On Teaching Web Stream Processing

Web Stream Processing (WSP) is a field that studies how to identify, access, represent and process flows of data using Web technologies. One of the barriers that currently limits the adoption of WSP is the paradigm shift from Web data at-rest to Web data in-motion. This barrier is especially high when teaching undergraduate students. To quantify the effort required to learn Web Stream Processing, we run an Action Research audit with master students at Politecnico di Milano. In this paper, we present the results of this inquiry, and we discuss the lesson learned.