DocumentCode
2012667
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
fYear
2005
fDate
5-8 July 2005
Firstpage
890
Lastpage
894
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Learning Technologies, 2005. ICALT 2005. Fifth IEEE International Conference on
Print_ISBN
0-7695-2338-2
Type
conf
DOI
10.1109/ICALT.2005.298
Filename
1508848
Link To Document