Amos Jeng and V. N. Vimal Rao explore what happens when students use Rtutor.AI, a generative AI tool designed to help translate statistical questions into R code.
Journal of Statistics and Data Science Education
‘JSDSE’ Explores Classic Concepts, Innovations in Statistics and Data Science Education
This issue covers a range of topics, from classic problems to newer areas such as machine olfaction, plus several papers about teaching collaboration and an interview with two former journal editors.
JSDSE Highlights | Generative AI’s Role, Gaps in Ecosystem for Data Science Education in Newest Issue
The first issue of Volume 34 of the “Journal of Statistics and Data Science Education” features content relating to the role of generative AI in facilitating statistical thinking for students.
‘Journal of Statistics and Data Science Education’ Highlights: Podcast, Celebrating GAISE Fill October Issue
The issue features a podcast transcript with Jim Albert, a tribute to George Cobb and the 20th anniversary of GAISE, and articles on curriculum reform, research surveys, teaching tools, and qualitative methodology.
Interviews with Statistics, Data Science Educators Return as JSDSE Collections Expand
The July issue of JSDSE features an interview with Jim Albert about Bayesian teaching methods, research on AI’s limitations in statistical writing instruction, and innovative classroom data sets that include Loch Ness Monster sightings and steel mill operations data.
April Issue of JSDSE Invites Submissions Sharing Teaching Experiences
The April issue of the Journal of Statistics and Data Science Education features a call for papers on AI in teaching, alongside studies on data-driven pedagogy, Bayesian analysis, health science education, and experiential learning.
January Issue of “JSDSE” Provides Statistics, Data Science Buffet
The Journal of Statistics and Data Science Education (JSDSE) emphasizes that “teaching for the statistics (and data science) buffet” helps advance the growth and diversity of the statistics and data science professions.
Teaching During COVID Leads April JSDSE
The onset of COVID-19 had a direct and continuing impact on the educational sector, with institutions, instructors, students, and parents scrambling to adapt to a variety of online or hybrid educational models. The April issue of the open-access Journal of Statistics and Data Science Education leads with three papers that describe approaches to teaching during the pandemic.
Journal of Statistics and Data Science Education: January Issue Takes on Difficult History of Statistics
The January issue of JSDSE leads with a paper that recounts the difficult past of statistics, notably the role of eugenics in the development of the field. The author argues we must confront our history to move forward and provides guidance for addressing the troubling history in the classroom.
My ASA Story: Matt Hayat, Professor of Biostatistics
Matt Hayat says, “My career path as a collaborating biostatistician and statistics educator has brought me much meaning and joy, and the ASA has been a central thread throughout.”