Students will use Python and a known algorithm to produce a solution using Linear Regression to predict an Artificial Intelligence (AI) solution in either Education, Music, Credit Card Fraud, or Sports.
In this lesson, students will predict and develop understandings of common myths related to electric vehicles through an interactive slide deck. They will create a social media post dispelling one of these myths.
Students investigate engineering responsibilities, types, and soft skills through hands-on activities, card sorting, and concept mapping, then connect their own skills and interests to potential career paths.
At the Shaqfeh Lab, I worked on creating a robot that could easily move through non newtonian fluid. A non newtonian fluid is any type of fluid (gas or liquid) that does not behave like water, i.e. corn syrup, synovial fluid, molasses.
This ETP outlines a three-day lesson, consisting of one 55-minute and two 102-minute block periods, centered around the analysis of audio data.
Students explore Indigenous perspectives on stewardship, land trust, and restoration, examining how First Nation laws and values inform sustainable practices and equitable access to water, energy, and land.
Students will present scientific arguments on various topics related to electric vehicles in the form of debates with the goal of becoming more aware of some of the issues related to the adoption of electric vehicles.
Students will compare gas-powered, hybrid, and electric vehicles using a choice board and anticipation guide, play a round of jeopardy, and learn how new EV technologies can integrate into older gas-powered cars.
Students investigate how ocean acidification impacts oyster populations and marine ecosystems through hands-on experiments, data analysis, and research into NOAA-related careers in marine and ecological sciences.