Now it's your turn to drive. In this video we'll present you with a casting challenge to complete using everything we've learned so far.
Review of how to write a function (starting with translation)
Why do we divide the number of combinations by the number of permutations?
Try out your deformers on a face.
Finally we'll need to rotate object to finish our scene.
Now we just need to determine whether our intersection point is inside or outside the triangle.
Let's put everything together. Get ready for a really powerful formula: the binomial coefficient (warning: you may need to watch this a few times!).
Time to get a little mathy. Let's look at the general form for any transformation.
Review how to connect our deformers and shapes together
Welcome to The AI Challenge, a self-paced Design Forward module created to build faculty capacity with generative artificial intelligence (GENAI). In each topic page you will find related resources, questions, and activities.
Since this is a self-paced module, you should proceed in whatever way makes you comfortable. Feel free to take as little or as much time as necessary and focus on whatever components resonate most deeply with you and your own pedagogical value and needs.
We look forward to seeing you around the module!
Description: Students play with an AI that can react to their movement, and choreograph something that uses this tool. They can show off their choreography to the rest of the class
Skills/knowledge you'll gain: Movement, collaboration
Length: 1-4 hours
Curriculum aligns to:
- NGSS Engineering standards
- ISTE standards
- Common Core ELA/Literacy standards
- Also maps to CSTA standards
Description: AI can create realistic-looking images and videos that were never actually filmed or taken as a photo. These images and videos are called deepfakes. This is a quick lesson requiring no background where students learn about deepfakes, as well as ways to verify information that they see
Skills/knowledge you'll gain: Critical thinking
Length: 1 hour
Curriculum aligns to:
- NGSS Engineering standards
- ISTE standards
- Common Core ELA/Literacy standards
- Also maps to CSTA standards
Description: A quick and fun way to become familiar with some core ideas of modern AI while playing with Google Quick, Draw
Skills/knowledge you'll gain: Understanding of what AI is, privacy and bias concerns
Length: 1 hour
Curriculum aligns to:
- NGSS Engineering standards
- ISTE standards
- Common Core ELA/Literacy standards
- Also maps to CSTA standards
Description: An interactive deep dive into the sort of ethical concerns that companies creating AI based systems should consider. Students explore these ideas through role-playing running their own companies and making ethical decisions for those companies
Skills/knowledge you'll gain: Human-centered design, ethics
Length: 10 hours
Curriculum aligns to:
- NGSS Engineering standards
- ISTE standards
- Common Core ELA/Literacy standards
- Also maps to CSTA standards
Description: A short deep dive into how facial recognition technology is used, some biases it has, and some ways companies, individuals, and the law are fighting against its use in surveillance
Skills/knowledge you'll gain: Ethics
Length: 1 hour
Curriculum aligns to:
- NGSS Engineering standards
- ISTE standards
- Common Core ELA/Literacy standards
- Also maps to CSTA standards
Description: Learn how conservationists use AI image recognition to save time identifying how and where to protect endangered species. Build your own species-identifying AI system
Skills/knowledge you'll gain: Conservation
Length: 1-2 hours
Curriculum aligns to:
- NGSS Engineering standards
- ISTE standards
- Common Core ELA/Literacy standards
- Also maps to CSTA standards
Introduction to Act 1.
Overview of Act 2.
Introduction to Act 3.
An overview of Adding an event listener