Скачать или смотреть Why Data sciences and AI for Kids (Explained) | NIIT Srinagar center

Data-driven decision making is fast becoming a necessary
skill in jobs across the board. The industry today uses analytics and machine learning to get useful insights from a
wealth of digital information in order to make decisions.
With data science becoming an important skill needed in
varying degrees of complexity by the workforce of the near
future, we felt the need to expose school-goers to its power
through a hands-on exercise. We organized a half-day long
data science tutorial for kids in grades 5 through 9 (10-15
years old). Our aim was to expose them to the full cycle of a
typical supervised learning approach - data collection, data
entry, data visualization, feature engineering, model building, model testing and data permissions. We discuss herein
the design choices made while developing the dataset, the
method and the pedagogy for the tutorial. These choices
aimed to maximize student engagement while ensuring minimal pre-requisite knowledge. This was a challenging task
given that we limited the pre-requisites for the kids to the
knowledge of counting, addition, percentages, comparisons
and a basic exposure to operating computers. By designing an exercise with the stated principles, we were able to
provide to kids an exciting, hands-on introduction to data
science, as confirmed by their experiences. To the best of
the authors’ knowledge, the tutorial was the first of its kind.
Considering the positive reception of such a tutorial, we hope
that educators across the world are encouraged to introduce
data science in their respective curricula for high-schoolers
and are able to use the principles laid out in this work to
build full-fledged courses.