A Randomized Controlled Trial on the Wild Wild West of Scientific Computing with Student Learners

Author:

Rafalski Timothy1,Uesbeck P. Merlin1,Panks-Meloney Cristina1,Daleiden Patrick1,Allee William1,Mcnamara Amelia2,Stefik Andreas1

Affiliation:

1. University of Nevada, Las Vegas, Las Vegas, NV, USA

2. University of St Thomas, St. Paul-Minneapolis, MN, USA

Funder

National Science Foundation

Publisher

ACM

Reference48 articles.

1. Ben Baumer Mine Cetinkaya-Rundel Andrew Bray Linda Loi and Nicholas J. Horton. 2014. R Markdown: Integrating A Reproducible Analysis Tool into Introductory Statistics. arXiv:1402.1894 {stat} (Feb. 2014). arxiv: stat/1402.1894 Ben Baumer Mine Cetinkaya-Rundel Andrew Bray Linda Loi and Nicholas J. Horton. 2014. R Markdown: Integrating A Reproducible Analysis Tool into Introductory Statistics. arXiv:1402.1894 {stat} (Feb. 2014). arxiv: stat/1402.1894

2. Benjamin Baumer Daniel Kaplan and Nicholas J. Horton. 2017. Modern Data Science with R .CRC Press Taylor & Francis Group CRC Press is an imprint of the Taylor & Francis Group an informa business Boca Raton. QA76.9.D343 B38 2017 Benjamin Baumer Daniel Kaplan and Nicholas J. Horton. 2017. Modern Data Science with R .CRC Press Taylor & Francis Group CRC Press is an imprint of the Taylor & Francis Group an informa business Boca Raton. QA76.9.D343 B38 2017

3. An Effective Approach to Enhancing Compiler Error Messages

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Teaching modeling in introductory statistics: A comparison of formula and tidyverse syntaxes;Journal of Statistics and Data Science Education;2024-08-26

2. Coding Code: Qualitative Methods for Investigating Data Science Skills;Journal of Statistics and Data Science Education;2023-11-03

3. Collaboration Crushes Competition!;The Science Teacher;2021-07

4. On Designing Programming Error Messages for Novices: Readability and its Constituent Factors;Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems;2021-05-06

5. Learning analytics of CS0 students programming errors;Proceedings of the 23rd International Conference on Academic Mindtrek;2020-01-29

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3