Predictors of Academic Success of National and International Students
Findings From a Study at an International Business Programme in Germany
Given the increasing internationalisation of higher education, universities compete more and more not only for national but even more for international students. Selecting the best candidates from the pool of international applicants is a challenge. In our study, we analysed which criteria are best to predict the academic performance of students coming from different countries with different education systems, using different grade point average (GPA) standards. Using an administrative data set from an International Business programme at a German university of applied sciences, we explored the predictive power of adjusted high school GPA, IQ test result, interview score
and first year grades in English, maths, and statistics.
Keywords: international students, diverse student body, predictors, academic performance, student selection