Construction of an English Grammar Quiz Recommendation System Using Explanation by a Knowledge Map

Abstract

Many systems to assist in learning English grammar have been developed in the field of learning material recommendation systems (LMRSs). Compared with those based on knowledge models, recommendations based on data tend to cause the cold-start problem, and it is said that explainable LMRSs may be able to enhance learners’ motivation. In our research, we propose an explainable English grammar quiz recommendation system using a knowledge map to support students’ learning of English grammar with trust in the system and motivation. The learning effect of the explanation of the system was evaluated in an experiment, in which 349 high school students in Japan participated. This experiment showed that there was little learning effect of the explanation, but the system reliability and motivation improved by the explanation. The limitation and our future work regarding the validity and learning effects of the system are also indicated.