Explore and create: Exploratory Creation lab 
Preregistration Required
- Understand the basic definitions of AI, predictive AI, and generative AI
- Gain hands-on experience using predictive AI via Face Sensing with Scratch Lab and explore generative AI integration with Scratch
- Reflect on ways AI can be integrated into activities in support of creative learning
- Remix and/or adapt prompts that surface the possibilities and pitfalls of AI for classroom discourse or debate.
- Deepen guidance of shared values, collaboration, communication, and digital citizenship based on the Scratch Community Guidelines. Scratch Community Guidelines will be shared as an actionable model.
Explore the Face Sensing Blocks
- The majority of the session will focus on hands-on experimentation with Scratch Lab’s Face Sensing blocks with participants using their own devices.
- Gain hands-on experience using predictive AI via Face Sensing with Scratch Lab and explore generative AI integration with Scratch
- Facilitators will begin with an introductory demo and invite participants to explore the edges of the technology by creating a project with the following prompts: What does the system perceive as a face?
- Will share resources for educators including a lesson plan and coding cards that can be used with learners
Can You Fool the AI?
- Can you fool it? What limitations can you find? Does it see a simple drawing of a face as a face? What about animal faces?
AI Ethics
- Scratch AI Values
- Classroom Prompts
Exploring Generative AI
- Exploration of possibilities for integration of AI with Scratch
Scratch Creative Learning Philosophy
- Discussion of the benefits and challenges of AI and creative learning
- Share Creative Learning Framework - Creative Learning Spiral & 4Ps of Creative Learning (Projects, Passion, Peers, and Play)
Wrap Up
The closing segment will focus on participants reflecting on their workshop experience both as learners and as educators.
- Facilitators will prompt peer-to-peer turn and talk discussion with the following questions: What are your key takeaways from exploring the integration of AI and block based programming? How might you adapt these activities for your learners? Are there any risks or roadblocks to using AI with students?
- Facilitators will share discussion prompts for classroom discourse, persuasive writing, or debate based on questions of the pitfalls and possibilities of AI, including but not limited to: What are the ethical implications of what facial recognition software sees and can’t see? What if you don’t want to be seen? Can AI technology help make humans more intelligent? More creative?
The core research, documentation, and websites we have used to design this workshop are remixed or adapted from the following sources:
"AI and Creative Learning: Concerns, Opportunities, and Choices," blog post by Mitch Resnick
https://mres.medium.com/ai-and-creative-learning-concerns-opportunities-and-choices-63b27f16d4d0
"Exploring a Creative, Safe Introduction to Machine Learning," blog post by Eric Rosenbaum
https://medium.com/scratchteam-blog/exploring-a-creative-safe-introduction-to-machine-learning-c42f1d0133e7
"Inside Scratch Lab: AI Image Generation," blog post by Eric Rosenbaum
https://medium.com/scratchteam-blog/inside-scratch-lab-ai-image-generation-179f11bd921a
The RAISE Playground
https://playground.raise.mit.edu/
The RAISE Playground is a block-based programming platform that we developed to support hands-on learning about AI and robotics for students and beginning programmers.
MIT AI Ethics Education Curriculum https://docs.google.com/document/d/1e9wx9oBg7CR0s5O7YnYHVmX7H7pnITfoDxNdrSGkp60/view
A set of activities, teacher guides, assessments, materials, and more to assist educators in teaching about the ethics of artificial intelligence.
Teachable Machine
https://teachablemachine.withgoogle.com/
Teachable Machine is a web-based tool that makes creating machine learning models fast, easy, and accessible to everyone.
Face Sensing with Scratch Lab
https://resources.digitalmoment.org/sensing-faces-with-scratch-lab/
A hands-on activity from Digital Moment, with a focus on sparking “curiosity about how computers recognize patterns in the era of AI and how we can work with intelligent machines to amplify our own creations.”
AI and Scratch coding with FabLab Onaki
https://www.youtube.com/watch?v=N35-1Otn-Hc
FabLab Onaki is the first indigenous Fablab in Canada, established by The First Peoples Innovation Centre (FPIC), they offer training for Indigenous youth and young adults in digital technologies. This video chronicles in-person and virtual workshops in which participants explored Artificial Intelligence with a coding focus.
Introduction to Machine Learning and AI
https://teachcomputing.org/courses/CO231/introduction-to-machine-learning-and-ai?utm_campaign=Resend%20of%20NCCE%20Secondary%20CPD%20Listing%20-%20September%2023&utm_content=AI_Course&utm_term=&utm_medium=email&utm_source=Adestra
A course developed by the National Center for Computing Education developed for CS teachers to “discover the fundamentals of machine learning, how it works, and learn to train your own AI using free online tools.”
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