Stochastic decision model for arithmetic programming.
Stochastic decision model for arithmetic programming.
Few if any validated guidelines exist for making decisions about the design, media, or format of new instructional products. This study examined strings of programmed learning responses to create general guidelines for making such decisions. Using a Markov model, tables were developed relating the expected proportion of students to be in a solution state at a given accuracy level and at a given level of confidence with respect to the length of response strings.
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http://archive.org/details/stochasticdecisi1094517954
Flight Lieutenant, Pakistan Air Force Flight
probabilistic decision model, branching criteria, model for arithmetic programming, Markovian decision model, all-or-none learning theory, arithmetic learning, advancement criteria, programmed learning, stochastic model
probabilistic decision model, branching criteria, model for arithmetic programming, Markovian decision model, all-or-none learning theory, arithmetic learning, advancement criteria, programmed learning, stochastic model
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