Relationship of the Predictive Value of Admission Criteria to Academic Excellence: College of Architecture and Planning, King Saud University-Case Study

Preliminary assessments and aptitude tests are used to measure applicants' abilities and skills, but there is controversy over their ability to predict academic excellence in architecture. The paper aims to compare the predictive value of admission criteria for students in the College of Architecture and Planning at King Saud University, including models for testing the capabilities of the college and its relationship to academic excellence through the cumulative grade point average (GPA). Statistical analysis was done on the quantitative variables of the data of 536 students over 5 consecutive years to extract relevant statistical measures such as measures of central tendency and dispersion, Pearson's coefficient of correlation, and simple linear regression. The study concluded that the relationship between the academic excellence of students, represented by the (GPA), and the other standard variables are a direct relationship, although it varies in strength. This result indicates the necessity of reviewing the college aptitude test and linking it to the educational objectives of the academic courses in the college. It is hoped that the results of this study will contribute to supporting the theoretical basis for research into the predictive value of admission criteria of architectural students and their contribution to academic success.