This study used a discriminant analysis procedure to identify the
demographic variables (school, teacher, grade level, subject, test used
for evaluation, semester of treatment, and gender) or subsets of variables
that would predict elementary students' success with computer assisted
instruction (CAl). Also, multiple factorial analyses of variance were
performed to test the interaction effect between treatment (CAl) and the
demographic variables. Recommendations suggest that future research attempt to identify
the appropriate teacher training in the use of computers for instruction that
will produce recurring student achievement with CAl. It is also suggested
that future research examining the academic effects of CAl in the
elementary classroom (grade 2 through 5) should not be concerned with
the grade level of the student, the subject being studied (mathematics or
language arts), the test used for evaluation (local or standardized), or the
gender of the student.