Digital Technologies and Artificial Intelligence in The Multimodal Design of Sign Language Education

In recent decades, technological advances have inspired tangible changes in the development of applications and algorithms in response to the communicative needs of D/deaf people, the removal of social and communicative barriers with hearing people, and the blurring of linguistic boundaries between the two populations. The ubiquitous presence of multi-modal forms of cognitive, communicative, and information input in the digital space render these types of resources crucial to education. The article focuses on the meta-analysis of a large pool of publications to the effect of proposing a systematic, empirically based operationalization of sign language, its teaching, and its study by D/deaf and hearing children, pupils, and students in a multimodal educational environment, designed and shaped through the implementation of digital infrastructure, of which digital technologies and artificial intelligence are an integral part. The collected and systematically analyzed data reveal the attributes of a wide range of innovations for operating with the unique code of natural human language, which is realized through the precise combination of visual, kinetic, and spatial modalities.