Multimedia Enhancing Computer Based Training Modules for The Deaf, Supported by Case Study

  •  Karim Hussein    
  •  Ayman Nsour    


Training aims at supporting student in developing specific physical skills. Therefore developer has to design effective modules for such purpose. He must develop his modules so that to represent/simulate all training activities via  computer screen. According to our experience, such e-training modules are more complex as well as difficult than e-learning modules. Idea of research is to develop e-training modules (eTMs)  for training  skills to the Deaf & Dumb (D&D). Generic software has been  developed to generate eTMs of any required training skills. Multimedia technique represents the core of simulation of training skills. Two projects have been developed, one  for the teacher and the second for the student. The teacher is requested to enter the required training material into the teacher project . Effective pictures of training material would be entered by the teacher as well as the related clips of the training material are also added to the training modules particularly tools of training lesson and methodology of training lesson. Therefore the training material could be represented by text , pictures as well as clips. But all the oral/audio materials are to be translated into languages of D&D like sign language and finger spelling. To realize effective training outcomes effective theories of learning/training must  be depended in developing the e-training modules like perceptions theory (Landa) and sign learning (Tolman). To test the system , the training skills of paint brush software  has been applied in developing the modules as case study. Visual Basic programming and its multimedia  control components and technique are recommended  to develop such eTMs. Thousands of sign language and alphabets  finger spelling  video clips are linked with the system.

This work is licensed under a Creative Commons Attribution 4.0 License.
  • ISSN(Print): 1913-8989
  • ISSN(Online): 1913-8997
  • Started: 2008
  • Frequency: quarterly

Journal Metrics

WJCI (2020): 0.439

Impact Factor 2020 (by WJCI): 0.247

Google Scholar Citations (March 2022): 6907

Google-based Impact Factor (2021): 0.68

h-index (December 2021): 37

i10-index (December 2021): 172

(Click Here to Learn More)