Identifying Dyscalculia Symptoms Related to Magnocellular Reasoning Using Smartphones
2016 (English)In: UNIFYING THE APPLICATIONS AND FOUNDATIONS OF BIOMEDICAL AND HEALTH INFORMATICS, IOS PRESS , 2016, Vol. 226, 229-232 p.Conference paper (Refereed)
This paper presents a study that has developed a mobile software application for assisting diagnosis of learning disabilities in mathematics, called dyscalculia, and measuring correlations between dyscalculia symptoms and magnocellular reasoning. Usually, software aids for dyscalculic individuals are focused on both assisting diagnosis and teaching the material. The software developed in this study however maintains a specific focus on the former, and in the process attempts to capture alleged correlations between dyscalculia symptoms and possible underlying causes of the condition. Classification of symptoms is performed by k-Nearest Neighbor algorithm classifying five parameters evaluating users skills, returning calculated performance in each category as well as correlation strength between detected symptoms and magnocellular reasoning abilities. Expert evaluations has found the application to be appropriate and productive for its intended purpose, proving that mobile software is a suitable and valuable tool for assisting dyscalculia diagnosis and identifying root causes of developing the condition.
Place, publisher, year, edition, pages
IOS PRESS , 2016. Vol. 226, 229-232 p.
Studies in Health Technology and Informatics, ISSN 0926-9630
Dyscalculia; magnocellular cells; k-Nearest Neighbor; mobile application
IdentifiersURN: urn:nbn:se:liu:diva-132575DOI: 10.3233/978-1-61499-664-4-229ISI: 000385446600054ISBN: 978-1-61499-664-4; 978-1-61499-663-7 OAI: oai:DiVA.org:liu-132575DiVA: diva2:1046655
14th Annual International Conference on Informatics, Management, and Technology in Healthcare (ICIMTH)