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dc.contributor.authorChklovski, Tara
dc.contributor.authorJung, Richard
dc.contributor.authorAnderson, Rebecca
dc.contributor.authorYoung, Kathryn
dc.date2021-06-01
dc.date.accessioned2021-10-04T12:29:02Z
dc.date.available2021-10-04T12:29:02Z
dc.date.issued2021
dc.identifier.issn1610-1987
dc.identifier.urihttp://dx.doi.org/10.1007/s13218-021-00738-2
dc.identifier.urihttp://dl.gi.de/handle/20.500.12116/37489
dc.description.abstractOver the course of 2 years a global technology education nonprofit engaged ~ 20,000 under-resourced 3rd-8th grade students, parents and educators from 13 countries in a multi-week AI competition. Families worked together with the help of educators to identify meaningful problems in their communities and developed AI-prototypes to address them. Key findings included: (1) Identifying a high level of interest in underserved communities to develop and apply AI-literacy skills; (2) Determining curricular and program implementation elements that enable families to apply AI knowledge and skills to real problems; (3) Identifying effective methods of engaging industry mentors to support participants; (4) Measuring and identifying changes in self-efficacy and ability to apply AI-based tools to real-world problems; (5) Determining effective curricula around value-sensitive design and ethical innovation.de
dc.publisherSpringer
dc.relation.ispartofKI - Künstliche Intelligenz: Vol. 35, No. 2
dc.relation.ispartofseriesKI - Künstliche Intelligenz
dc.subjectAI-ethics curriculum
dc.subjectMentoring
dc.subjectUnder-resourced families
dc.titleComparing 2 Years of Empowering Families to Solve Real-World Problems with AIde
dc.typeText/Journal Article
mci.reference.pages207-219
dc.identifier.doi10.1007/s13218-021-00738-2


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