Learner Characteristics in a Chinese Mathematical Intelligent Tutoring System

The present study aims to explore the effectiveness and learner characteristics of Chinese Mathematical intelligent tutoring system in multiple mathematics subjects. Data were collected from primary school, secondary school, and college. The students’ interactions were recorded in database as log files. The data were coded to fit the format of Datashop, which is a data repository and web application for researchers analyzing learning sequence of data. A learning curve visualizes changes in student learning state over interactions on different mathematics subjects. The results of learning characteristics of students were discussed. Furthermore, the study compared students’ learning patterns in three different score groups (high, medium, and low). The results found that students with lower pre-test score received more prompting in their interaction comparing students with higher pre-test score. More learning patterns were discussed.