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

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

Kasvatustieteiden osasto

Tutkimustuotos: Artikkeli kirjassa/raportissa/konferenssijulkaisussa › Konferenssiartikkeli › Tieteellinen › vertaisarvioitu

Abstrakti

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.

Alkuperäiskieli	englanti
Otsikko	Proceedings of the Tenth Congress of the European Society for Research in Mathematics Education (CERME10, February 1-5, 2017)
Toimittajat	Thérèse Dooley, Ghislaine Gueudet
Sivumäärä	8
Julkaisupaikka	Dublin, Ireland
Kustantaja	Dublin City University
Julkaisupäivä	2017
Sivut	3928-3935
ISBN (elektroninen)	978-1-873769-73-7
Tila	Julkaistu - 2017
OKM-julkaisutyyppi	A4 Artikkeli konferenssijulkaisuussa
Tapahtuma	CERME10 - Dublin, Irlanti Kesto: 1 helmik. 2017 → …

Tieteenalat

516 Kasvatustieteet

Pääsy asiakirjaan

CERME10_0170Lopullinen julkaistu versio, 182 KBLisenssi: Määrittelemätön

http://www.mathematik.uni-dortmund.de/~prediger/ERME/CERME10_Proceedings_2017.pdf

1 Aktiivinen

MathTrack: Mobile gaze tracking for the study of attention and emotion in collaborative mathematical problem solving
Hannula, M., Laine, A., Garcia Moreno-Esteva, E., Toivanen, M., Huotilainen, M., Haataja, E. & Salminen, J.
SUOMEN AKATEMIA
01/08/2016 → …
Projekti: Tutkimusprojekti

Siteeraa tätä

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. teoksessa T. Dooley, & G. Gueudet (Toimittajat), Proceedings of the Tenth Congress of the European Society for Research in Mathematics Education (CERME10, February 1-5, 2017) (Sivut 3928-3935). Dublin City University. http://www.mathematik.uni-dortmund.de/~prediger/ERME/CERME10_Proceedings_2017.pdf

Garcia Moreno-Esteva, Enrique ; White, Sonia ; Wood, Joanne ; Black, Alexander. / Identifying key visual-cognitive processes in students’ interpretation of graph representations using eye-tracking data and math/machine learning based data analysis. Proceedings of the Tenth Congress of the European Society for Research in Mathematics Education (CERME10, February 1-5, 2017). Toimittaja / Thérèse Dooley ; Ghislaine Gueudet. Dublin, Ireland : Dublin City University, 2017. Sivut 3928-3935

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title = "Identifying key visual-cognitive processes in students{\textquoteright} interpretation of graph representations using eye-tracking data and math/machine learning based data analysis",

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.",

keywords = "516 Educational sciences",

author = "{Garcia Moreno-Esteva}, Enrique and Sonia White and Joanne Wood and Alexander Black",

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editor = "Th{\'e}r{\`e}se Dooley and Ghislaine Gueudet",

booktitle = "Proceedings of the Tenth Congress of the European Society for Research in Mathematics Education (CERME10, February 1-5, 2017)",

publisher = "Dublin City University",

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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. julkaisussa T Dooley & G Gueudet (toim), Proceedings of the Tenth Congress of the European Society for Research in Mathematics Education (CERME10, February 1-5, 2017). Dublin City University, Dublin, Ireland, Sivut 3928-3935, CERME10, Dublin, Irlanti, 01/02/2017. <http://www.mathematik.uni-dortmund.de/~prediger/ERME/CERME10_Proceedings_2017.pdf>

Identifying key visual-cognitive processes in students’ interpretation of graph representations using eye-tracking data and math/machine learning based data analysis. / Garcia Moreno-Esteva, Enrique; White, Sonia; Wood, Joanne; Black, Alexander.

Proceedings of the Tenth Congress of the European Society for Research in Mathematics Education (CERME10, February 1-5, 2017). toim. / Thérèse Dooley; Ghislaine Gueudet. Dublin, Ireland : Dublin City University, 2017. s. 3928-3935.

Tutkimustuotos: Artikkeli kirjassa/raportissa/konferenssijulkaisussa › Konferenssiartikkeli › Tieteellinen › vertaisarvioitu

TY - GEN

T1 - Identifying key visual-cognitive processes in students’ interpretation of graph representations using eye-tracking data and math/machine learning based data analysis

AU - Garcia Moreno-Esteva, Enrique

AU - White, Sonia

AU - Wood, Joanne

AU - Black, Alexander

PY - 2017

Y1 - 2017

N2 - 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.

AB - 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.

KW - 516 Educational sciences

M3 - Conference contribution

SP - 3928

EP - 3935

BT - Proceedings of the Tenth Congress of the European Society for Research in Mathematics Education (CERME10, February 1-5, 2017)

A2 - Dooley, Thérèse

A2 - Gueudet, Ghislaine

PB - Dublin City University

CY - Dublin, Ireland

T2 - CERME10

Y2 - 1 February 2017

ER -

Garcia Moreno-Esteva E, White S, Wood J, Black A. Identifying key visual-cognitive processes in students’ interpretation of graph representations using eye-tracking data and math/machine learning based data analysis. julkaisussa Dooley T, Gueudet G, toimittajat, Proceedings of the Tenth Congress of the European Society for Research in Mathematics Education (CERME10, February 1-5, 2017). Dublin, Ireland: Dublin City University. 2017. s. 3928-3935

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

Abstrakti

Tieteenalat

Pääsy asiakirjaan

Projektit

MathTrack: Mobile gaze tracking for the study of attention and emotion in collaborative mathematical problem solving

Siteeraa tätä