TEACHING A ROBOT THE LEVELS OF WRITING: ARTIFICIAL INTELLIGENCE AS A SUPPORT TO THE LITERACY TEACHER

Abstract

The object of study of this research is the adaptation of computer vision tools by Artificial Intelligence to identify the writing levels of students in the Early Years of elementary school, based on Conceptual Dictations. The objective of the research is to produce an application that helps literacy teachers in identifying the students' writing levels, based on the images of the children's manuscripts, in order to propose personalized activities. The methodology adopted was Design Based Research (DBR), where each stage of prototype development includes suggestions from the users themselves in order to improve the performance of the prototype. Initial findings point to the limitations of computer vision tools and the need for improvements.