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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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 >

Title: Identifying key visual-cognitive processes in students’ interpretation of graph representations using eye-tracking data and math/machine learning based data analysis
Author: Garcia Moreno-Esteva, Enrique; White, Sonia; Wood, Joanne; Black, Alexander
Editor: Dooley, Thérèse; Gueudet, Ghislaine
Contributor: University of Helsinki, Department of Education
Publisher: Dublin City University
Date: 2017
Language: eng
Number of pages: 8
Belongs to series: Proceedings of the Tenth Congress of the European Society for Research in Mathematics Education (CERME10, February 1-5, 2017)
ISBN: 978-1-873769-73-7
URI: http://hdl.handle.net/10138/232479
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.
Subject: 516 Educational sciences
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