As the 21st century progresses, learning using the Internet has become essential for study success in higher education (HE). The Internet is the most widely used source of information today, and today’s students are more likely to learn through digital media than through traditional sources, like print textbooks. Students’ skills to competently use digital media are therefore of central importance. To measure these skills, there are many approaches and assessments, for instance, using student self-reports or simulation-based performance assessments. Over the course of increasing digitalization, digital performance assessments for measuring students’ skills are also becoming increasingly popular. They offer many advantages, for example, process data, such as log files and eye-tracking data, can be collected during the completion of a task. The process data collected in digital assessments provides a detailed observation of a participant’s task-solving process and the underlying thinking and learning processes. Based on a recent literature review by Zlatkin-Troitschanskaia et al. (2021), we performed an extended and in-depth structured document analysis of the current national and international research on collecting process data when using performance assessments to measure students’ use of digital media and online information in their academic studies. In this analysis, we particularly focus on the various research approaches to collect and analyze students response process data.