Software in the sign language teaching and learning process: A systematic and bibliometric review
DOI:
https://doi.org/10.5281/zenodo.18014342Keywords:
learning, teaching, softwareAbstract
The objective of this systematic and bibliometric review was to analyze the impact of software on the teaching and learning process of sign language. To this end, publications from 2010 to 2023 were reviewed using the PRISMA method and a structured search in Scopus and Web of Science. Of the 628 studies identified, 16 met the inclusion criteria. The selected articles evaluated diverse technological tools, such as convolutional neural networks, augmented reality, animated avatars, speech recognition, and computer vision systems. The results reveal that these technologies foster more accessible and efficient learning, especially for people with hearing impairments and hearing learners. Furthermore, the greatest scientific output was concentrated in countries such as India, Saudi Arabia, and Egypt. In conclusion, the findings highlight the potential of these tools to enhance communication and promote educational inclusion.
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