eSTEM project addresses four different active-learning methodologies:
- Inquiry-based learning
- Problem-based learning
- Scenario-based learning
- Dataset-based learning
All four methodologies aim to involve the students in the educational process, but with four different approaches.
Inquiry-based learning (IBL) is the learning in which both lecturers’ and students’ questions are used to suggesting areas for investigation, then leaving the students free to discuss and answer themselves how to manage the work.
In Scenario-based learning (SBL), the scenario establishes an environment in which there are several tasks to be completed and opportunities for learning presented.
Problem-based learning (PBL) is the learning that results from the process of working toward the understanding or resolution of a problem that is encountered first in the learning process.
In Dataset-based learning (DBL) students learn about a subject through the experience of working directly with datasets taken from real situations.
The eSTEM partnership develops four holistic toolboxes, one for each methodology, to support EU lecturers working in STEM fields in increasing their digital and pedagogical skills, consisting of:
- A SuperFast Learning Machine, an IT tool adopting NLP methodologies and data-mining techniques hosted on the project website allows to gather data and extract information using different document sources selected by the educators
- The theoretical background of the methodology in two versions: a) methodology in a nut-shell and b) full scientific paper
- The practical pedagogical guidelines, a step-by-step guide to explain to the educators how to design, develop and deliver an action-based learning lesson complying with specific pedagogical requirements
- Some examples of already tested lectures
- A self-paced e-learning course to teach the educators to use all the tools
Start playing with our toolboxes, you can find them at http://www.superfastlearning.eu/results/results-overview/!