Anthropologist and author Margaret Mead had a lifetime goal to learn about human nature. Her research answered basic questions about human personality. Her plan of action included college study, specialized training, and actually living with primitive societies to observe and study them.
It was due to careful planning that Gregor Mendel was successful in his experiments with pea plants which provided new insight into the laws of heredity. His goal was to find out how characteristics of parents are passed on to offspring. An experienced problem solver soon learns that you should break any complex problem down, separate, and solve the sub-problems and the sub-sub-problems before attacking the main problem. |
Stage #3 : in solving a problem
In considering goals, think about:
Always Think & Plan Ahead.
A few other things to consider in your planning:
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Problem-based Learning -
Great Goal, But Poor Planning
There is a growing movement to tech law, medicine, engineering, business and other subjects by Problem-based Learning. In many instances those sponsoring this type of learning fail to: Include any formula for the stages and ingreidients of the scientific method, which is the master method of problem solving. Or use inadequate formulas - such as offering one that is too short. This situation is an example of the excellent goal of teaching problem solving, but poor planning and analysis of what is needed to accomplish the goal.
If you do not teach any formula when using problem-based learning programs, you fail to a great extent getting transfer of learning. Centuries of us of the scientific method have shown there are basic stages to reliable problem solving. SM-14 is a well-researched formula. After reviewing hundreds of other formulas, I have found SM-14 to be the best suited for problem solving.
SM-14 becomes a strategy that guides you in solving complex, ill-structured, real-world problems. It has evolved over the centuries since Galileo's time. another basic principle is that one learns to become an expert by solving a large number of problems, following a formula such as SM-14.
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