Design of Interactive Reading Comprehension Competence Assessment System using AI

This paper describes the design of an interactive reading ability assessment system using AI. The proposed system consists of a natural language processing module, a reading comprehension competence assessment module, and a visualization module, and is serviced through a web server and a client. The natural language processing module provides an interactive interface between the user and the assessment system through speech-to-text (STT) and text-to-speech (TTS) functions. The reading comprehension competence assessment module evaluates the data responded by the user by measuring the similarity in units of sentences and words, and displays the final assessment result through the diagram of the visualization module. The purpose of the system proposed in this paper is to improve the reading comprehension competence of Korean students by assessing the objective reading competence.