Dieses Jahr feiert der Helene-Lange-Preis seine Neuauflage und Dr. Maria Rauschenberger mit Ihre Promotion “Early screening of dyslexia using a language-independent content game and machine learning” ist unter den drei Nominierten! Die Verleihung findet am 1. April im Edith-Russ-Haus für Medienkunst statt.
Der Helene-Lange-Preis richtet sich an junge (Nachwuchs-) Wissenschaftlerinnen, die sich auf besonders innovative und kreative Art und Weise mit alltagsrelevanten Aspekten der Digitalisierung befassen und die Vision haben, die Wissenschaft, Wirtschaft sowie gesellschaftliche Veränderungsprozesse in der Gegenwart und in Zukunft aktiv mitzugestalten. (15.000 Euro dotiert)
We made a huge effort and collected, clustered, and compared different applications for dyslexia for intervention, screening but also for assisted Reading or Writing. We present the result in our chapter “Technologies for Dyslexia” available in the book Web Accessibility.
Our chapter includes past, current, and future research technologies to support, intervene, or detect people with dyslexia!
The other chapters are also a great resource on Web Accessibility! If you are looking for details or a starting point for your research as well as detailed information on a specific topic like “Mathematics and Statistics”, “Multimedia Accessibility”, “Wearables”, “Mobile Web“… It is your book about recent Web Accessibility development.
With your collaboration, you would help our research immensely. The goal of our research is to contribute to the development of support tools for dyslexia in English.
Participants would have to play for 5-10 minutes the game MusVis (see Screenshot). This game explores how musical and visual elements have an impact on children with and, without dyslexia. We are looking for children between 8 and 11 years old. Only a desktop or laptop computer OR tablet, headphones, and Internet are needed.
Please if you would like to participate – leave your contact details and we contact you with the study details. Duration only 5 – 10 Minutes.
The prototype was designed with the help of five children and five parents who tested the game and the results of the usability study have been presented this year at the research conference Web for all (W4A) in Australia in April.
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!
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’.
“Kinder mit Lese-Rechtschreib-Schwäche haben auch Stärken – und die gilt es zu finden und ebenfalls zu fördern. Es ist nicht nötig, diese Kinder alleine über ihre Lese- und Rechtschreibfähigkeiten zu definieren und es gibt viele Möglichkeiten, nach der Schule Tools zu nutzen und Methoden zu entwickeln, um die Rechtschreibung zuverbessern.” – Maria Rauschenberger –
Vokabel Trainer: Learning words I frequently spell wrong with the App Semper
Spellchecker:Grammarly – still use the free version – which is helping very much to find the mistakes in English
Spellchecker:Google Docs finds lots of mistakes – good for writing anything there and then copy and past it 😉
Course for Learning how to read and write (Hamburg)