This project translates complex research in statistical mechanics and AI from the Rotskoff Group at Stanford into accessible, hands-on learning experiences for high school students.
Major advancements in computer programming are pushing machine learning practices to the forefront of big tech industry standards.
An invaluable exercise for beginner programming students is to teach them new ways to think. This lesson was written with the intention of introducing students to machine learning using image classification. Complexity has long been a barrier to exposing students to artificial intelligence.
While I’ve taught classes on VEX robotics, the curriculum so far has focused on making a robot that can drive and lift. Although these tasks are foundational, I hope to give my students authentic robotics experiences that connect to the problems roboticists are solving.
Python is commonly used for processing and visualizing large amounts of data.
Team Final Project: Code for Good. As CS students develop their programming skills, they also need to develop the awareness that programming can have a vital role in mitigating social concerns and improving life.
Students always want to see the results of their work immediately, and they move on to the next challenge as soon as they solve the problem once.
While programmers can keep track of their own code in their head, it can be difficult for beginning programmers to understand the importance of writing readable code.
The CyberLearning team at SRI researches innovation in cyber learning education (http://circlcenter.org) and how to assess the learning gains students make in their computational thinking.