Title: Using agents and simulation to develop adequate thinking styles
Authors: Wang, DY
Wu, ZH
Sun, CT
Lin, SSJ
資訊工程學系
Department of Computer Science
Issue Date: 2005
Abstract: Reinforcement learning theory encourages the use of agents for stimulating and assisting learners in their efforts to develop thinking styles. In this study the authors looked at a similar scenario of human-environmental interaction using Internet-mediated simulations as learning environments. One hundred and forty-nine vocational high schools students participated in this study to see if they can develop adequate thinking style when they learned in a simulation environment with help from agents. The results show that the judicial thinking style was best suited to the system we designed for this project-that is, we observed the greatest amount of development for this particular thinking style. Our results indicate that it is possible to establish and support thinking styles via Internet-mediated simulations.
URI: http://hdl.handle.net/11536/17845
ISBN: 0-7695-2338-2
Journal: 5th IEEE International Conference on Advanced Learning Technologies, Proceedings
Begin Page: 890
End Page: 894
Appears in Collections:Conferences Paper