Using agents and simulation to develop adequate thinking styles
- Resource Type
- Conference
- Authors
- Dai-Yi Wang; Zong-Han Wu; Chuen-Tsai Sun; Lin, S.S.J.
- Source
- Fifth IEEE International Conference on Advanced Learning Technologies (ICALT'05) Advanced learning technologies Advanced Learning Technologies, 2005. ICALT 2005. Fifth IEEE International Conference on. :890-894 2005
- Subject
- Computing and Processing
General Topics for Engineers
Educational institutions
Learning
Internet
Artificial intelligence
Teamwork
Computational modeling
Sun
Information science
Computer science education
Educational technology
- Language
- ISSN
- 2161-3761
2161-377X
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.