Abstract
Computer science and artificial intelligence have become an important sector of the world's economy and society. It is essential to determine what factors cause students to study and pursue a career in computer science-related fields to stimulate employment in the industry. In the past, researchers attempted to analyze the effect of different factors on students intention to study computer science using traditional statistical inference methods. This research, however, used a new way to assess the effects: the random forest model. This study collected two hundred ten responses from a survey posted on online forums. Using the random forest model, the study determined that career satisfaction and personality have the strongest influence on students intention to study computer science, and family background is less influential. Factors of the three listed categories averaged to have feature importance of 0.1551, 0.1528, and 0.1147 respectively. These results disagreed with prior studies and shed light on further exploration of this topic.
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