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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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Alexandr Akimov, Mirela Malin, Yermone Sargsyan, Gayrat Suyunov & Salim Turdaliev. (2023) Student Success in a University First-Year Statistics Course: Do Students’ Characteristics Affect Their Academic Performance?. Journal of Statistics and Data Science Education 0:0, pages 1-12.
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Brandon J. George & Juan Leon. (2023) Making the Switch: Experiences and Results from Converting a Biostatistics Course to Flipped and Online Formats for Public Health Students. Journal of Statistics and Data Science Education 31:1, pages 91-101.
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Benjamin Mayer, Anja Kuemmel, Marianne Meule & Rainer Muche. (2023) Introduction to Medical Statistics Software Using the Flipped Classroom: A Pilot Study. Journal of Statistics and Data Science Education 31:1, pages 74-79.
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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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Articles from other publishers (3)
Kim Cuddington, Karen C Abbott, Frederick R Adler, Mehmet Aydeniz, Rene Dale, Louis J Gross, Alan Hastings, Elizabeth A Hobson, Vadim A Karatayev, Alexander Killion, Aasakiran Madamanchi, Michelle L Marraffini, Audrey L McCombs, Widodo Samyono, Shin-Han Shiu, Karen H Watanabe & Easton R White. (2023) Challenges and opportunities to build quantitative self-confidence in biologists. BioScience.
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Manu Kapur, John Hattie, Irina Grossman & Tanmay Sinha. (2022) Fail, flip, fix, and feed – Rethinking flipped learning: A review of meta-analyses and a subsequent meta-analysis. Frontiers in Education 7.
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Peter Kovacs, Eva Kuruczleki, Klara Kazar, Lilla Liptak & Tamas Racz. (2021) Modern teaching methods in action in statistical classes. Statistical Journal of the IAOS 37:3, pages 899-919.
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