부산대학교 도서관

In recent years, ICT education has been introduced to the educational field, and research and development of educational support robots have been attracting attention. There are teacher-type robots that instruct the learner about the contents of learning, just like a teacher. Conventional teacher-type robots provide learning support by pressing a button, but this method has been reported to cause excessive demand for support from the learner. To solve this problem, we proposed a method to estimate the learner’s state of perplexion based on the learner’s facial expressions through deep learning. Furthermore, we constructed an apprenticeship promotion model by combining a behavioral model that provides learning support based on cognitive apprenticeship theory and the perplexion estimation method. The experiments confirmed that the robot equipped with the apprenticeship promotion model provides the same level of learning effect to university students as a conventional robot. In this paper, we design the room which our robot learn with a junior high school and investigated whether junior high school students use the robot for learning.