Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/207699
Authors: 
Bonazzi, Riccardo
Perruchoud, Antoine
Year of Publication: 
2019
Citation: 
[Title:] Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference, Rovinj, Croatia, 12-14 September 2019 [ISSN:] 2706-4735 [Volume:] 5 [Pages:] 384-391
Abstract: 
In this paper, we present a software to support educators by 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 lays in the intersection between the body of knowledge concerning experiential learning and statistical learning theory. We support our claims by illustrating results coming from 15 students of a Team Academy course and 100 students of a university course.
Subjects: 
apprenticeship
experiential learning
design science
team academy
JEL: 
I23
Document Type: 
Conference Paper

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