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book.bib
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@book{ambrose2010learning,
title={How learning works: Seven research-based principles for smart teaching},
author={Ambrose, Susan A and Bridges, Michael W and DiPietro, Michele and Lovett, Marsha C and Norman, Marie K},
year={2010},
publisher={John Wiley \& Sons}
}
@article{tractenberg2016mastery,
title={How the Mastery Rubric for Statistical Literacy can generate actionable evidence about statistical and quantitative learning outcomes},
author={Tractenberg, Rochelle},
journal={Education Sciences},
volume={7},
number={1},
pages={3},
year={2016},
publisher={Multidisciplinary Digital Publishing Institute}
}
@misc{jordan2018assessment,
author = {Jordan, Kari and
Michonneau, François and
Weaver, Belinda},
title = {{Analysis of Software and Data Carpentry's Pre- and
Post-Workshop Surveys}},
month = jul,
year = 2018,
doi = {10.5281/zenodo.1325464},
url = {https://doi.org/10.5281/zenodo.1325464}
}
@article{wilson2017goodenough,
author = {Wilson, Greg and Bryan, Jennifer and Cranston, Karen and Kitzes, Justin and Nederbragt, Lex and Teal, Tracy K.},
journal = {PLOS Computational Biology},
publisher = {Public Library of Science},
title = {Good enough practices in scientific computing},
year = {2017},
month = {06},
volume = {13},
url = {https://doi.org/10.1371/journal.pcbi.1005510},
pages = {1-20},
abstract = {Author summary Computers are now essential in all branches of science, but most researchers are never taught the equivalent of basic lab skills for research computing. As a result, data can get lost, analyses can take much longer than necessary, and researchers are limited in how effectively they can work with software and data. Computing workflows need to follow the same practices as lab projects and notebooks, with organized data, documented steps, and the project structured for reproducibility, but researchers new to computing often don't know where to start. This paper presents a set of good computing practices that every researcher can adopt, regardless of their current level of computational skill. These practices, which encompass data management, programming, collaborating with colleagues, organizing projects, tracking work, and writing manuscripts, are drawn from a wide variety of published sources from our daily lives and from our work with volunteer organizations that have delivered workshops to over 11,000 people since 2010.},
number = {6},
doi = {10.1371/journal.pcbi.1005510}
}