Subject: technology4good; educative framework; text-to-speech; deep learning; natural language processing; assistive technologies
Year: 2022
Type: Proceeding article
Title: Assistive e-Learning Software Modules to Aid Education Process of Students with Visual and Hearing Impairment: A Case Study in North Macedonia
Author: Mishev, Kostadin
Author: Karovska Ristovska, Aleksandra
Author: Rashikj-Canevska, Olivera
Author: Simjanoska, Monika
Abstract: This paper presents a technology4good initiative that integrates multiple breakthrough software modules with the aim to build a generic framework to aid the educational process for students with disabilities, such as, hearing and vision impairments, as well as various types of dyslexia. The purpose of the study is to apply various distinct researches among which the highlight is on the text-to-speech engine for the first time developed to support Macedonian language. Additionally, the framework integrates Macedonian sign language to guide the hearing impaired students through the contents of the educational framework. Also, there is a specially developed font (typeface) and color environment for students with specific reading difficulties (dyslexia). The methods that support the educational framework are developed by mix of social, special education and computer science experts. The methodology for developing the text-to-speech engine relies on the newest and most efficient principles in Machine Learning for Natural Language Processing - a Deep Learning approach. The framework has been tested on target group of students and the satisfaction has been measured by using the standard Likert scale.
Publisher: Springer, Cham
Relation: International Conference on ICT Innovations
Identifier: oai:repository.ukim.mk:20.500.12188/17695
Identifier: http://hdl.handle.net/20.500.12188/17695
