Computing with CORGIS: Diverse, Real-world Datasets for Introductory Computing

Computing with CORGIS: Diverse, Real-world Datasets for Introductory Computing
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使用 CORGIS 进行计算:用于入门计算的多样化、真实的数据集

DOI:
10.1145/3017680.3017708
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发表时间:
2017
期刊:
Proceedings of the 2017 ACM SIGCSE Technical Symposium on Computer Science Education
影响因子:
--
通讯作者:
E. Tilevich
E. Tilevich
中科院分区:
--
文献类型:
--
作者:
Austin Cory Bart;R. Whitcomb;D. Kafura;C. Shaffer;E. Tilevich

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为了成功地将入门计算引入非CS专业,需要创建一个吸引不同学科学生的课程。一些教育理论强调需要与学生的长期目标相一致的介绍性背景,并被认为是有用的。数据科学,使用算法来操纵真实世界的数据和解释结果,已成为一个具有跨学科价值的领域,并具有强大的潜力作为入门计算课程的吸引力。然而,要找到、清理和集成满足各种学习者的数据集并不容易。CORGIS项目(https://think.cs.vt.edu/corgis)使教师能够轻松地将数据科学融入课堂。具体来说,它提供了包括历史,政治,医学和教育在内的40多个数据集。此外,CORGIS基础设施支持新数据集与Java、Python和Racket的简单库的集成,从而使入门学生能够编写操作真实的数据的程序。最后,CORGIS基于网络的工具允许学习者在没有编程的情况下可视化和探索数据集,使数据科学课程在第一天就可以开始。我们已经将CORGIS作业纳入非专业的入门课程,以研究其对学习者动机的影响,并取得了积极的初步成果。这些结果表明,外部采用者可能会发现CORGIS工具和材料在自己的教学追求有用。
To successfully bring introductory computing to non-CS majors, one needs to create a curriculum that will appeal to students from diverse disciplines. Several educational theories emphasize the need for introductory contexts that align with students' long-term goals and are perceived as useful. Data Science, using algorithms to manipulate real-world data and interpreting the results, has emerged as a field with cross-disciplinary value, and has strong potential as an appealing context for introductory computing courses. However, it is not easy to find, clean, and integrate datasets that will satisfy a broad variety of learners. The CORGIS project (https://think.cs.vt.edu/corgis) enables instructors to easily incorporate data science into their classroom. Specifically, it provides over 40 datasets in areas including history, politics, medicine, and education. Additionally, the CORGIS infrastructure supports the integration of new datasets with simple libraries for Java, Python, and Racket, thus empowering introductory students to write programs that manipulate real data. Finally, the CORGIS web-based tools allow learners to visualize and explore datasets without programming, enabling data science lessons on day one. We have incorporated CORGIS assignments into an introductory course for non-majors to study their impact on learners' motivation, with positive initial results. These results indicate that external adopters are likely to find the CORGIS tools and materials useful in their own pedagogical pursuits.
BRIDGES:一个能够利用真实世界数据和可视化创建引人入胜的数据结构分配的系统
DOI: 10.1145/2839509.2844635
发表时间: 2016
期刊: ACM SIGCSE 2016
影响因子: --
作者:
Burlinson, David;Mehedint, Mihai;Grafer, Chris;Subramanian, Kalpathi;Payton, Jamie;Goolkasian, Paula;Youngblood, Michael;Kosara, Robert
通讯作者: Kosara, Robert