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

Carina Geldhauser; Andreas Daniel Matt; Christian Stussak

doi:10.1609/aaai.v36i11.21553

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

Carina Geldhauser, Andreas Daniel Matt, Christian Stussak

Mathematics (Faculty of Engineering)

IMAGINARY GGmbH

Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review

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.

Original language	English
Title of host publication	IAAI-22, EAAI-22, AAAI-22 Special Programs and Special Track, Student Papers and Demonstrations
Publisher	The Association for the Advancement of Artificial Intelligence
Pages	12751-12757
Number of pages	7
ISBN (Electronic)	1577358767, 9781577358763
DOIs	https://doi.org/10.1609/aaai.v36i11.21553
Publication status	Published - 2022 Jun 30
Event	36th AAAI Conference on Artificial Intelligence, AAAI 2022 - Virtual, Online Duration: 2022 Feb 22 → 2022 Mar 1

Publication series

Name	Proceedings of the 36th AAAI Conference on Artificial Intelligence, AAAI 2022
Volume	36

Conference

Conference	36th AAAI Conference on Artificial Intelligence, AAAI 2022
City	Virtual, Online
Period	2022/02/22 → 2022/03/01

Bibliographical note

Funding Information:
The Gradient Descent game is part of the I AM A.I. project by IMAGINARY, financed by the Carl Zeiss Foundation. It has been originally developed for a traveling exhibition module and then adapted for digital use.

Publisher Copyright:
Copyright © 2022, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.

Subject classification (UKÄ)

Educational Sciences

Access to Document

10.1609/aaai.v36i11.21553

Cite this

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 IAAI-22, EAAI-22, AAAI-22 Special Programs and Special Track, Student Papers and Demonstrations (pp. 12751-12757). (Proceedings of the 36th AAAI Conference on Artificial Intelligence, AAAI 2022; Vol. 36). The Association for the Advancement of Artificial Intelligence. https://doi.org/10.1609/aaai.v36i11.21553

Geldhauser, Carina ; Matt, Andreas Daniel ; Stussak, Christian. / I AM A.I. Gradient Descent - an Open-Source Digital Game for Inquiry-Based CLIL Learning. IAAI-22, EAAI-22, AAAI-22 Special Programs and Special Track, Student Papers and Demonstrations. The Association for the Advancement of Artificial Intelligence, 2022. pp. 12751-12757 (Proceedings of the 36th AAAI Conference on Artificial Intelligence, AAAI 2022).

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title = "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.",

author = "Carina Geldhauser and Matt, {Andreas Daniel} and Christian Stussak",

note = "Funding Information: The Gradient Descent game is part of the I AM A.I. project by IMAGINARY, financed by the Carl Zeiss Foundation. It has been originally developed for a traveling exhibition module and then adapted for digital use. Publisher Copyright: Copyright {\textcopyright} 2022, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.; 36th AAAI Conference on Artificial Intelligence, AAAI 2022 ; Conference date: 22-02-2022 Through 01-03-2022",

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doi = "10.1609/aaai.v36i11.21553",

language = "English",

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Geldhauser, C, Matt, AD & Stussak, C 2022, I AM A.I. Gradient Descent - an Open-Source Digital Game for Inquiry-Based CLIL Learning. in IAAI-22, EAAI-22, AAAI-22 Special Programs and Special Track, Student Papers and Demonstrations. Proceedings of the 36th AAAI Conference on Artificial Intelligence, AAAI 2022, vol. 36, The Association for the Advancement of Artificial Intelligence, pp. 12751-12757, 36th AAAI Conference on Artificial Intelligence, AAAI 2022, Virtual, Online, 2022/02/22. https://doi.org/10.1609/aaai.v36i11.21553

I AM A.I. Gradient Descent - an Open-Source Digital Game for Inquiry-Based CLIL Learning. / Geldhauser, Carina; Matt, Andreas Daniel; Stussak, Christian.
IAAI-22, EAAI-22, AAAI-22 Special Programs and Special Track, Student Papers and Demonstrations. The Association for the Advancement of Artificial Intelligence, 2022. p. 12751-12757 (Proceedings of the 36th AAAI Conference on Artificial Intelligence, AAAI 2022; Vol. 36).

Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review

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N2 - 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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Geldhauser C, Matt AD, Stussak C. I AM A.I. Gradient Descent - an Open-Source Digital Game for Inquiry-Based CLIL Learning. In IAAI-22, EAAI-22, AAAI-22 Special Programs and Special Track, Student Papers and Demonstrations. The Association for the Advancement of Artificial Intelligence. 2022. p. 12751-12757. (Proceedings of the 36th AAAI Conference on Artificial Intelligence, AAAI 2022). doi: 10.1609/aaai.v36i11.21553

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

Abstract

Publication series

Conference

Bibliographical note

Subject classification (UKÄ)

Access to Document

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Cite this