Using a computer-based simulation with an artificial intelligence component and discovery learning to formulate training needs for a new technology
A computer-based simulation with an artificial intelligence component and discovery learning was investigated as a method to formulate training needs for new or unfamiliar technologies. Specifically, the study examined if this simulation method would provide for the recognition of applications and knowledge/skills which would be the basis for establishing training needs. The study also examined the effect of field-dependence/independence on recognition of applications and knowledge/skills. A pretest-posttest control group experimental design involving fifty-eight college students from an industrial technology program was used. The study concluded that the simulation was effective in developing recognition of applications and the knowledge/skills for a new or unfamiliar technology. And, the simulation's effectiveness for providing this recognition was not limited by an individual's field-dependence/independence.
- Research Organization:
- North Carolina State Univ., Raleigh, NC (United States)
- OSTI ID:
- 7230785
- Resource Relation:
- Other Information: Thesis (Ph.D.)
- Country of Publication:
- United States
- Language:
- English
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POLICY AND ECONOMY
99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE
COMPUTER-AIDED INSTRUCTION
ARTIFICIAL INTELLIGENCE
COMPUTERIZED SIMULATION
LEARNING
TECHNOLOGY TRANSFER
EDUCATION
SIMULATION
TRAINING
290500* - Energy Planning & Policy- Research
Development
Demonstration
& Commercialization
990200 - Mathematics & Computers