The primary purpose of this project was to develop a system for the evaluation of student teachers employing automated data processing as an integral part of the system. This system employed data gathered from four sources: (1) Public School Pupils, Grades 7-12; (2) Student Teachers; (3) Supervising Teachers; (4) College Supervisors. The emphasis was placed on the first source, the data obtained from the pupils of the student teachers. This source constituted a large volume of evaluation information that had to be processed through the use of automated procedures. Results of the project compared the several sources of data, and indicated the relative effectiveness of each. The feedback provided from the evaluation information was used to identify strengths and weaknesses of individual student teachers, and cumulatively to evaluate the total student teacher program. Finally, by subdividing the data into categories relating to pupil characteristics, information was obtained about the effectiveness of student teachers in working with black, white, male and female students. As a result of this project, an automated system for gathering and analyzing a large amount of data is available to evaluate the effectiveness of student teaching. (Author)