This paper proposes the application of Artificial Intelligence (AI) techniques to assist teachers during the implementation of study and research paths (SRPs). The use of AI allows the analysis of derived questions in a class to create a report that summarises the class activity. This report organises the multiple and varied questions that might have emerged into automatically discovered topics using an unsupervised machine learning approach. Natural language processing (NLP) is applied to students’ questions in order to semantically group them into meaningful topics. The proposed AI method is seemingly integrated into a Web platform designed to accompany and digitalise the entire SRP implementation process. The ultimate goal of the proposed AI support is to alleviate the workload of teachers from one class to the next, allowing them to focus on the design of the important aspects of the following class.