Children Preference Analysis of a Logic Game- “Lily’s Closet”

Abstract

Children autonomously play games. It is what Game-Based Learning is aiming for, that to create a learning process for children to acquire knowledge autonomously. This study is to discover the relations among children’s age, preference, and learning performances in a digital game, Lily’s closet. The researchers applied big data analysis and collect gaming behavior data from 6,924 children whose age range is 3-8 years old. The result shows that: a) Children’s age is related to learning performance. The higher ranking shows higher learning effects. The relevance between ranking and age shows that the older children grow up, the better “logic concept” they can comprehend. b) However, the older they are, the more toys and environment they are approaching. That is why their willingness to repeat the same game is lower after growing up. As a result, we suggest that to assist learning, we should give children a different level of games according to their ages. The research hopes to resonate with readers and jointly explore the relationship between adaptive development and digital games.