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

Enrique Garcia Moreno-Esteva, Sonia White, Joanne Wood, Alexander Black

Forskningsoutput: Kapitel i bok/rapport/konferenshandlingKonferensbidragVetenskapligPeer review

Sammanfattning

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.
Originalspråkengelska
Titel på värdpublikationProceedings of the Tenth Congress of the European Society for Research in Mathematics Education (CERME10, February 1-5, 2017)
RedaktörerThérèse Dooley, Ghislaine Gueudet
Antal sidor8
UtgivningsortDublin, Ireland
FörlagDublin City University
Utgivningsdatum2017
Sidor3928-3935
ISBN (elektroniskt)978-1-873769-73-7
StatusPublicerad - 2017
MoE-publikationstypA4 Artikel i en konferenspublikation
EvenemangCERME10 - Dublin, Irland
Varaktighet: 1 feb. 2017 → …

Vetenskapsgrenar

  • 516 Pedagogik

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