ABSTRACT

Researchers struggle to classify and make inferences about internationalization due to the sheer volume of policy texts and the plethora of policy measures that come under the umbrella concept of internationalization. This state of affairs raises a salient question: How can we systematically study internationalization policies without massive costs in terms of funding and time? This chapter posits that using computer-assisted topic modeling techniques represents an innovative and efficient way to deal with this issue. Using an original database of national policies for the internationalization of higher education, the chapter demonstrates how topics can be automatically retrieved from documents while meeting validity and reliability standards.