I AM A.I. Gradient Descent - An Open-Source Digital Game for Inquiry-Based CLIL Learning
Abstract
We present an interactive online workshop for K-12 students, which aims in familiarizing students with core concepts of AI. The workshop consists of a variety of resources, inspired by inquiry-based learning techniques, of which we present in detail one module, centered around a browser-based game called Gradient Descent. This module introduces the mathematical concepts behind a gradient descent-based optimization algorithm through the computer game of a treasure hunt at an unknown sea surface landscape. Finally, we report on student feedback for the module in a series of content and language integrated learning in German (CLiLiG) workshops for students aged 14-17 in 30 countries.
Cite
Text
Geldhauser et al. "I AM A.I. Gradient Descent - An Open-Source Digital Game for Inquiry-Based CLIL Learning." AAAI Conference on Artificial Intelligence, 2022. doi:10.1609/AAAI.V36I11.21553Markdown
[Geldhauser et al. "I AM A.I. Gradient Descent - An Open-Source Digital Game for Inquiry-Based CLIL Learning." AAAI Conference on Artificial Intelligence, 2022.](https://mlanthology.org/aaai/2022/geldhauser2022aaai-i/) doi:10.1609/AAAI.V36I11.21553BibTeX
@inproceedings{geldhauser2022aaai-i,
title = {{I AM A.I. Gradient Descent - An Open-Source Digital Game for Inquiry-Based CLIL Learning}},
author = {Geldhauser, Carina and Matt, Andreas Daniel and Stussak, Christian},
booktitle = {AAAI Conference on Artificial Intelligence},
year = {2022},
pages = {12751-12757},
doi = {10.1609/AAAI.V36I11.21553},
url = {https://mlanthology.org/aaai/2022/geldhauser2022aaai-i/}
}