Title: Prediction of Dyslexia from Maria Rauschenberger from Web Research Group (WRG)
In regards to the #ESCOLA (22 February 2017) the Universitat Pompeu Fabra (UPF) welcomes the polytechnic School at the Poblenou Campus of Pompeu Fabra University.
Maria Rauschenberger presented the new prototype of MusVis to around 100 students at the ESCOLAB 2017. MusVis is a research application and aims to analyze how people with and without Dyslexia perceive music and visual elements.
Please leave your contact if you would like to participate!
Information from Universitat Pompeu Fabra: https://www.upf.edu/en/web/etic/news/-/asset_publisher/fK7y8asWA7YS/content/id/7627132/maximized#.WK2kWRLhCCS
Thanks for the fem:talent Scholarship and the nice ceremony
VORTRAGSREIHE DES SPRACHWISSENSCHAFTLICHEN INSTITUTS IM WS 2016/2017
Titel: Detection and intervention of dyslexia.
24.01.2017 at 16:00 at SPRACHWISSENSCHAFTLICHEN INSTITUT
Abstract: Dyslexia is a specific reading disorder, which is probably caused by the ‘phonological skills deficiencies associated with phonological coding deficits’ (Vellutino, Fletcher, Snowling, & Scanlon, 2004). A person with dyslexia has visual and auditory difficulties that cause problems in reading and writing (Deutsches Institut für Medizinische Dokumentation und Information, 2008). Dyslexia is frequent: worldwide, about 10% of the population and from 5 to 12% of the German students have dyslexia.
The problem is that children with dyslexia can learn the spelling of words or decode words for reading but they need more time to practice. For example, two years instead of one for learning how to spell phonetically accurate words (Schulte-Körne, 2010).
Therefore we will first show the power of misspellings for intervention and how a game can help children to decrease their spelling mistakes. We will present the annotation of the errors, the creation of the exercises, and the Dyseggxia application in German.
In contrast to the intervention with misspellings – linguistic features have also the power to predict the risk of dyslexia for children. Therefore the linguistic features which are implemented in the game Dytective will be presented.
Finally, we show the concept of a possible and different approach of ‘How to predict dyslexia without linguistic features’.