I AM A.I. Gradient Descent – an Open-Source Digital Game for Inquiry-Based CLIL Learning

Authors

  • Carina Geldhauser Lund University, Centre for Mathematical Sciences
  • Andreas Daniel Matt IMAGINARY gGmbH, Berlin
  • Christian Stussak IMAGINARY gGmbH, Berlin

DOI:

https://doi.org/10.1609/aaai.v36i11.21553

Keywords:

Computer Game, Gradient Descent, Online Workshops, AI Teaching, Inquiry-based Learning (IBL), Content And Language Integrated Learning (CLIL), AI Exhibition

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.

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Published

2022-06-28

How to Cite

Geldhauser, C., Matt, A. D., & Stussak, C. (2022). I AM A.I. Gradient Descent – an Open-Source Digital Game for Inquiry-Based CLIL Learning. Proceedings of the AAAI Conference on Artificial Intelligence, 36(11), 12751-12757. https://doi.org/10.1609/aaai.v36i11.21553