Simulation-based education for statistical models
Takahashi Takenori, Visiting Professor, Keio University
Simulated experience education is an education that efficiently and effectively learns the essential contents of real experience through simulated practice. Simulated practice is an abstraction of the essence of real practice, and is fundamentally different from suspected practice, which is superficially similar. The difference between the two is clearly shown in the results of the final feasibility check (checking whether what was designed and planned can be realized), and it is difficult for the latter to succeed in this.
Simulation education requires clear educational objectives and rational teaching materials and curricula that extract the essence of real practical skills and disregard peripheral matters. In other words, simulation education should make the essence easy to understand, short, simple, inexpensive, and safe, and allow students to understand the essence through experience. There are two types of teaching materials used in simulation education: actual simulation practical skills (production and/or manipulation of actual objects) and virtual simulation practical skills (production and/or manipulation of virtual objects). This study examines both, clarifies their essential characteristics, and discusses the requirements for learning statistical models through experience using theory and examples.
We will introduce a concrete example of error management and systematic operation for carrying out the above-mentioned simulation education with statistical models, and support for data processing using JMP.
