ALLURE: A Multi-Modal Guided Environment for Helping Children Learn to Solve a Rubik's Cube with Automatic Solving and Interactive Explanations
Abstract
Modern 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.
Cite
Text
Lakkaraju et al. "ALLURE: A Multi-Modal Guided Environment for Helping Children Learn to Solve a Rubik's Cube with Automatic Solving and Interactive Explanations." AAAI Conference on Artificial Intelligence, 2022. doi:10.1609/AAAI.V36I11.21722Markdown
[Lakkaraju et al. "ALLURE: A Multi-Modal Guided Environment for Helping Children Learn to Solve a Rubik's Cube with Automatic Solving and Interactive Explanations." AAAI Conference on Artificial Intelligence, 2022.](https://mlanthology.org/aaai/2022/lakkaraju2022aaai-allure/) doi:10.1609/AAAI.V36I11.21722BibTeX
@inproceedings{lakkaraju2022aaai-allure,
title = {{ALLURE: A Multi-Modal Guided Environment for Helping Children Learn to Solve a Rubik's Cube with Automatic Solving and Interactive Explanations}},
author = {Lakkaraju, Kausik and Hassan, Thahimum and Khandelwal, Vedant and Singh, Prathamjeet and Bradley, Cassidy and Shah, Ronak and Agostinelli, Forest and Srivastava, Biplav and Wu, Dezhi},
booktitle = {AAAI Conference on Artificial Intelligence},
year = {2022},
pages = {13185-13187},
doi = {10.1609/AAAI.V36I11.21722},
url = {https://mlanthology.org/aaai/2022/lakkaraju2022aaai-allure/}
}