TY - JOUR
T1 - Modelling and exploiting taxonomic knowledge for developing mobile learning systems to enhance children's structural and functional categorization
AU - Abbas, Muhammad Azeem
AU - Hwang, Gwo Jen
AU - Ajayi, Saheed
AU - Mustafa, Ghulam
AU - Bilal, Muhammad
PY - 2021/1/13
Y1 - 2021/1/13
N2 - 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. The advancement and popularity of mobile devices with touch screens provide a good opportunity for young children to learn and practice. 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.
AB - 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. The advancement and popularity of mobile devices with touch screens provide a good opportunity for young children to learn and practice. 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.
KW - Mobile learning
KW - Ontology
KW - Pre-school education
KW - Structural and functional categorization
KW - Taxonomic knowledge
UR - http://www.scopus.com/inward/record.url?scp=85106654855&partnerID=8YFLogxK
UR - https://www.sciencedirect.com/science/article/pii/S2666920X21000011?via%3Dihub
U2 - 10.1016/j.caeai.2021.100007
DO - 10.1016/j.caeai.2021.100007
M3 - Article
AN - SCOPUS:85106654855
VL - 2
JO - Computers and Education: Artificial Intelligence
JF - Computers and Education: Artificial Intelligence
M1 - 100007
ER -