The ProKID-F project aims to use empirically proven findings on early diagnosis and promotion of literacy skills in relation to reading to create the basis for the first AI-supported diagnosis, prevention, and intervention for reading and spelling difficulties in daycare centers that is integrated into everyday life.

The intertwined language diagnosis and support is to be developed as a tablet app in a co-constructive manner in an interdisciplinary network of computer science, computational linguistics, psychology, language education and therapy, and participation science based on the international state of research, and its prognostic validity and effectiveness are to be tested using quality-assuring methods of empirical educational research. Group testing with up to 10 children and a fully automated evaluation made possible for the first time by automatic speech recognition (ASR) will ensure ecological and economic practicality, significantly reducing the workload of educational professionals. Thanks to ASR, support in the elementary sector will benefit from automatic evaluation of speech production for the first time. The project can draw substantially on empirically proven and tablet-based diagnostic and support measures for primary and preschool education. In an iterative development process, the ongoing, active participation of a consortium comprising practitioners, education administrators, and authorities will ensure that the measures are not only valid and effective, but also practical and helpful in everyday life.