Chapter 6: Modeling Problems by Alex Calloway , Ray Bandas & Sabina Maza
Chapter Summary <ul><li>Personal, or internal, representations of problems guide the interpretation of information about a problem, simulate the behavior of the system based on what we know about it, and can help to develop a solution. Quantitative models differ from qualitative ones in that they are strictly numerical, like a formula. This might include a spreadsheet of some kind with test results from many people revealing which of them had cancer and various biological risk factors, or one related to blood analysis such as the example in the book. In contrast, qualitative models involve a value judgement that affects our understanding of a particular problem. An example of a qualitative model would be a graph which asked and posed the difference in these factors based on age or socio-economic status. </li></ul>
<ul><li> Databases can also be used to model problems, such as Jonassen's example in the book of a table combining data about drugs, their replacements, and side effects for nutritionists looking for alternatives to conventional drug therapies. </li></ul><ul><li>Another example might be a table about food and its ingredients for the purpose of making a healthier menu. Concept maps are models that can be used to solve problems in chemistry, or even word problems involving people and their belongings . Spreadsheets can also be used in modeling problems, such as the blood analysis spreadsheet mentioned previously. Another example of this would be the use of a spreadsheet to model the effects of careful diet management upon a patient's diabetes. An expert system based on causal reasoning might inform the public about the likelihood of different weather events, or it might help people pick good diet plans based on the information provided by doctors. </li></ul>
Modeling Tools can be used to model population growth, such as colonies after a hurricane, or citizens in a new country. Visualization tools can be used to graph things such as the descent of a shuttle, or the setting of the sun. Systems modeling tools are especially effective for modeling problems because learners can test their models for accuracy. Jonassen again uses the example of a molar conversion problem in chemistry in the text. An additional example of a systems modeling tool could track the new citizens in a country. Finally, visualization tools are helpful for modeling abstract concepts like mathematic problems. Visualization can be used to plot the descent of a shuttle or the setting of the sun.
<ul><li>The ability to model problems qualitatively as well as quantitatively is crucial to our understanding of concepts as we encounter them in the real world. </li></ul><ul><li>Databases, concept maps, spreadsheets, expert systems, systems modeling tools, and visualization tools are all excellent ways that can be used together or apart to achieve maximum learning potential. </li></ul><ul><li>1) Are there any other examples of different modeling types that you can think of? </li></ul><ul><li>2) Can you think of any other examples of issues that can be analyzed both quantitatively and qualitatively? </li></ul><ul><li>3) Does the presentation of qualitative data allow for more than one interpretation of a modeling problem? </li></ul>