Rauschenberger, Maria2018-12-202018-12-202016Rauschenberger M. DysMusic: detecting dyslexia by web-based games with music elements. In: Proceedings of the 13th Web for All Conference (W4A'16). Doctoral Consortium; 2016 April 11-13; Montreal, Canada. New York: ACM; 2016. Article No. 25 DOI: 2899475.2899503http://hdl.handle.net/10230/36167Comunicació presentada a: the 13th Web for All Conference (W4A'16). Doctoral Consortium, celebrat de l'11 al 13 d'abril a Montreal, Canadà.The aim of this research is to show that a playful approach combined with music can detect children with dyslexia. Early detection will prevent children from suffering in school until they are detected due to bad grades. Our envisioned web application will contribute to 10% of the population by giving them a chance to succeed in life and find their skills to impress the world.application/pdfeng©2016. The definitive version was published in Proceedings of the 13th Web for All Conference (W4A'16). Doctoral Consortium; 2016 April 11-13; Montreal, Canada. New York: ACM; 2016. Article No. 25. DOI: http://dx.doi.org/10.1145/2899475.2899503info:eu-repo/semantics/conferenceObjecthttp://dx.doi.org/10.1145/2899475.2899503DyslexiaDetectionGamificationLearningSerious gamesWeb-based assessmentinfo:eu-repo/semantics/openAccess