Abstract
AbstractSystems of computer-managed instruction have been developed to assist teachers in the individualization of instruction. Some individualized educational programs utilize small, medium, and large group settings for instruction, and students are regrouped frequently best to meet individual student needs. In this paper, numerical procedures for grouping students for instruction are developed and evaluated. Clustering techniques are used to form homogeneous groups, subject to constraints on group size, number of groups to be formed, and student eligibility. Alternative clustering algorithms are examined, and computer-generated groups are evaluated in comparison to teacher-generated groups.
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