Process Mining on Students' Web Learning Traces: A Case Study with an Ethnographic Analysis

The study of learning processes can benefit from examining the digital traces left by students while browsing educational platforms. In this work, we propose an analysis of how process mining techniques can be combined with online educational technologies. In particular, we describe a process discovery experiment based on students’ movements between the web pages’ paragraphs of a tutorial specifically built for teaching the programming language Python. In addition, we explore the ethnographic and conceptual genealogy of a learning project focused on a programming tutorial. Observations of the digital traces are accompanied by qualitative reflections with three objectives: human-machine interactions in a learning laboratory, the relationship between individuals and the environment, and the relationship between disciplines (alliance between computer science and anthropology) through the concept of consilience