NRT-IGE: Augmenting, Piloting, and Scaling Computational Notebooks to Train New Graduate Researchers in Data-Centric Programming

NRT-IGE：增强、试点和扩展计算笔记本以培训新研究生研究人员进行以数据为中心的编程

基本信息

批准号：
1735234
负责人：
James Hollan
金额：
$ 49.88万
依托单位：
University of California-San Diego
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2017
资助国家：
美国
起止时间：
2017-09-01 至 2021-08-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1735234&HistoricalAwards=false
关键词：
NRT IGE Augmenting Piloting Scaling

项目摘要

Every research area is confronting torrents of data arriving with increasing velocity, volume, and variety. The unprecedented scales of data, the accelerating pace of its accumulation, and disappearing disciplinary boundaries bring exciting research and development opportunities but also challenge traditional graduate education. A central challenge for virtually every discipline is ensuring students have the computational skills needed for increasingly data-intensive research and necessary for a competitive and rapidly evolving job market. Across the biological, physical, and social sciences, one common approach to addressing this challenge is to create bootcamps, which are introductory short courses for new graduate students. This National Science Foundation Research Traineeship (NRT) award in the Innovations in Graduate Education (IGE) Track to the University of California - San Diego will expand on the bootcamp approach and simultaneously exploit the growing movement for the creation of computational notebooks by augmenting Jupyter Notebook, a web-based notebook with novel online facilities for data-centric programming training for graduate students in a wide range of disciplines. This has the potential to improve the efficacy of training graduate students in data-centric programming and expand its impact by making new instructional facilities widely available via the web.Building on open-source Jupyter Notebook software and widely deployed educational tools the investigators have developed to support tutoring (Python Tutor), feedback (PeerStudio), discussion (Talkabout), and activity capture (ChronoViz), the project will augment Jupyter Notebook to assist in training new graduate students in data-centric programming. This project will iteratively design, pilot, and evaluate the augmented notebooks and associated new companion curricula in bootcamps and ongoing classes to validate the approach, and make the resulting system, tailored to specific discipline requirements, available online to be widely shared, evolved, and extended in bootcamps, graduate classes, and online courses. In addition, project members will participate in the UC San Diego STARS (Summer Training for Academic Research Success) outreach program and involve high school students from the innovative Preuss School on campus and other high schools in the area. To extend impact beyond publication, education, and local outreach, project members will work closely with the Project Jupyter team to form a community to further develop and evolve this approach for training students in data-centric programming and help fulfill the promise that increased sharing of data and analyses holds for advancing open scientific collaboration and reproducible science.The NSF Research Traineeship (NRT) Program is designed to encourage the development and implementation of bold, new, potentially transformative models for STEM graduate education training. The Innovations in Graduate Education Track is dedicated solely to piloting, testing, and evaluating novel, innovative, and potentially transformative approaches to graduate education.

每个研究领域都面对数据到达的洪流，速度，体积和多样性的增加。空前的数据量表，其积累的加速速度以及消失的纪律界限带来了令人兴奋的研发机会，同时也挑战了传统的研究生教育。几乎每个学科的核心挑战是确保学生具有越来越多的数据密集型研究所需的计算技能，对于竞争性和快速发展的就业市场所需的必要条件。在整个生物学，身体和社会科学中，应对这一挑战的一种常见方法是创建训练营，这是新研究生的入门简短课程。这项国家科学基金会研究训练（NRT）奖学金创新（IGE）轨道（IGE）到加利福尼亚大学 - 圣地亚哥 - 将扩展基于训练营的方法，并同时利用日益增长的运动来创建计算笔记本，通过增强基于网络的在线设施的网络设施，用于用于数据计中学生的新型在线设施，以增强基于网络的笔记本，以进行数据计算机培训，以培训研究生培训。 This has the potential to improve the efficacy of training graduate students in data-centric programming and expand its impact by making new instructional facilities widely available via the web.Building on open-source Jupyter Notebook software and widely deployed educational tools the investigators have developed to support tutoring (Python Tutor), feedback (PeerStudio), discussion (Talkabout), and activity capture (ChronoViz), the project will augment Jupyter笔记本以帮助培训新的研究生以数据为中心的编程。该项目将在训练营和正在进行的课程中进行迭代设计，试点和评估增强的笔记本电脑和相关的新伴侣课程，以验证该方法，并制造出适用于特定学科要求的最终系统，可在线使用，以广泛共享，进化，进化和扩展，并在训练营，研究生级别，研究生级和在线curss中进行。此外，项目成员将参加圣地亚哥分校的明星（夏季学术研究成功培训）外展计划，并参与来自校园和该地区其他高中创新的Preuss学校的高中生。为了扩展影响的影响，超越出版，教育和地方宣传，项目成员将与项目jupyter团队紧密合作，形成一个社区，以进一步发展和进化这种方法，以培训学生进行以数据为中心的编程，并有助于实现增加数据的共享和分析的承诺，以推进开放性的科学合作和可重复的科学，以推动开放的科学合作。研究生教育培训。研究生教育轨道的创新仅致力于试点，测试和评估新颖，创新和潜在的变革性研究生教育方法。

项目成果

期刊论文数量（9）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Towards a dynamic multiscale personal information space: beyond application and document centered views of information

迈向动态多尺度个人信息空间：超越以应用程序和文档为中心的信息视图

DOI：
10.1145/3397537.3397542
发表时间：
2020
期刊：
Programming '20
影响因子：
0
作者：
Fox, Amy Rae;Guo, Philip;Klokmose, Clemens Nylandsted;Dalsgaard, Peter;Satyanarayan, Arvind;Xia, Haijun;Hollan, James D.
通讯作者：
Hollan, James D.

Aiding Collaborative Reuse of Computational Notebooks with Annotated Cell Folding

通过带注释的单元折叠帮助计算笔记本的协作重用

DOI：
10.1145/3274419
发表时间：
2018
期刊：
Proceedings of the ACM on Human-Computer Interaction
影响因子：
0
作者：
Rule, Adam;Drosos, Ian;Tabard, Aurélien;Hollan, James D.
通讯作者：
Hollan, James D.

Practitioners Teaching Data Science in Industry and Academia: Expectations, Workflows, and Challenges

DOI：
10.1145/3290605.3300493
发表时间：
2019-01-01
期刊：
CHI 2019: PROCEEDINGS OF THE 2019 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS
影响因子：
0
作者：
Kross, Sean;Guo, Philip J.
通讯作者：
Guo, Philip J.

Wrex: A Unified Programming-by-Example Interaction for Synthesizing Readable Code for Data Scientists

Wrex：用于为数据科学家合成可读代码的统一示例编程交互