Logo des Repositoriums
 

Learning by Enhancing Half-Baked AI Projects

dc.contributor.authorKahn, Ken
dc.contributor.authorWinters, Niall
dc.date.accessioned2021-10-04T12:29:02Z
dc.date.available2021-10-04T12:29:02Z
dc.date.issued2021
dc.description.abstractWe 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.de
dc.identifier.doi10.1007/s13218-021-00732-8
dc.identifier.pissn1610-1987
dc.identifier.urihttp://dx.doi.org/10.1007/s13218-021-00732-8
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/37491
dc.publisherSpringer
dc.relation.ispartofKI - Künstliche Intelligenz: Vol. 35, No. 2
dc.relation.ispartofseriesKI - Künstliche Intelligenz
dc.subjectArtificial intelligence
dc.subjectBlocks programming
dc.subjectMachine learning
dc.subjectProject-based learning
dc.subjectSnap!
dc.titleLearning by Enhancing Half-Baked AI Projectsde
dc.typeText/Journal Article
gi.citation.endPage205
gi.citation.startPage201

Dateien