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April 2024 issue of the Journal of Statistics and Data Science Education now online

  • 1.  April 2024 issue of the Journal of Statistics and Data Science Education now online

    Posted 21 days ago

    The April, 2024 issue of the _Journal of Statistics and Data Science Education_ is now available at https://www.tandfonline.com/toc/ujse21/32/2?nav=tocList

    JSDSE is a 32 year-old open-access journal with no author publication fees that is published jointly by the American Statistical Association and Taylor & Francis.

    Articles in this issue include:

    - The COVID-19 Pandemic and Data Science and Statistics Education: https://doi.org/10.1080/26939169.2024.2319002

    - Challenges and Successes of Emergency Online Teaching in Statistics Courses: https://doi.org/10.1080/26939169.2023.2231036

    - Teaching Statistics: A Technology-Enhanced Supportive Instruction (TSI) Model During the Covid-19 Pandemic and Beyond: https://doi.org/10.1080/26939169.2024.2315939

    - Teaching Students to Read COVID-19 Journal Articles in Statistics Courses: https://doi.org/10.1080/26939169.2024.2302185

    - Causal Inference Is Not Just a Statistics Problem: https://doi.org/10.1080/26939169.2023.2276446

    - What Should We Do Differently in STAT 101? https://doi.org/10.1080/26939169.2023.2205905

    - Coding Code: Qualitative Methods for Investigating Data Science Skills: https://doi.org/10.1080/26939169.2023.2277847

    - Personalized Education through Individualized Pathways and Resources to Adaptive Control Theory-Inspired Scientific Education (iPRACTISE): Proof-of-Concept Studies for Designing and Evaluating Personalized Education: https://doi.org/10.1080/26939169.2024.2302181

    - A Review of the Use of Investigative Projects in Statistics and Data Science Courses: https://doi.org/10.1080/26939169.2023.2240385

    - Active-Learning Class Activities and Shiny Applications for Teaching Support Vector Classifiers: https://doi.org/10.1080/26939169.2023.2231065

    - Obtaining and Applying Public Data for Training Students in Technical Statistical Writing: Case Studies with Data from U.S. Geological Survey and General Ecological Literature: https://doi.org/10.1080/26939169.2023.2195459

    We welcome new reviewers and authors: for more information please see the main page for the journal.



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    Nicholas Horton
    Beitzel Professor of Technology and Society (Statistics and Data Science)
    Amherst College
    Northampton, MA United States
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