How Cognitive Style and Problem Complexity Affect Preservice Agricultural Education Teachers’ Abilities to Solve Problems in Agricultural Mechanics

Abstract

The purpose of this experimental study was to determine the effects of cognitive style and problem complexity on Oklahoma State University preservice agriculture teachers’ (N = 56) ability to solve problems in small gasoline engines. Time to solution was operationalized as problem solving ability. Kirton’s Adaption-Innovation Inventory was administered to determine cognitive style as more adaptive or more innovative. Preservice teachers were assigned randomly, by cognitive style, to solve either a simple or complex problem in a small gasoline engine. The simple problem was related to the electrical system of the engine – specifically, a closed spark plug gap. The complex problem was related to the fuel/air delivery system; specifically, debris was placed into the main jet of the carburetor. To determine content knowledge, students were administered a 30-item, researcher developed criterion-referenced test. The findings of this study indicated that no statistically significant differences existed in content knowledge based on cognitive style. All students were able to solve their problem successfully; however, regarding time to solution, a statistically significant interaction effect existed between cognitive style and problem complexity. A simple main effects test revealed a statistically significant difference between the more innovative students based on problem complexity.