Predicting Creative Problem-Solving in Math From a Dynamic System Model of Creative Problem Solving Ability

Abstract

Six attributes of creative problem-solving ability were investigated as predictors of creative problem solving ability in math. A total of 409 Taiwanese fifth and sixth graders were administered the recently developed Creative Problem Solving Attributes Inventory and other corresponding established instruments that measure similar attributes. The Creative Problem Solving Attributes Inventory yielded valid and reliable data on creative problem solving attributes. Results also demonstrated that divergent thinking and domain specific knowledge and skills directly predicted math problem-solving ability, whereas divergent thinking, convergent thinking, motivation, general knowledge and skills, and environment indirectly predicted math problem solving ability. Implications for nurturing creative problem solving ability and limitations of the study are discussed.