Learning By Modeling (LbM) -The Contribution of Computer Modeling to Students Evolving Understanding of Complexity
The ideas of complexity are increasingly becoming an integral part in understanding natural and social sciences. Previous research indicates that involvement with modeling scientific phenomena and complex systems can play a powerful role in science learning. Some researchers argue with this view indicating that models and modeling do not contribute to understanding complexity concepts, since these increase the cognitive load on students. This study will investigate the effect of different modes of involvement in exploring scientific phenomena using computer modeling tools, on students understanding of complexity concepts. Quantitative and qualitative methods are used to report about 121 freshmen students that engaged in participatory simulations about complex phenomena, showing emergent, self organized and decentralized patterns. Results show that Learning-by-Modeling (LbM) plays a major role in students concept formation about complexity concepts.
Learning by modeling Complex systems Complexity concepts Mental models
Kamel Hashem David Mioduser
Department of Learning Sciences and Computer Science Said Khoury Information Technology Center of Ex Department of Education in Math Science and Technology Tel-Aviv University, School of Education
国际会议
上海
英文
215-218
2010-06-22（万方平台首次上网日期，不代表论文的发表时间）