Glyph Reader App: Multisensory Stimulation Through ICT to Intervene Literacy Disorders in the Classroom

This article shows the experience in the implementation of a tool called Glyph Reader, which is an application that has two interfaces, Web and Mobile and that responds to the need for an educational and interactive resource whose main objective is the Multisensory stimulation for literacy training in a population with cognitive disabilities and/specific learning disorder. The design of the activities that this application has is based on the theoretical model of multisensory stimulation Orton Gillingham, which seeks the development of basic skills for decoding isolated words based on a phonetic - graphic analysis of them. The techniques within this model use the basic concepts of intersensory integration of simultaneous visual-auditory-kinesthetic- tactile differentiation (VAKT), to which the Glyph Reader application takes full advantage, by including graphic phonetic recognition and training activities of syllables/words (exercises with symphons and exercises with combinations of consonants or working syllables), which pass from basic levels to complex levels of decoding, necessary for the development of literacy skills. The study sample for software validation is 250 students from the Eustorgio Salgar educational institution, in the municipality of Puerto Colombia, in the department of Atlantico - Colombia

[1]  James M. Kauffman,et al.  Research to Practice Issues , 1996 .

[2]  Manuel Vilares Ferro,et al.  On the performance of phonetic algorithms in microtext normalization , 2018, Expert Syst. Appl..

[3]  L. Santiago,et al.  Implementation of MOPROSOFT level I and II in software development companies in the colombian caribbean, a commitment to the software product quality region , 2014, 2014 IEEE Central America and Panama Convention (CONCAPAN XXXIV).

[4]  Matej Rojc,et al.  A speech-based distributed architecture platform for an intelligent ambience , 2018, Comput. Electr. Eng..

[5]  Roberto Morales Ortega,et al.  WSIA: Web Ontological Search Engine Based on Smart Agents Applied to Scientific Articles , 2019, ICSI.

[6]  Isabel Echeverri-Ocampo,et al.  Enkephalon - Technological Platform to Support the Diagnosis of Alzheimer's Disease Through the Analysis of Resonance Images Using Data Mining Techniques , 2019, ICSI.

[7]  K. Stanovich.  How to think straight about psychology , 1985 .

[8]  Paola Ariza-Colpas,et al.  Using K-Means Algorithm for Description Analysis of Text in RSS News Format , 2019 .

[9]  Katherinne Salas Navarro,et al.  Parkinson Disease Analysis Using Supervised and Unsupervised Techniques , 2019, ICSI.

[10]  Hervé Bourlard,et al.  Phonetic subspace features for improved query by example spoken term detection , 2018, Speech Commun..

[11]  Ann R. Bradlow,et al.  Training-induced pattern-specific phonetic adjustments by first and second language listeners , 2018, J. Phonetics.

[12]  Claudia Briones,et al.  "Con la tradición de todas las generaciones pasadas gravitando sobre lamente de los vivos": usos del pasado e invención de la tradición , 1994 .

[13]  Jorge A Marquez,et al.  Family caregivers' narratives of mental health treatment usage processes by their Latino adult relatives with serious and persistent mental illness. , 2013, Journal of family psychology : JFP : journal of the Division of Family Psychology of the American Psychological Association.

[14]  Roberto Morales-Ortega,et al.  SSwWS: Structural Model of Information Architecture , 2019, ICSI.

[15]  Prabhat Kumar,et al.  RNN based online handwritten word recognition in Devanagari and Bengali scripts using horizontal zoning , 2019, Pattern Recognit..

[16]  Macarena Espinilla,et al.  Sensor-Based Datasets for Human Activity Recognition – A Systematic Review of Literature , 2018, IEEE Access.