A Learning Analytics Approach to Investigating the Impacts of Educational Gaming Behavioral Patterns on Students' Learning Achievements

In this study, students behavioral patterns in an educational game were investigated by conducting a digital game-based learning activity in an elementary school science course. Moreover, the behavioral patterns of the highachievement and low-achievement students were compared to explore the possible educational gaming behavioral patterns affecting the students learning achievements. It was found that the high-achievement students showed more deep thinking and reflective behavioral patterns than the low-achievement ones, implying the necessity of incorporating learning strategies to guide students to have deep thinking and reflective behaviors during the digital game-based learning process. The finding of this study provides a good reference for researchers and school teachers who intend to employ the digital game-based learning approach.