Our resources are designed to engage students in hands-on, fun
activities that build literacy in AI, data science, and scientific
research. Through a diverse array of activities, students gain
familiarity with key concepts, setting them up for deeper
exploration. Each activity empowers students to question,
experiment, and discover, fostering a strong base for more
advanced learning in science & AI. We’ve categorized this section
into four sections and suggest you start with “laying the
foundation.”
We link ML techniques to science and societal implications across
our curriculum. These activities allow students the opportunity to
think about the impact of AI on their lives and communities while
engaging with issues of fairness, justice, and equity.
ML is just one computational approach among many. And when to use
ML methods (and which one to use) depends on technical
considerations as well as ethical. These activities help students
navigate this decision making process
