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Small number enumeration processes of deaf or hard-of-hearing students: A study using eye tracking and artificial intelligence

Students who are deaf or hard-of-hearing (DHH) often show significant difficulties in learning mathematics. Previous studies have reported that students who are DHH lag several years behind in their mathematical development compared to hearing students. As possible reasons, limited learning opportun...

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Autores principales: Schindler, Maike, Doderer, Jan H., Simon, Anna L., Schaffernicht, Erik, Lilienthal, Achim J., Schäfer, Karolin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9441847/
https://www.ncbi.nlm.nih.gov/pubmed/36072043
http://dx.doi.org/10.3389/fpsyg.2022.909775
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author Schindler, Maike
Doderer, Jan H.
Simon, Anna L.
Schaffernicht, Erik
Lilienthal, Achim J.
Schäfer, Karolin
author_facet Schindler, Maike
Doderer, Jan H.
Simon, Anna L.
Schaffernicht, Erik
Lilienthal, Achim J.
Schäfer, Karolin
author_sort Schindler, Maike
collection PubMed
description Students who are deaf or hard-of-hearing (DHH) often show significant difficulties in learning mathematics. Previous studies have reported that students who are DHH lag several years behind in their mathematical development compared to hearing students. As possible reasons, limited learning opportunities due to a lesser incidental exposure to numerical ideas, delays in language and speech development, and further idiosyncratic difficulties of students who are DHH are discussed; however, early mathematical skills and their role in mathematical difficulties of students who are DHH are not explored sufficiently. In this study, we investigate whether students who are DHH differ from hearing students in their ability to enumerate small sets (1–9)—an ability that is associated with mathematical difficulties and their emergence. Based on a study with N = 63 who are DHH and N = 164 hearing students from third to fifth grade attempting 36 tasks, we used eye tracking, the recording of students' eye movements, to qualitatively investigate student enumeration processes. To reduce the effort of qualitative analysis of around 8,000 student enumeration processes (227 students x 36 tasks), we used Artificial Intelligence, in particular, a clustering algorithm, to identify student enumeration processes from the heatmaps of student gaze distributions. Based on the clustering, we found that gaze distributions of students who are DHH and students with normal hearing differed significantly on a group level, indicating differences in enumeration processes, with students who are DHH using advantageous processes (e.g., enumeration “at a glance”) more often than hearing students. The results indicate that students who are DHH do not lag behind in small number enumeration as compared to hearing students but, rather, appear to perform better than their hearing peers in small number enumeration processes, as well as when conceptual knowledge about the part-whole relationship is involved. Our study suggests that the mathematical difficulties of students who are DHH are not related to difficulties in the small number enumeration, which offers interesting perspectives for further research.
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spelling pubmed-94418472022-09-06 Small number enumeration processes of deaf or hard-of-hearing students: A study using eye tracking and artificial intelligence Schindler, Maike Doderer, Jan H. Simon, Anna L. Schaffernicht, Erik Lilienthal, Achim J. Schäfer, Karolin Front Psychol Psychology Students who are deaf or hard-of-hearing (DHH) often show significant difficulties in learning mathematics. Previous studies have reported that students who are DHH lag several years behind in their mathematical development compared to hearing students. As possible reasons, limited learning opportunities due to a lesser incidental exposure to numerical ideas, delays in language and speech development, and further idiosyncratic difficulties of students who are DHH are discussed; however, early mathematical skills and their role in mathematical difficulties of students who are DHH are not explored sufficiently. In this study, we investigate whether students who are DHH differ from hearing students in their ability to enumerate small sets (1–9)—an ability that is associated with mathematical difficulties and their emergence. Based on a study with N = 63 who are DHH and N = 164 hearing students from third to fifth grade attempting 36 tasks, we used eye tracking, the recording of students' eye movements, to qualitatively investigate student enumeration processes. To reduce the effort of qualitative analysis of around 8,000 student enumeration processes (227 students x 36 tasks), we used Artificial Intelligence, in particular, a clustering algorithm, to identify student enumeration processes from the heatmaps of student gaze distributions. Based on the clustering, we found that gaze distributions of students who are DHH and students with normal hearing differed significantly on a group level, indicating differences in enumeration processes, with students who are DHH using advantageous processes (e.g., enumeration “at a glance”) more often than hearing students. The results indicate that students who are DHH do not lag behind in small number enumeration as compared to hearing students but, rather, appear to perform better than their hearing peers in small number enumeration processes, as well as when conceptual knowledge about the part-whole relationship is involved. Our study suggests that the mathematical difficulties of students who are DHH are not related to difficulties in the small number enumeration, which offers interesting perspectives for further research. Frontiers Media S.A. 2022-08-22 /pmc/articles/PMC9441847/ /pubmed/36072043 http://dx.doi.org/10.3389/fpsyg.2022.909775 Text en Copyright © 2022 Schindler, Doderer, Simon, Schaffernicht, Lilienthal and Schäfer. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Psychology
Schindler, Maike
Doderer, Jan H.
Simon, Anna L.
Schaffernicht, Erik
Lilienthal, Achim J.
Schäfer, Karolin
Small number enumeration processes of deaf or hard-of-hearing students: A study using eye tracking and artificial intelligence
title Small number enumeration processes of deaf or hard-of-hearing students: A study using eye tracking and artificial intelligence
title_full Small number enumeration processes of deaf or hard-of-hearing students: A study using eye tracking and artificial intelligence
title_fullStr Small number enumeration processes of deaf or hard-of-hearing students: A study using eye tracking and artificial intelligence
title_full_unstemmed Small number enumeration processes of deaf or hard-of-hearing students: A study using eye tracking and artificial intelligence
title_short Small number enumeration processes of deaf or hard-of-hearing students: A study using eye tracking and artificial intelligence
title_sort small number enumeration processes of deaf or hard-of-hearing students: a study using eye tracking and artificial intelligence
topic Psychology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9441847/
https://www.ncbi.nlm.nih.gov/pubmed/36072043
http://dx.doi.org/10.3389/fpsyg.2022.909775
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