This repository contains materials associated with the paper Unplugged AI Activities for Embodied Interactions in Higher Education, published at EAAI-26: The 16th Symposium on Educational Advances in Artificial Intelligence. The paper introduces a set of unplugged learning activities designed to help undergraduate students intuitively understand core AI concepts before transitioning to formal mathematics and programming.
├── topics/
│ ├── search/
│ ├── mdps/
│ ├── reinforcement_learning/
│ ├── hmms/
├── LICENSE
└── README.md
- Activity guides for each unplugged exercise
- Printable cards, maps, grids, and role sheets
- Slides demonstrating a proposed lesson sequence
- Jupyter notebooks mirroring each in-class activity with Python implementations
- Discussion prompts and example reflection questions
For questions or collaboration: