Identifying key visual-cognitive processes in students’ interpretation of graph representations using eye-tracking data and math/machine learning based data analysis

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dc.contributor.author Garcia Moreno-Esteva, Enrique
dc.contributor.author White, Sonia
dc.contributor.author Wood, Joanne
dc.contributor.author Black, Alexander
dc.contributor.editor Dooley, Thérèse
dc.contributor.editor Gueudet, Ghislaine
dc.date.accessioned 2018-02-15T11:13:00Z
dc.date.available 2018-02-15T11:13:00Z
dc.date.issued 2017
dc.identifier.citation Garcia Moreno-Esteva , E , White , S , Wood , J & Black , A 2017 , Identifying key visual-cognitive processes in students’ interpretation of graph representations using eye-tracking data and math/machine learning based data analysis . in T Dooley & G Gueudet (eds) , Proceedings of the Tenth Congress of the European Society for Research in Mathematics Education (CERME10, February 1-5, 2017) . Dublin City University , Dublin, Ireland , pp. 3928-3935 , CERME10 , Dublin , Ireland , 01/02/2017 . < http://www.mathematik.uni-dortmund.de/~prediger/ERME/CERME10_Proceedings_2017.pdf >
dc.identifier.citation conference
dc.identifier.other PURE: 98017479
dc.identifier.other PURE UUID: 260b92c0-d384-4bcf-ad8f-42ce25870856
dc.identifier.uri http://hdl.handle.net/10138/232479
dc.description.abstract We present a mathematical and computational analysis, partially based on machine learning techniques, of the visual scan-paths obtained during a graph interpretation task which allows us to identify when the problem solver succeeds in solving the problem with a fair degree of accuracy, and helps to understand the visual-cognitive processes at work during the problem solving task. en
dc.format.extent 8
dc.language.iso eng
dc.publisher Dublin City University
dc.relation.ispartof Proceedings of the Tenth Congress of the European Society for Research in Mathematics Education (CERME10, February 1-5, 2017)
dc.relation.isversionof 978-1-873769-73-7
dc.rights unspecified
dc.rights.uri info:eu-repo/semantics/openAccess
dc.subject 516 Educational sciences
dc.title Identifying key visual-cognitive processes in students’ interpretation of graph representations using eye-tracking data and math/machine learning based data analysis en
dc.type Conference contribution
dc.contributor.organization Department of Education
dc.contributor.organization Mobile gaze tracking of social interaction
dc.description.reviewstatus Peer reviewed
dc.rights.accesslevel openAccess
dc.type.version publishedVersion
dc.relation.funder SUOMEN AKATEMIA
dc.identifier.url http://www.mathematik.uni-dortmund.de/~prediger/ERME/CERME10_Proceedings_2017.pdf
dc.relation.grantnumber

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