title: [Information technology in learning sign language].
abstract: OBJECTIVE
  To develop a technological tool that improves the initial learning of sign language in hearing impaired children.
  
  
  METHODS
  The development of this research was conducted in three phases: the lifting of requirements, design and development of the proposed device, and validation and evaluation device. Through the use of information technology and with the advice of special education professionals, we were able to develop an electronic device that facilitates the learning of sign language in deaf children. This is formed mainly by a graphic touch screen, a voice synthesizer, and a voice recognition system. Validation was performed with the deaf children in the Filadelfia School of the city of Bogotá.
  
  
  RESULTS
  A learning methodology was established that improves learning times through a small, portable, lightweight, and educational technological prototype.
  
  
  CONCLUSIONS
  Tests showed the effectiveness of this prototype, achieving a 32 % reduction in the initial learning time for sign language in deaf children.
authors.affiliation: Universidad Distrital Francisco José de Caldas, Bogotá, Colombia, cahernandezs@udistrital.edu.co.
authors.forename: Cesar
authors.initials: C
authors.lastname: Hernández
authors.affiliation: Universidad Distrital Francisco José de Caldas, Bogotá, Colombia, cahernandezs@udistrital.edu.co.
authors.forename: Jose L
authors.initials: JL
authors.lastname: Pulido
authors.affiliation: Universidad Distrital Francisco José de Caldas, Bogotá, Colombia, cahernandezs@udistrital.edu.co.
authors.forename: Jorge E
authors.initials: JE
authors.lastname: Arias
mesh_terms: D002648:Child; D003143:Communication Devices for People with Disabilities; D003194:Computer-Assisted Instruction / Q000379:methods*; D003638:Deafness / Q000523:psychology*; D060345:Education of Persons with Hearing Disabilities / Q000379:methods*; D006801:Humans; D007804:Language Development; D007858:Learning; D012813:Sign Language; D049250:Speech Recognition Software