To achieve a good teacher-pupil match, it is necessary (1) to predict the learning outcomes that will result when each student is instructed by each teacher, (2) to use the predicted performance to compute an Optimality Index for each teacher-pupil combination to indicate the quality of each combination toward maximizing learning for all students, and (3) to provide some indication of the extent to which concern about differential Teacher-Pupil Match (TPM) might make any difference. This project was designed to demonstrate the analytical and computational procedures required to produce Teacher-Pupil Match information to assist educational decision-makers in maximizing expected learner performance. This information can be used in conjunction with existing pupil assignment policies. The TPM information can be developed on a small computer system that is usually available in local school districts or regional educational service centers. (BW)