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Anthony Underwood, Aidan Sichel & Emily C. Marshall. (2023) Teaching Reproducible Methods in Economics at Liberal Arts Colleges: A Survey. Journal of Statistics and Data Science Education 0:0, pages 1-7.
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Maria Tackett. (2023) Three Principles for Modernizing an Undergraduate Regression Analysis Course. Journal of Statistics and Data Science Education 31:2, pages 116-127.
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Johannes Bracher, Nils Koster, Fabian Krüger & Sebastian Lerch. (2023) Learning to Forecast: The Probabilistic Time Series Forecasting Challenge. The American Statistician 0:0, pages 1-13.
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Roy Bower, Justin Hager, Chris Cherniakov, Samay Gupta & William Cipolli$suffix/text()$suffix/text(). (2023) A Case for Nonparametrics. The American Statistician 77:2, pages 212-219.
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Nicholas J. Horton, Rohan Alexander, Micaela Parker, Aneta Piekut & Colin Rundel. (2022) The Growing Importance of Reproducibility and Responsible Workflow in the Data Science and Statistics Curriculum. Journal of Statistics and Data Science Education 30:3, pages 207-208.
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Eric A. Vance. (2021) Using Team-Based Learning to Teach Data Science. Journal of Statistics and Data Science Education 29:3, pages 277-296.
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Nicholas J. Horton & Johanna S. Hardin. (2021) Integrating Computing in the Statistics and Data Science Curriculum: Creative Structures, Novel Skills and Habits, and Ways to Teach Computational Thinking. Journal of Statistics and Data Science Education 29:sup1, pages S1-S3.
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Thomas Donoghue, Bradley Voytek & Shannon E. Ellis. (2021) Teaching Creative and Practical Data Science at Scale. Journal of Statistics and Data Science Education 29:sup1, pages S27-S39.
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Articles from other publishers (13)
Bahar Memarian & Tenzin Doleck. (2023) Data science pedagogical tools and practices: A systematic literature review. Education and Information Technologies.
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Michael Overton & Stephen Kleinschmit. (2022) Transforming research methods education through data science literacy. Teaching Public Administration 41:2, pages 149-169.
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Jennifer Noll & Maria Tackett. (2023)
Insights from
DataFest
point to new opportunities for undergraduate statistics courses: Team collaborations, designing research questions, and data ethics
. Teaching Statistics 45:S1.
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Madeleine Pownall, Flávio Azevedo, Laura M. König, Hannah R. Slack, Thomas Rhys Evans, Zoe Flack, Sandra Grinschgl, Mahmoud M. Elsherif, Katie A. Gilligan-Lee, Catia M. F. de Oliveira, Biljana Gjoneska, Tamara Kalandadze, Katherine Button, Sarah Ashcroft-Jones, Jenny Terry, Nihan Albayrak-Aydemir, Filip Děchtěrenko, Shilaan Alzahawi, Bradley J. Baker, Merle-Marie Pittelkow, Lydia Riedl, Kathleen Schmidt, Charlotte R. Pennington, John J. Shaw, Timo Lüke, Matthew C. Makel, Helena Hartmann, Mirela Zaneva, Daniel Walker, Steven Verheyen, Daniel Cox, Jennifer Mattschey, Tom Gallagher-Mitchell, Peter Branney, Yanna Weisberg, Kamil Izydorczak, Ali H. Al-Hoorie, Ann-Marie Creaven, Suzanne L. K. Stewart, Kai Krautter, Karen Matvienko-Sikar, Samuel J. Westwood, Patrícia Arriaga, Meng Liu, Myriam A. Baum, Tobias Wingen, Robert M. Ross, Aoife O'Mahony, Agata Bochynska, Michelle Jamieson, Myrthe Vel Tromp, Siu Kit Yeung, Martin R. Vasilev, Amélie Gourdon-Kanhukamwe, Leticia Micheli, Markus Konkol, David Moreau, James E. Bartlett, Kait Clark, Gwen Brekelmans, Theofilos Gkinopoulos, Samantha L. Tyler, Jan Philipp Röer, Zlatomira G. Ilchovska, Christopher R. Madan, Olly Robertson, Bethan J. Iley, Samuel Guay, Martina Sladekova & Shanu Sadhwani. (2023) Teaching open and reproducible scholarship: a critical review of the evidence base for current pedagogical methods and their outcomes. Royal Society Open Science 10:5.
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Leon E. Burger. (2022) Teaching Data Science Programming Skills to Diverse Student Cohorts. Teaching Data Science Programming Skills to Diverse Student Cohorts.
Constance L. Gooding, Alex Lyford & Genie N. Giaimo. (2022) Writing goals in U.S. undergraduate data science course outlines: A textual analysis. Teaching Statistics 44:3, pages 110-118.
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Kristine L. Grayson, Angela K. Hilliker & Joanna R. Wares. (2022) R Markdown as a dynamic interface for teaching: Modules from math and biology classrooms. Mathematical Biosciences 349, pages 108844.
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Luiz Barboza. (2022) Thesis plan. Thesis plan.
Dimitrios Doudesis & Areti Manataki. (2022) Data science in undergraduate medicine: Course overview and student perspectives. International Journal of Medical Informatics 159, pages 104668.
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Guyliann Engels, Philippe Grosjean & Frédérique Artus. (2022) Teaching data science to students in biology using R, RStudio and Learnr: Analysis of three years data. Foundations of Data Science 0:0, pages 0-0.
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Chelsey Legacy, Andrew Zieffler, Benjamin S. Baumer, Valerie Barr & Nicholas J. Horton. (2022) Facilitating team-based data science: Lessons learned from the DSC-WAV project. Foundations of Data Science 0:0, pages 0.
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Simon Couch, Andrew Bray, Chester Ismay, Evgeni Chasnovski, Benjamin Baumer & Mine Çetinkaya-Rundel. (2021) infer: An R package for tidyverse-friendly statistical inference. Journal of Open Source Software 6:65, pages 3661.
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Wesley Burr, Fanny Chevalier, Christopher Collins, Alison L Gibbs, Raymond Ng & Chris J Wild. (2021) Computational skills by stealth in introductory data science teaching. Teaching Statistics 43:S1.
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