Modelling and exploiting taxonomic knowledge for developing mobile learning systems to enhance children’s structural and functional categorization

The recent decade has seen increased attention focused on understanding category formation–a cognition ability of preschool aged children. Children organize their knowledge about real-world objects by categorizing them under some common properties or functions. In this study, an approach that models structural and functional categorization knowledge for developing mobile learning systems with dynamic categorization exemplars is proposed. A mobile application was implemented based on the proposed model for pre-schoolers (aged 3-6 years). Moreover, the quasi-experimental pre-test and post-test method was used to evaluate the effectiveness of the proposed knowledge-based application in terms of categorization ability learning. The results show that the children who experienced dynamically created categorization exemplars from the modelled knowledge achieved increased scores compared to those who followed the traditional teaching using books and worksheets.