Cargando…
Predicting risk of dyslexia with an online gamified test
Dyslexia is a specific learning disorder related to school failure. Detection is both crucial and challenging, especially in languages with transparent orthographies, such as Spanish. To make detecting dyslexia easier, we designed an online gamified test and a predictive machine learning model. In a...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7710040/ https://www.ncbi.nlm.nih.gov/pubmed/33264301 http://dx.doi.org/10.1371/journal.pone.0241687 |
_version_ | 1783617865315778560 |
---|---|
author | Rello, Luz Baeza-Yates, Ricardo Ali, Abdullah Bigham, Jeffrey P. Serra, Miquel |
author_facet | Rello, Luz Baeza-Yates, Ricardo Ali, Abdullah Bigham, Jeffrey P. Serra, Miquel |
author_sort | Rello, Luz |
collection | PubMed |
description | Dyslexia is a specific learning disorder related to school failure. Detection is both crucial and challenging, especially in languages with transparent orthographies, such as Spanish. To make detecting dyslexia easier, we designed an online gamified test and a predictive machine learning model. In a study with more than 3,600 participants, our model correctly detected over 80% of the participants with dyslexia. To check the robustness of the method we tested our method using a new data set with over 1,300 participants with age customized tests in a different environment -a tablet instead of a desktop computer- reaching a recall of over 78% for the class with dyslexia for children 12 years old or older. Our work shows that dyslexia can be screened using a machine learning approach. An online screening tool in Spanish based on our methods has already been used by more than 200,000 people. |
format | Online Article Text |
id | pubmed-7710040 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-77100402020-12-03 Predicting risk of dyslexia with an online gamified test Rello, Luz Baeza-Yates, Ricardo Ali, Abdullah Bigham, Jeffrey P. Serra, Miquel PLoS One Research Article Dyslexia is a specific learning disorder related to school failure. Detection is both crucial and challenging, especially in languages with transparent orthographies, such as Spanish. To make detecting dyslexia easier, we designed an online gamified test and a predictive machine learning model. In a study with more than 3,600 participants, our model correctly detected over 80% of the participants with dyslexia. To check the robustness of the method we tested our method using a new data set with over 1,300 participants with age customized tests in a different environment -a tablet instead of a desktop computer- reaching a recall of over 78% for the class with dyslexia for children 12 years old or older. Our work shows that dyslexia can be screened using a machine learning approach. An online screening tool in Spanish based on our methods has already been used by more than 200,000 people. Public Library of Science 2020-12-02 /pmc/articles/PMC7710040/ /pubmed/33264301 http://dx.doi.org/10.1371/journal.pone.0241687 Text en © 2020 Rello et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Rello, Luz Baeza-Yates, Ricardo Ali, Abdullah Bigham, Jeffrey P. Serra, Miquel Predicting risk of dyslexia with an online gamified test |
title | Predicting risk of dyslexia with an online gamified test |
title_full | Predicting risk of dyslexia with an online gamified test |
title_fullStr | Predicting risk of dyslexia with an online gamified test |
title_full_unstemmed | Predicting risk of dyslexia with an online gamified test |
title_short | Predicting risk of dyslexia with an online gamified test |
title_sort | predicting risk of dyslexia with an online gamified test |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7710040/ https://www.ncbi.nlm.nih.gov/pubmed/33264301 http://dx.doi.org/10.1371/journal.pone.0241687 |
work_keys_str_mv | AT relloluz predictingriskofdyslexiawithanonlinegamifiedtest AT baezayatesricardo predictingriskofdyslexiawithanonlinegamifiedtest AT aliabdullah predictingriskofdyslexiawithanonlinegamifiedtest AT bighamjeffreyp predictingriskofdyslexiawithanonlinegamifiedtest AT serramiquel predictingriskofdyslexiawithanonlinegamifiedtest |