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

Abstract

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.