our ongoing work, this study not only validates existing positive assessment, but also provides fine-grained nuance to the potential of data science as a motivational educational element.
使用 BRIDGES 将真实世界的数据和可视化引入数据结构课程
DOI：
10.1145/2839509.2850512
发表时间：
2016
期刊：
ACM SIGCSE 2016
影响因子：
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作者：
Subramanian, Kalpathi;Payton, Jamie;Burlinson, David;Mehedint, Mihai
通讯作者：
Mehedint, Mihai