A Recommender System of Postgraduate Courses Based on Soft Skills: A Psychometric-inspired Approach

dc.contributor.author	Ullauri, Luis Alberto Pinos
dc.contributor.author	Lebis, Alexis
dc.contributor.author	Karami, Abir
dc.contributor.author	Vermeulen, Mathieu
dc.contributor.author	Fleury, Anthony
dc.contributor.author	van den Noortgate, Wim
dc.date.accessioned	2025-02-28T19:14:53Z
dc.date.available	2025-02-28T19:14:53Z
dc.date.issued	2025-FEB 20
dc.description.wosFundingText	This work was funded by i-SITE ULNE (42 Rue Paul Duez, 59800 Lille, France) under the project SUCCESS and grant F-FIDELO-19-008-FLEURY. The SUCCESS project aims on supporting the assessment of soft skill proficiency on postgraduate students, and provide personalised recommendations of courses based on their soft skills.
dc.identifier.doi	10.1007/s40593-025-00463-z
dc.identifier.issn	1560-4292
dc.identifier.uri	https://imec-publications.be/handle/20.500.12860/45268
dc.publisher	SPRINGER
dc.source.journal	INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE IN EDUCATION
dc.source.numberofpages	37
dc.subject.keywords	PERFORMANCE
dc.title	A Recommender System of Postgraduate Courses Based on Soft Skills: A Psychometric-inspired Approach
dc.type	Journal article
dspace.entity.type	Publication
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