DIFFERENCES IN QUANTITY RECOGNITION OF STUDENTS WITH AND WITHOUT MATHEMATICAL DIFFICULTIES: ANALYSIS THROUGH EYE-TRACKING AND AI

Maike Schindler, Erik Schaffernicht, Achim J. Lilienthal

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

2 Zitate (Scopus)

Abstract

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.

OriginalspracheEnglisch
TitelProceedings of the 43rd Conference of the International Group for the Psychology of Mathematics Education, 2019
Redakteure/-innenMellony Graven, Hamsa Venkat, Anthony A Essien, Pamela Vale
Herausgeber (Verlag)Psychology of Mathematics Education (PME)
Seiten281-288
Seitenumfang8
ISBN (Print)9780639821542
PublikationsstatusVeröffentlicht - 2019
Extern publiziertJa
Veranstaltung43rd Annual Conference of the International Group for the Psychology of Mathematics Education, PME 2019 - Pretoria, Südafrika
Dauer: 7 Juli 201912 Juli 2019

Publikationsreihe

NameProceedings of the International Group for the Psychology of Mathematics Education
Band3
ISSN (Print)0771-100X
ISSN (elektronisch)2790-3648

Konferenz

Konferenz43rd Annual Conference of the International Group for the Psychology of Mathematics Education, PME 2019
Land/GebietSüdafrika
OrtPretoria
Zeitraum7/07/1912/07/19

Fingerprint

Untersuchen Sie die Forschungsthemen von „DIFFERENCES IN QUANTITY RECOGNITION OF STUDENTS WITH AND WITHOUT MATHEMATICAL DIFFICULTIES: ANALYSIS THROUGH EYE-TRACKING AND AI“. Zusammen bilden sie einen einzigartigen Fingerprint.

Dieses zitieren