2.4 Generate a Story Lesson
In this lesson, students will create stories of their own with GAN text and art tools. Students will learn to use GAN-based generation tools to generate texts and form them into stories.
Developing AI Literacy (DAILy) 2.0
2.3 AI Generated Art Lesson
In this lesson, students will explore various forms of AI-generated art. They will engage in a conversation about what is art and who can make art.
2.2 How do GANs Work? Lesson
This lesson introduces students to how GANs work as a result of the interplay between generator and discriminator neural networks. Students will learn how the generator and discriminator compete with one another to generate text, images, videos, and more.
2.1 What are GANs? Lesson
In this lesson, students will learn that GANs can generate art such as photographs, paintings, handwritten poetry, music, and jokes (that are kind of funny! Maybe.)
1.5 Planting the Seed of STEM Jobs Lesson
In this activity, students will learn about what STEM jobs are, why they should consider STEM jobs, and why it is important for everyone to participate in STEM jobs.
1.4 Inventory of Me Lesson
In this activity, students will learn about Holland’s work personality types and examples of jobs favored by people with each type. This lesson requires the students to use the Internet to answer a survey and explore a website.
1.3 Classifying AI vs. Generating AI Lesson
In this lesson, students experience the process of generation and classification as they mix colors on an online platform and observe that they can create a varied palette of colors with a few input colors. Students will learn about examples of AI systems that perform classification and generation and practice distinguishing between generating and classifying AIs.
1.2 Neural Networks Lesson
This lesson introduces students to a specific type of supervised learning called neural networks. Students will learn how neural networks work from a game in which they role-play different components of a neural network.
1.1 Introduction to Supervised Machine Learning Lesson
This lesson introduces students to how supervised machine learning can be trained to classify complex datasets based on labeled data. Students will train their teachable machine models and learn that AI can learn from labeled data. They will also revisit the idea that training AI systems with an increasing amount of data does not necessarily mitigate bias if there’s not enough diversity in the data.
0.6 Career Daydream Lesson
In this lesson, students will daydream about what a typical work day is going to be like in 30 years. The instructor will read a pre-written script to help students meditate and guide them to share their answers.