3rd-5th grade

AI Adventurers Level 2: Game Design

The AI Adventurers program is made for students age 8-11, or any elementary school student with an interest in learning the fundamentals of coding – no programming experience required!

Dive into the reef to hunt for hidden treasure, get lost in a mysterious maze, and wrangle baby ducks back into their nest! In the second installment of AI Adventurers, we teach your young learner to design and code their own games. We embed concepts like events, loops, conditionals, variables, and functions within a variety of puzzles, riddles, and activities to make coding fun!

*Students must have taken AI Adventurers: Level 1 to prepare for this program.

Real World

Course Features

 

Learning Outcomes

AI Fundamentals

Search Algorithm Optimization

UX/UI Basics

Social-Emotional Learning

Students

Who Is It For?

The AI Adventurers, Level 2 program is made for students age 8-11, or any elementary school student with an interest in learning the fundamentals of coding – no programming experience required!

*Students must have completed AI Adventurers, Level 1 to enroll in this course. If your student has not, visit our AI Adventurers, Level 1: Storytelling program!

Featured Projects

Learn More About Course Projects

Education

Build out complex conditionals in your quest to find the mysterious gems as you make your way through the password jungle.

Adventure Quest

Education

Explore the mathematics of gambling in dice and card games and apply those ideas to your own points systems.

Risk and Reward

Education

Learn how to use cloud variables in Scratch to invite your friends to your personalized race track.

Multiplayer Racing

Course Syllabus

The 10-session program is divided into the following modules:

Day 1: Learning

Mindfulness Minute: Teacher/Student Introductions Today in AI Talk: How Do Humans Think? How Does a Computer Think? Paper Programming: Your Morning Routine, Broken Down Paper Programming: Program Your Teacher! Mindfulness Minute: Affirmations and the Power of “Yet”

Day 2: Dialogue

Mindfulness Minute: What Would You Do? Today in AI Talk: Virtual Assistants Activity: I Say Hi, You Say Hello! Block-Based Coding: Introduction to Scratch and Dialogue

Day 3: Sensing and Listening

Mindfulness Minute: Your Hero Origin Story! Today in AI Talk: Neural Imagination Paper Programming: Character Drawings Block-Based Coding: Character Dialogue and Thoughts, Adding Sound Mindfulness Minute: Love and Kindness Meditation

Day 4: Take A Chance!

Mindfulness Minute: Grounding - Feeling Connected to the Present Today in AI Talk: AI Simon Says Paper Programming: Storyboarding Block-Based Coding: Animation & Motion

Day 5: Loops

Mindfulness Minute: Where You Are Today in AI Talk: Immersive Artscapes Paper Programming: Decision Trees Block-Based Coding: Setting & Background, with Conditionals

Day 6: Random Events

Mindfulness Minute: Spreading Kindness Today in AI Talk: Paper Dreams Paper Programming: Storyboarding Block-Based Coding: Conditionals and Narration, with a Twist!

Day 7: Game Physics

Mindfulness Minute: Breathing Loops Today in AI Talk: Music Generation with AI Paper Programming: Collaborative Decision Trees Block-Based Coding: User Input

Day 8: User Experience Design

Mindfulness Minute: Little Steps, Big Goals Today in AI Talk: Magic Sketchpad Activity: What Will You Choose? Team Hackathon: Choose Your Own Adventure: Questions and Answers Mindfulness Minute: Reflection

Day 9

Mindfulness Minute: Kid Friendly Meditation Today in AI Talk: Self-Driving Cars Team Hackathon: Choose Your Own Adventure: Making Decisions and Debugging Mindfulness Minute: Reflection

Day 10

Mindfulness Minute: Active Listening Today in AI Talk: Quick, Draw! Team Hackathon: Choose Your Own Adventure: Project Share-Out Mindfulness Minute: Reflection

Team

Instructors

Education

MIT, Master’s in Computer Science (HCI)
MIT, Bachelor’s in Computer Engineering

Teaching

Erica focuses on Human-Computer Interaction, computer vision, and image processing. She’s previously explored how we can use machine learning to enable creativity.

Erica Yuen

Instructor MS, MIT

Education

Stanford, Bachelor’s in Computational Physics and Data Science

Research

Designed sustainable lab materials and curriculum as an educational fellow in partnership with the Ghanian Educational Service; astrophysics research assistant at SLAC, Caltech, and NASA’s Jet Propulsion Laboratory developing precise image resolution for ground-based telescopes

Emmy Li

Instructor

Education

MIT, Master’s in Computer Science
MIT, Bachelor’s in Computer Science and Electrical Engineering,
Minor in Mechanical Engineering

Research

Kayla’s expertise lies in Robotics—she previously worked on autonomous driving at Cruise and robotics software at Vecna Robotics. She also researched methods for factory line operators to effectively work alongside robots.

Teaching

Kayla’s expertise lies in Robotics—she previously worked on autonomous driving at Cruise and robotics software at Vecna Robotics. She also researched methods for factory line operators to effectively work alongside robots.

Kayla Holman

Curriculum Developer, Instructor

Education

MIT, Master’s in Computer Science (AI)
MIT, Bachelor's in Computer Science and Math
MIT, Teaching License

Research

Studying economic disparities in online education, diagnosing dementia with machine learning, creating AI-generated images, and improving recommendation engines.

Teaching

Daniela created and taught an Artificial Intelligence and Society course at an international school in Rome. She’s taught math + computer science to students from kindergarten through college around the world. 

DANIELA GANELIN

Director of Curriculum MS, MIT

Education

Harvard, Bachelor’s in Statistics and Computer Science

Teaching

Nabib is passionate about data science and interested in developing new ML algorithms for analysis and prediction. In particular, he’s interested in the application of computer vision, time-series forecasting, and simulation. He immensely enjoys mentoring and educating young students.

Nabib Ahmed

Instructor MS, MIT

Education

I am a rising senior at Yale studying Physics and CS.

Research

I am currently working at a lab researching Quantum Neural Networks, searching for biological applications. I currently live between New Haven, New York, and Ireland travel permitting. I have recently gotten into guitar and have been trying to learn John Mayer's new song Last Train Home.

Aidan Donaghey

Instructor

Education

I'm a master's student at Brown University studying Data Science. I'm from Geneva, Switzerland.

Research

I am interested in how data science and AI can be used to tackle global problems like poverty and climate change. I'm also interested in ethical challenges of AI and how they can be mitigated. I love listening to music, trying new foods, and hanging out with friends. Excited to meet you!

Drew Solomon

Instructor

Education

I studied math and CS at Stanford and just graduated this past winter!

Research

I love thinking about mathematical and algorithmic puzzles. My studies and research are centered around the theoretical side of Computer Science. In particular, I like complexity theory which is the study of how hard certain problems are, and algorithmic game theory which is the study of how to play all sorts of games optimally. I also really enjoy learning about AI systems, and especially their applications to solving real world problems (and also playing useless games). In my spare time I like to run, cook, read and listen to / play / compose music.

Harry Sha

Instructor

Education

I graduated from Brown University with a Bachelor’s of Science in Computer Science in May 2021.

Research

I'm excited about the wide applications of AI to all sorts of fields, from finance to healthcare/biology. In particular, my senior project back in college was training a deep learning model to predict antibiotic resistance based on bacterial genetic information! Outside of school and work, I also like to bake, sew, play video games, and go for runs! I'm currently training for my first 10k sometime in the late summer or early fall.

Giselle Garcia

Instructor

Education

I just graduated from MIT with degrees in Mathematics and Music.

Research

I'm interested in the intersection between music and technology, and have been using computational and AI/ML methods for analyzing medieval music. Outside of academics, I am an avid jazz composer and musician, and enjoy listening to all sorts of music! I also enjoy reading, running, chess, and Rubik's Cube solving.

Kevin Costello

Instructor

Education

I'm a rising junior at Columbia studying Electrical Engineering.

Research

I'm passionate about applying machine learning to solve biomedical problems and exposing students to computer science concepts. This summer I'm doing research in a biophotonics lab working on deep learning models to identify images with suspicious features for breast cancer application. Outside of the lab, I like to try Margherita pizzas and explore New York City!

Margherita Firenze

Instructor

Education

I'm a graduate student at UCLA doing a PhD in Bioinformatics. Before that, I did my undergrad at UC Berkeley where I studied Computer Science and Cognitive Science.

Research

My current project is on making a new method which uses machine learning to take really large genetic data and reduce it to a smaller dimension to be analyzed. Existing methods introduce a lot of distortion during this process, so I am working to minimize that. In my free time, I like to bake, hike, and play board games with friends. I'm also learning to make boba at home!

Serena Hughes

Instructor

Education

I'm a PhD Student at Stanford studying Bioengineering.

Research

I work on 3D printing technologies, especially on how to develop strategies to enhance the function and scale of bioprinted cardiac and vascular tissues to accelerate on-demand organ printing. I use AI to solve and control robotics (planning paths, point distribution, and kinematics) that are developed for new manufacturing methods of 3D printing. I have lived in 3 different countries (India, US, Belgium) on all different continents, and attended 11 schools. I also weightlift, swim, and play guitar, and write short blog posts (You can find me at https://1sohamsinha.wixsite.com/sohamsinha).

Soham Sinha

Instructor

Testimonials

What Our Students Say

Ally Bush

Seattle, Washington

“The Inspirit AI camp was incredible! I not only learned about coding, but also formed connections with three project teammates from around the world. Attending this camp helped me realize my passion for STEM and AI, and my teachers happily supplied resources for me to pursue it further!”

Amanya Sahney

Mumbai. India

“In this program, I was intrigued by all the applications AI has to offer. I searched up more on these particular topics and am considering pursuing computer science further.”

Jeremy Lu

Saratoga, CA

“I was lucky enough to participate in one of Insipirit’s AI camps and learn concepts such as reinforcement learning, neural networks, and more in workshops and everyday lessons. I later applied these concepts in my own project.”

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