Testing AI Companion for Solving the Fermi Problems: Implications for the Solution Categorization Framework

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dc.contributor.authorSevinc, Serife
dc.contributor.authorSchorcht, Sebastian
dc.date.accessioned2025-11-18T11:59:52Z
dc.date.available2025-11-18T11:59:52Z
dc.date.issued2025
dc.description.abstractThis study presents an attempt of testing AI companion for solving Fermi problems that are open-ended and estimation-based problems. Specicically, the study aims to test AI companion for solving these three sets of Fermi problems and seek the ways of extending the solution categorization framework proposed by Albarracín and Gorgorió (2014), which puts forward a theoretical implication for further research with Fermi problems.en
dc.identifier.urihttp://hdl.handle.net/2003/44199
dc.identifier.urihttp://dx.doi.org/10.17877/DE290R-25967
dc.language.isoen
dc.publisherGesellschaft für Didaktik der Mathematik
dc.relation.ispartofBeiträge zum Mathematikunterricht 2025
dc.relation.ispartofseriesBeiträge zum Mathematikunterricht; 58
dc.subjectProblemlösende
dc.subjectModellierende
dc.subjectMathematik im Alltagde
dc.subjectKünstliche Intelligenzde
dc.subjectExplorative Studiede
dc.subject.ddc510
dc.titleTesting AI Companion for Solving the Fermi Problems: Implications for the Solution Categorization Frameworken
dc.typeText
dc.type.publicationtypeConferencePaper
dcterms.accessRightsopen access
eldorado.dnb.deposittrue
eldorado.secondarypublicationfalse

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