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Allison Davidson. (2023) A Review of the Use of Investigative Projects in Statistics and Data Science Courses. Journal of Statistics and Data Science Education 0:0, pages 1-28.
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Serveh Sharifi Far, Vanda Inácio, Daniel Paulin, Miguel de Carvalho, Nicole H. Augustin, Mike Allerhand & Gail Robertson. (2023) Consultancy Style Dissertations in Statistics and Data Science: Why and How. The American Statistician 77:3, pages 331-339.
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Wen Huang, Jeremi S. London & Logan A. Perry. (2023) Project-Based Learning Promotes Students’ Perceived Relevance in an Engineering Statistics Course: A Comparison of Learning in Synchronous and Online Learning Environments. Journal of Statistics and Data Science Education 31:2, pages 179-187.
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Sierra Paloian, Kirsten Doehler & Alexandra Lahetta. (2022) Implementing a Senior Statistics Practicum: Lessons and Feedback from Multiple Offerings. Journal of Statistics and Data Science Education 30:2, pages 114-126.
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Eric A. Vance, Jessica L. Alzen & Heather S. Smith. (2022) Creating Shared Understanding in Statistics and Data Science Collaborations. Journal of Statistics and Data Science Education 30:1, pages 54-64.
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Rafiq Hijazi & Ibrahim Alfaki. (2020) Reforming Undergraduate Statistics Education in the Arab World in the Era of Information. Journal of Statistics Education 28:1, pages 75-88.
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Jennifer E. Broatch, Suzanne Dietrich & Don Goelman. (2019) Introducing Data Science Techniques by Connecting Database Concepts and dplyr. Journal of Statistics Education 27:3, pages 147-153.
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E. Ashley Steel, Martin Liermann & Peter Guttorp. (2019) Beyond Calculations: A Course in Statistical Thinking. The American Statistician 73:sup1, pages 392-401.
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