Development of interactive tutoring system with question answering function based on knowledge graph

Abstract

Interactive tutoring systems is expected to contribute self-learning in various type of topics, such as machine learning. In this study, we develop an interactive tutoring system that performs tutoring in a three-party dialogue form using multiple virtual agents. It would reduce the psychological burden of the learner compared with one-to-one tense dialogue. To adapt this system to various levels of users, question-answering functionality is essential. The proposed system generates an answer to the question using a knowledge graph automatically constructed from the textbook.