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Journal article

Learning by enhancing half-baked AI projects

Abstract:
We have developed thirty sample artificial intelligence (AI) programs in a form suitable for enhancement by non-expert programmers. The projects are implemented in the Snap! blocks language and can be run in modern web browsers. These projects have been designed to be modifiable by school students and have been iteratively developed with over 100 students. The projects involve speech synthesis, speech and image recognition, natural language processing, and deep machine learning. They illustrate a variety of AI capabilities, concepts, and techniques. The intent is to provide students with hands-on experience with AI programming so they come to understand the possibilities, problems, strengths, and weaknesses of AI today.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1007/s13218-021-00732-8

Authors


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Role:
Author
ORCID:
0000-0002-8208-7423
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Institution:
University of Oxford
Division:
SSD
Sub department:
Education
Oxford college:
Kellogg College
Role:
Author
ORCID:
0000-0001-8597-2914


Publisher:
Springer
Journal:
KI - Künstliche Intelligenz More from this journal
Volume:
35
Issue:
2
Pages:
201-205
Publication date:
2021-06-24
Acceptance date:
2021-06-14
DOI:
EISSN:
1610-1987
ISSN:
0933-1875


Language:
English
Keywords:
Pubs id:
1183446
Local pid:
pubs:1183446
Deposit date:
2021-06-25

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