Abstract:

The need to attract students to technical degrees requires new approaches that are more practical and closer to students, while allowing them to make themselves known in the industrial environment where they will most likely develop their professional career.

One of the topics of interest these days is Machine Learning (ML) and Artificial Intelligence. Studies are usually carried out with static databases that, although they are valid for exposing the different topics, don’t provide added value to students or at least that is how they perceive it.

In this paper, a new learning method will be proposed, based on real processes in the industry that surrounds us, trying to present an example process, its current situation and the application of ML as a proposal for improvement. Specifically, an example of a sustainable industry such as the paper industry will be presented, choosing a basic process such as the preparation of paper pulp from local wood. An energetically intensive process with high chemical needs that make it especially interesting to be optimized.

The learning model, objectives and lessons learned during the process will be exposed, as well as the competences acquired by the students.

Keywords:

Education, renewable, real process, machine learning, project learning.