Abstract
AbstractA neuromathematical model of information processing applied to science learning is exanded to include coefficients representing the motivational state of the learner. Two coefficients be included: (1) an exponential coefficient in the gain function representing largely a change rate of learning associated with varying motivation, and (2) an initial factor in the gain quation change in motivation at the outset of a learning task. The inclusion of these variables permits modeling of the effects of variations in motivation on the rate and amount of information in a larning task.
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