The purpose of mathematical models in any discipline is to describe accurately the relationships among significant variables of a system. The use of mathematical models is widespread in the sciences, but has rarely found its way into educational research. In developing a mathematical model for mastery learning, empirical research has shown that prior learning, motivation, and time on task are part of the significant variables that work together in some way in a determination of student achievement. A mathematical model that shows the relationship among these variables has been developed. To test the appropriateness of this mathematical model, carefully designed and controlled experiments must be conducted to collect numerical data on the significant variables. Using the model, the accuracy of its predictions can be compared with actual results. This is the technique used in testing mathematical models in the sciences and should be applicable to mathematical models of learning.
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Johnston et al. (1985) studied this question.
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