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

dc.contributor.author	Sevinc, Serife
dc.contributor.author	Schorcht, Sebastian
dc.date.accessioned	2025-11-18T11:59:52Z
dc.date.available	2025-11-18T11:59:52Z
dc.date.issued	2025
dc.description.abstract	This 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.uri	http://hdl.handle.net/2003/44199
dc.identifier.uri	http://dx.doi.org/10.17877/DE290R-25967
dc.language.iso	en
dc.publisher	Gesellschaft für Didaktik der Mathematik
dc.relation.ispartof	Beiträge zum Mathematikunterricht 2025
dc.relation.ispartofseries	Beiträge zum Mathematikunterricht; 58
dc.subject	Problemlösen	de
dc.subject	Modellieren	de
dc.subject	Mathematik im Alltag	de
dc.subject	Künstliche Intelligenz	de
dc.subject	Explorative Studie	de
dc.subject.ddc	510
dc.title	Testing AI Companion for Solving the Fermi Problems: Implications for the Solution Categorization Framework	en
dc.type	Text
dc.type.publicationtype	ConferencePaper
dcterms.accessRights	open access
eldorado.dnb.deposit	true
eldorado.secondarypublication	false

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