ALLURE: A Multi-Modal Guided Environment for Helping Children Learn to Solve a Rubik’s Cube with Automatic Solving and Interactive Explanations
Keywords:Rubik’s Cube, Education, Reinforcement Learning, AI Explainability, Chatbots, Human Computer Interfaces
AbstractModern artificial intelligence (AI) methods have been used to solve problems that many humans struggle to solve. This opens up new opportunities for knowledge discovery and education. We demonstrate ALLURE, an educational AI system for learning to solve the Rubik’s cube that is designed to help students improve their problem solving skills. ALLURE can both find and explain its own strategies for solving the Rubik’s cube as well as build on user-provided strategies. Collaboration between AI and user happens using visual and natural language modalities.
How to Cite
Lakkaraju, K., Hassan, T., Khandelwal, V., Singh, P., Bradley, C., Shah, R., Agostinelli, F., Srivastava, B., & Wu, D. (2022). ALLURE: A Multi-Modal Guided Environment for Helping Children Learn to Solve a Rubik’s Cube with Automatic Solving and Interactive Explanations. Proceedings of the AAAI Conference on Artificial Intelligence, 36(11), 13185-13187. https://doi.org/10.1609/aaai.v36i11.21722
AAAI Demonstration Track