Résumé
In this paper, we present a software to support educators collecting and processing
data in each step of the experimental learning cycle for cognitive apprenticeship.
We do so by developing a system that allows educators to (1) define a set of
competences, (2) link keywords to each competences, (3) analyse reflexive papers
written by students as evidences of their acquired competences after practical
projects and (4) analyse multiple documents to assign students to different clusters to
better coach them.
The theoretical ground for our artefact can be found in the body of knowledge
concerning pedagogy to define a process that would allow combining different
teaching approaches and statistical learning to define the software approach to use
to gather data and predict future outcomes.
We support our claims by illustrating results coming from 15 students of a Team
Academy course and 100 students of a university course.