Title :
Using agents and simulation to develop adequate thinking styles
Author :
Wang, Dai-Yi ; Wu, Zong-Han ; Sun, Chuen-Tsai ; Lin, Sunny S J
Author_Institution :
Dept. of Comput. & Inf. Sci., Nat. Chiao Tung Univ., HsinChu, Taiwan
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.
Keywords :
Internet; computer aided instruction; learning (artificial intelligence); multi-agent systems; software agents; vocational training; Internet-mediated simulations; human-environmental interaction; judicial thinking style; learning assistance; learning environments; reinforcement learning theory; simulation environment; software agents; vocational high schools students; Artificial intelligence; Computational modeling; Computer science education; Educational institutions; Educational technology; Information science; Internet; Learning; Sun; Teamwork;
Conference_Titel :
Advanced Learning Technologies, 2005. ICALT 2005. Fifth IEEE International Conference on
Print_ISBN :
0-7695-2338-2
DOI :
10.1109/ICALT.2005.298