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.
CITATION STYLE
Geldhauser, C., Matt, A. D., & Stussak, C. (2022). I AM A.I. Gradient Descent - an Open-Source Digital Game for Inquiry-Based CLIL Learning. In Proceedings of the 36th AAAI Conference on Artificial Intelligence, AAAI 2022 (Vol. 36, pp. 12751–12757). Association for the Advancement of Artificial Intelligence. https://doi.org/10.1609/aaai.v36i11.21553
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