High school students’ proposition network representation and its relationship with thinking level in learning human nervous system using Modeling Based Learning (MbL)

The purposes of this research were to identify the students ability to form a proposition network representation and to analyze the relationship of that thinking level with the students ability to form a representation of proposition network on human nerve system concept. This is a descriptive research with 30 science class students of grade XI from one private school in Bandung as the subject research, who learned human nervous system concept, using modeling based learning (MbL). The data collection was taken by rubric instrument and thinking level test. The result of this research show that the ability of high school students’to develop a representation of proposition network on general is in the fair category. The correlation result shows no significant relationship between thinking level and the students’ ability to form a proposition network on learning of neuron structure and function (r=0,075; p=0,692) with low complexity of content. The significant relationship between thinking level and the ability to form proposition representation is obtained during the study of central nervous and peripheral nervous system (r=0,506; p=0,004) with higher concept complexity. It means the higher students’ thinking level, the better their abilities to form a proposition network.