Description of School Currency System

How do students prepare for the real world? Students have been studying through school for many years, and they study reading, mathematics, science, etc. However, there is no financial class to teach students fundamentals of finance. Now you may think that the students will not attend class. That's why we can introduce the school currency system. Because many people are opposed to it as the system may be defective, the currency system is useful in many ways. It is all the reason to introduce the currency system at school to help students grow grades, improve daily attendance, teach important life skills, and improve the level of responsibility.

John Taylor Gut's "School Opposition" depicts a very pathological depiction of the American school system. Gatto's explanation about the school system sounds more like an explanation of a prison or sweet shop than a school. He insists that the school is not a place for children to learn, grow and prosper. Instead, he thinks schools are aiming to repress children; they lose their human nature, limit their growth and become adults. Some of Gato's criticisms are fair. He thinks boring one of the main problems of the school system, whether it is a student or a teacher. According to his personal experience, he did not want to go there, not to mention the teaching materials they taught, and this unfunny thing also flowed to the students. Gut believes that I believe that this phenomenon is closer to robotics and inhumanization than student learning and growth.

Each CBR system is based on a collection of past problems (cases in the case library), each with its own problem description and solution component, and based on the explanation of the problem to solve the new problem Identify and adjust the most similar case. Their solution adapts to the situation of the new problem. Case based inference has several good properties. It is intuitive and its solution can be explained directly to the end user by referring to similar cases adjusted. It is computationally simple and relatively easy to execute with code. One of the most important benefits of CBR is that its decision is dependent on case-based examples, not well-designed manual coding rules common in more traditional knowledge-based AI systems is. . This also means that the CBR system can easily solve new problems just by adding cases to the case library.