The development of data science curricula has gained attention in academia and industry.
Yet, less is known about the pedagogical practices and tools employed in data science …

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 …

This study proposes and evaluates the OCEL. AI (Open Collaborative Experiential Learning.
AI) paradigm that aims at broadening participation in data science education and enhancing …

Abstract The Data Mine at Purdue University is a pioneering experiential learning
community for undergraduate and graduate students of any background to learn data …

In this article, we describe a large-scale living learning community (LLC) for undergraduate
students of any major or background. Our students are united by a desire to learn data …

In the next wave of educating future data scientists, we need to think of all undergraduate
students, regardless of background or major, as future data scientists. We should train them …

The National Academies recommend academic institutions foster a basic understanding of
data science in all undergraduates. However, data science education is not currently a …

Organizing a graduate program in statistics and data science raises many questions,
offering a variety of opportunities while presenting a multitude of choices. The call for …

As the professor wraps up the introductory animal science class discussion, she reminds
students to meet in front of their residence hall on Saturday at 10: 00 am When they meet on …

Abstract The term Data Science has been used frequently in the media and in
advertisements in recent years. Yet, few can offer a clear and concise definition of the term …