Record link: 
http://hdl.handle.net/20.500.12708/200884
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Title: 
A Mental Leap: Impact of Teaching the Math Behind Machine Learning Techniques in K-12
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Citation: 
Lehner, L. (2024). A Mental Leap: Impact of Teaching the Math Behind Machine Learning Techniques in K-12. In ITiCSE 2024: Proceedings of the 2024 on Innovation and Technology in Computer Science Education V. 2 (pp. 844–845). Association for Computing Machinery (ACM). https://doi.org/10.1145/3649405.3659479
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Publisher DOI: 
10.1145/3649405.3659479
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Publication Type: 
Inproceedings - Abstract Book Contribution
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Language: 
English
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Authors: 
Lehner, Lukas 
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Organisational Unit: 
E194-01 - Forschungsbereich Software Engineering 
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Published in: 
ITiCSE 2024: Proceedings of the 2024 on Innovation and Technology in Computer Science Education V. 2 
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ISBN: 
979-8-4007-0600-4
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Date (published): 
Jul-2024
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Event name: 
29th Annual Conference on Innovation and Technology in Computer Science Education (ITiCSE 2024) 
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Event date: 
8-Jul-2024 - 10-Jul-2024
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Event place: 
Mailand, Italy
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Number of Pages: 
2
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Publisher: 
Association for Computing Machinery (ACM), New York, United States
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Peer reviewed: 
Yes
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Keywords: 
AI-literacy; K-12 education; Machine learning education
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Abstract: 
The subject of artificial intelligence is slowly integrated into K-12 curricula, while the question of what, when and how to teach it are still not sufficiently answered. This thesis sets out to explore the how to teach, by investigating how teaching technical details of various machine learning methods advances learning objectives and promotes students’ AI competencies. To this end, educational materials fit for purpose are developed and refined and a study aiming to map ML methods to learning objectives will be conducted.
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Research Areas: 
Logic and Computation: 30%
Mathematical and Algorithmic Foundations: 30%
Beyond TUW-research foci: 40%
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Science Branch: 
1020 - Informatik: 80%
5030 - Erziehungswissenschaften: 20%
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Appears in Collections:
Conference Paper

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