Evaluation of a Markov-Decision Model for Instructional Sequence Optimization
Semi-annual technical rept. 1 Jul-31 Dec 1975
UNIVERSITY OF SOUTHERN CALIFORNIA LOS ANGELES BEHAVIORAL TECHNOLOGY LABS
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Two CAI programs in electronics and trigonometry were written to test the Wollmer Markov Model for optimizing hierarchical learning calibration samples totalling 110 students completed these programs. Since the model postulated that transfer effects would be a function of amount of practice, half the students were required to complete one practice problem successfully before moving to the next stage the other half had to do two practice problems successfully. The results are related to the number of subskills involved in the final task that becomes a major determinant of performance time.