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

Geldhauser, Carina LU orcid ; Matt, Andreas Daniel and Stussak, Christian (2022) 36th AAAI Conference on Artificial Intelligence, AAAI 2022 In Proceedings of the 36th AAAI Conference on Artificial Intelligence, AAAI 2022 36. p.12751-12757
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.

Please use this url to cite or link to this publication:
author
; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
categories
Higher Education
host publication
IAAI-22, EAAI-22, AAAI-22 Special Programs and Special Track, Student Papers and Demonstrations
series title
Proceedings of the 36th AAAI Conference on Artificial Intelligence, AAAI 2022
volume
36
pages
7 pages
publisher
The Association for the Advancement of Artificial Intelligence
conference name
36th AAAI Conference on Artificial Intelligence, AAAI 2022
conference location
Virtual, Online
conference dates
2022-02-22 - 2022-03-01
external identifiers
  • scopus:85147608359
ISBN
1577358767
9781577358763
DOI
10.1609/aaai.v36i11.21553
language
English
LU publication?
yes
additional info
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.
id
388b5cdb-60ae-4746-845f-1b948c3a4a5d
date added to LUP
2023-02-16 15:07:33
date last changed
2023-03-21 14:22:58
@inproceedings{388b5cdb-60ae-4746-845f-1b948c3a4a5d,
  abstract     = {{<p>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.</p>}},
  author       = {{Geldhauser, Carina and Matt, Andreas Daniel and Stussak, Christian}},
  booktitle    = {{IAAI-22, EAAI-22, AAAI-22 Special Programs and Special Track, Student Papers and Demonstrations}},
  isbn         = {{1577358767}},
  language     = {{eng}},
  month        = {{06}},
  pages        = {{12751--12757}},
  publisher    = {{The Association for the Advancement of Artificial Intelligence}},
  series       = {{Proceedings of the 36th AAAI Conference on Artificial Intelligence, AAAI 2022}},
  title        = {{I AM A.I. Gradient Descent - an Open-Source Digital Game for Inquiry-Based CLIL Learning}},
  url          = {{http://dx.doi.org/10.1609/aaai.v36i11.21553}},
  doi          = {{10.1609/aaai.v36i11.21553}},
  volume       = {{36}},
  year         = {{2022}},
}