ChatGPT is one of many generative artificial intelligence (AI) tools that has emerged recently, creating controversy in the education community with concerns about its potential to be used for plagiarism and to undermine students' ability to think independently. Recent publications have criticized the use of ChatGPT and other generative AI tools in the classroom, with…
Journal of Statistics and Data Science Education Template
Write in a clean editor, then format for Journal of Statistics and Data Science Education in one click — DocuGuru applies the official Taylor & Francis template with author–year references and exports a submission-ready PDF plus the editable LaTeX source. Free to start.
About the Journal of Statistics and Data Science Education format
Journal of Statistics and Data Science Education is a peer-reviewed journal published by Taylor & Francis, covering Statistics Education and Methodologies, Data Analysis with R, Innovations in Educational Methods.
| Publisher | Taylor & Francis |
|---|---|
| Reference style | Author–year (Chicago, T&F) Author–year — (Smith, 2023) in the text Smith, Ada, Ben Jones, and Cara Lee. 2023. "A Representative Article Title." Journal of Statistics and Data Science Education 12 (3): 45–58.
Formats any DOI in Journal of Statistics and Data Science Education style. No sign-up. |
| Publishes research in | Statistics Education and Methodologies Data Analysis with R Innovations in Educational Methods Genetics, Bioinformatics, and Biomedical Research Scientific Computing and Data Management |
| ISSN | 2693-9169 |
| Citation impact (2-yr) | 1.59 |
| h-index | 22 |
| i10-index | 61 |
| Total citations | 1,931 |
| Open access | Yes |
| Top institutions publishing here | Wake Forest University |
| Journal website | www.tandfonline.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Papers published in Journal of Statistics and Data Science Education per year
Citation impact of Journal of Statistics and Data Science Education by publication year
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Most-cited papers in Journal of Statistics and Data Science Education
–Nolan and Temple Lang’s Computing in the Statistics Curricula (2010) advocated for a shift in statistical education to broadly include computing. In the time since, individuals with training in both computing and statistics have become increasingly employable in the burgeoning data science field. In response, universities have developed new courses and programs to meet the…
Best practices in statistics and data science courses include the use of real and relevant data as well as teaching the entire data science cycle starting with importing data. A rich source of real and current data is the web, where data are often presented and stored in a structure that needs some wrangling and…
In the past 10 years, new data science courses and programs have proliferated at the collegiate level. As faculty and administrators enter the race to provide data science training and attract new students, the road map for teaching data science remains elusive. In 2019, 69 college and university faculty teaching data science courses and developing…
The proliferation of vast quantities of available datasets that are large and complex in nature has challenged universities to keep up with the demand for graduates trained in both the statistical and the computational set of skills required to effectively plan, acquire, manage, analyze, and communicate the findings of such data. To keep up with…