PastaLand - Hands-On
Modification to PastaLand digital lesson activity to physically complete (with pictures of students using materials)
Modification to PastaLand digital lesson activity to physically complete (with pictures of students using materials)
Students can categorize different snacks based on the images. It is middle school-related snacks.
Science Teachers feel free to incorporate this AI Science Investigation. Students will investigate bias in science (scientists, science safety, science tools, and experiments).
This is an extension activity to further highlight how bias exists in diffusion models and how prompt modification can highlight bias. Students are given two different models and are able to select adjectives and professions for image generation. This also includes a discussion about research linked with the tool that highlights gendered language in job advertising and how that might impact results.
This activity is culturally relevant for students living in Chicago. This activity can be modified to any large city with a diverse population and lots of neighborhoods.
We know that it takes a tremendous amount of resources to train AI systems. But can the benefits outweigh the costs? In this extension activity, students will explore the following resources to learn about how AI is being used to work toward environmental sustainability.
This is a framework and exemplar to use if you want to have students write a short storyboard of a potential AI tool. This is useful for integrating ELA into this lesson, including story elements.
This is a lesson asking students to think about what might be the “best” solution to mitigate the environmental impact of AI considering different audiences.
This storyboard model provides a basic structure for integration of ELA and AI concepts. This activity is intended for students who have already been exposed to Poetry and the lesson called What is AI?
An online version of the Neural Network Activity, where students simulate the working of a neural network by choosing 4 words to describe an image, which are fed forward through the network, and the results evaluated. The input weights are adjusted (back propagation) and the process is repeated with a second image.