Problem-based learning

eLearning course

Attend our eLearning course for understanding how to practically adopt the Problem-based learning methodology.

SuperFast Learning Machine

Adopt our SuperFast Learning Machine for extracting the questions and associated answers related to your topic or subject from different kinds of documents (scientific papers, old quizzes, presentations, MOOCs, books, grey literature, etc.) and use its output as the starting point for building your problem-based training material.

Download here the Guide for using the SuperFast Learning Machine.

Watch here the Video Guide for using the SuperFast Learning Machine.

Theoretical background

Download the theoretical background of problem-based learning methodology in a short version if you need just an overview or in a long version if you need a detailed description.

Pedagogical guidelines 

Download our pedagogical guidelines in the form of practical suggestions, instructions and tips about how to put into practice problem-based methodology, starting from the results of the SuperFast Learning Machine.

Example presentations

Download some example presentations you can adopt as reference for developing your own.

* Please take into consideration that the SFL machine-related parts of these presentations were created based on the first version of the SFL machine (before its fine-tuning)

Hands-on webinar

Find the recording of the hands-on English-language webinar on practical adoption of the methodology here.

Boite à outils en français

Découvrez ici le Guide d’utilisation de la SuperFast Learning Machine.

Principes théoriques 

Découvrez les fondements théoriques de la méthodologie de l’apprentissage par problème.

Guide pédagogique

Téléchargez nos lignes directrices pédagogiques sous forme de suggestions pratiques, d’instructions et de conseils sur la manière de mettre en œuvre la méthodologie d’Apprentissage Par Problèmes, en utilisant les résultats de la SuperFast Learning Machine.

Les coauteurs de cet ouvrage collectif sur l’Apprentissage Par Problèmes, présentés par ordre alphabétique, sont: Fouzia Achchaq, Catherine Bennetau, Kim Bellec, Jean-Francois Bonnet, Cécile Cabasson, Ulysse Delabre, Benoit Deltheil, Isabelle Dufour, Adrien Gintrand, Philippe Goyer, Sophie Javerzat, Stephanie Martins, Blandine Masselin, Anissa Meziane, Xavier Nogues, Marie Seye, Thomas Tang, Robin Kromer, Laurent Denis.


eSTEM, toolboxes for SuperFast learning digital contents development in STEM

ERASMUS+ KA226, Partnerships for Digital Education Readiness. Project number: 2020-1-IT02-KA226-HE-095144, duration: 2 years. Lead by University of Pisa

eSTEM, toolboxes for SuperFast learning digital contents development in STEM

The European Commission support for the production of this publication does not constitute endorsement of the contents, which reflects the views only of the authors, and the Commission cannot be held responsible for any use which may be made of the information contained therein.