This project investigates new instructional approaches for introducing robotics and coding through creative, multimodal, and accessible methods.
Rooted in low-energy, tactile interactions and speculative educational frameworks, the course introduces learners to the mBot robot through narrative, analog tools, and digital extensions with mixed reality.
This platform presents an open source, research-led curriculum prototype that balances play, language development, and technical instruction—highlighting new modes of learning that emerge when robots are not merely tools, but collaborators.
participants are invited to continue exploring the mBot through creative, reflective activities that center collaboration. Engage in simple environments with the robot through activities that explore the connection with humans in low-energy spaces created for open source learning. Simple, open-ended interactions that encourage curiosity, expression, and new relationships with machines. By shifting from instruction to co-creation, learners begin to see robotics not just as technical learning, but as a space for connection, interpretation, and imaginative play.
Humans and robots take turns making inputs on a canvas for a period of time to visualize and reflect on collaborations with machines with creative learning
Using various combinations of cards to build a narrative that the robot shows through actions, world-building and storytelling
paper based activities to learn the basic mechanical movements involved in physical robotics
This project views robots not as passive tools, but as co-learners—beings that reflect, respond, and grow alongside us. Learning becomes a shared experience, not a one-way command.
Emotional engagement is treated as foundational to learning. By designing interactions that involve curiosity, empathy, and play, the project reframes code and mechanics as expressive, relational acts.
Instruction is not static but shaped through interaction over time. The course emphasizes adaptability, storytelling, and interpretation—where understanding emerges through doing, observing, and responding.
This project blends physical tools, visual cards, simple code, and mixed reality to create layered learning experiences. By offering multiple modes of interaction—tactile, visual, and digital—it welcomes learners with different strengths, backgrounds, and ways of understanding.
“The robot had no feelings, only positronic surges that mimicked those feelings. (And perhaps human beings had no feelings, only neuronic surges that were interpreted as feelings.)”
Isaac Asimov, The Robots of Dawn