oru.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Differences in Quantity Recognition Between Students with and without Mathematical Difficulties Analyzed Through Eye: Analysis Through Eye-Tracking and AI
Örebro University, School of Science and Technology. University of Cologne, Cologne, Germany.ORCID iD: 0000-0001-9530-4151
Örebro University, School of Science and Technology. (AASS Research Centre, Mobile Robotics and Olfaction Lab)ORCID iD: 0000-0003-4026-7490
Örebro University, School of Science and Technology. (AASS Research Centre, Mobile Robotics and Olfaction Lab)ORCID iD: 0000-0003-0217-9326
2019 (English)In: Proceedings of the 43rd Conference of the International Group for the Psychology of Mathematics Education / [ed] M. Graven, H. Venkat, A. Essien & P. Vale, PME , 2019, Vol. 3, p. 281-288Conference paper, Published paper (Refereed)
Abstract [en]

Difficulties in mathematics learning are an important topic in practice and research. In particular, researchers and practitioners need to identify students’ needs for support to teach and help them adequately. However, empirical research about group differences of students with and without mathematical difficulties (MD) is still scarce. Previous research suggests that students with MD may differ in their quantity recognition strategies in structured whole number representations from students without MD. This study uses eye-tracking (ET), combined with Artificial Intelligence (AI), in particular pattern recognition methods, to analyze group differences in gaze patterns in quantity recognition of N=164 fifth grade students.

Place, publisher, year, edition, pages
PME , 2019. Vol. 3, p. 281-288
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Mathematics
Identifiers
URN: urn:nbn:se:oru:diva-79730OAI: oai:DiVA.org:oru-79730DiVA, id: diva2:1390984
Conference
43rd Conference of the International Group for the Psychology of Mathematics Education, Pretoria, South Africa, 7-12 July, 2019
Available from: 2020-02-03 Created: 2020-02-03 Last updated: 2020-02-06Bibliographically approved

Open Access in DiVA

Differences in Quantity Recognition Between Students with and without Mathematical Difficulties Analyzed Through Eye(441 kB)11 downloads
File information
File name FULLTEXT01.pdfFile size 441 kBChecksum SHA-512
693a0d164312b88ecc12628a7f48ab354c1fec409b3f8698c6e03354d0c4b3b22941d57c1e57b4af2a7e01dac93ee28f66800f8ce029e2d8ce202dcf5813f1ac
Type fulltextMimetype application/pdf

Authority records BETA

Schindler, MaikeSchaffernicht, ErikLilienthal, Achim J.

Search in DiVA

By author/editor
Schindler, MaikeSchaffernicht, ErikLilienthal, Achim J.
By organisation
School of Science and Technology
Other Electrical Engineering, Electronic Engineering, Information Engineering

Search outside of DiVA

GoogleGoogle Scholar
Total: 11 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 32 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf