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학술대회 Design of Interactive Reading Comprehension Competence Assessment System using AI
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유홍연, 전은경, 오승훈, 손동훈, 이세형, 임권섭
International Conference on Information and Communication Technology Convergence (ICTC) 2022, pp.2062-2064
22ZK1100, 호남권 지역산업 기반 ICT 융합기술 고도화 지원사업, 강현서
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.
KSP 제안 키워드
Assessment system, Competence assessment, Interactive interface, Natural Language Processing Module(NLP), Objective reading, Reading comprehension, Speech-To-Text(STT), Text-To-Speech(TTS), Web server, reading ability