@article{Geldhauser_Matt_Stussak_2022, title={I AM A.I. Gradient Descent – an Open-Source Digital Game for Inquiry-Based CLIL Learning}, volume={36}, url={https://ojs.aaai.org/index.php/AAAI/article/view/21553}, DOI={10.1609/aaai.v36i11.21553}, abstractNote={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.}, number={11}, journal={Proceedings of the AAAI Conference on Artificial Intelligence}, author={Geldhauser, Carina and Matt, Andreas Daniel and Stussak, Christian}, year={2022}, month={Jun.}, pages={12751-12757} }