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dc.contributor.authorVartiainen, Henriikka
dc.contributor.authorTedre, Matti
dc.contributor.authorValtonen, Teemu
dc.date.accessioned2020-09-07T09:32:59Z
dc.date.available2020-09-07T09:32:59Z
dc.date.issued2020
dc.identifier.urihttps://erepo.uef.fi/handle/123456789/8284
dc.description.abstractWhile artificial intelligence and machine learning is becoming a commonplace feature of people’s everyday lives, so far few theoretical or empirical studies have focused on investigating it in K-12​ education. Drawing on the sociocultural theory of learning and participation, this case study explored how six very young children taught and explored Google’s Teachable Machine in nonschool settings. Through fine-grained analysis of video recordings and interviews with the children, the article illustrates the content and the process of teaching where 3–9 year old children were producing machine learning data sets and models as well as observing, exploring, and explaining their own interaction with machine learning systems. The results illustrate the quick-paced and embodied nature of the child-computer interaction that also supported children to reason about the relationship between their own bodily expressions and the output of an interactive ML-based tool. The article concludes with discussions on the emergent process of teaching and learning as well as on ways of promoting children’s participation and sense of agency in the age of machine learning.
dc.language.isoenglanti
dc.publisherElsevier BV
dc.relation.ispartofseriesInternational journal of child-computer interaction
dc.relation.urihttp://dx.doi.org/10.1016/j.ijcci.2020.100182
dc.rightsCC BY-NC-ND https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectmachine learning
dc.subjectcomputational thinking
dc.subjectK-12
dc.subjectparticipatory learning
dc.subjectearly childhood
dc.subjectparticipatory research
dc.subjectartificial intelligence
dc.titleLearning machine learning with very young children: Who is teaching whom?
dc.description.versionfinal draft
dc.contributor.departmentSchool of Computing, activities
dc.contributor.departmentSchool of Applied Educational Science and Teacher Education / Joensuu
uef.solecris.id71655650en
dc.type.publicationTieteelliset aikakauslehtiartikkelit
dc.rights.accessrights© Elsevier B.V. A
dc.relation.doi10.1016/j.ijcci.2020.100182
dc.description.reviewstatuspeerReviewed
dc.publisher.countryAlankomaat
dc.relation.articlenumber100182
dc.relation.issn2212-8689
dc.relation.volume25
dc.rights.accesslevelopenAccess
dc.type.okmA1
uef.solecris.openaccessEi


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