الابحاث

​Choosing a university major is an important decision that affects the lives of both individuals and communities. Research has shown that vocational interests are strongly correlated with distinguished students and successful workers. Furthermore, Holland’s theory states that persistence at work is related to congruence between work environment types and individuals’ personality types. Nevertheless, many students choose a university major based on their high school academic grades rather than their work preferences. The aim of this study is to use machine learning to predict engineering fields for undergraduate students in Jordan based on their vocational interests. A dataset with 25 categorical features describing vocational preferences for 734 students from seven engineering majors was collected. Using a balanced bagging classifier, the study obtained a test accuracy of 91.3%, 87.7%, 82.7%, 77.7%, 72.9 …​