In this activity, students will explore how artificial intelligence systems classify information using decision trees, a foundational machine learning concept.
Through collaborative group work, students will create their own decision trees to classify a set of object cards using yes/no questions. They will then test another group’s tree, simulating how AI models are trained and evaluated. The activity encourages critical thinking about logic design, precision in language, and real-world AI applications such as spam filtering, medical diagnoses, and product recommendations.
Alien Elements is an activity developed by Learning Undefeated to help students explore the field of data science and how it can be applied to the studies of chemistry.
Students will perform protein purification using column chromatography to gain a greater understanding of the biomanufacturing process of going from a cell to a protein to a product.
