BIM4VET, Towards BIM Training Recommendation for AEC Professionals

Annie Guerriero (1) , Sylvain Kubicki (1) , V. Maquil (1) , N. Mack (1) , Yacine Rezgui (2) , H. Li (2) , S. Lamb (2) , A. Bradley (2) , Jean-Philippe Poli (3)

1 LIST - Luxembourg Institute of Science and Technology
2 Cardiff University
3 LI3A (CEA, LIST) - Intelligence Artificielle et Apprentissage Automatique (CEA, LIST)

The rapid development and use of BIM in the Architecture, Engineering, Construction and Facility Management (AEC/FM) industry requires an adequate understanding of the roles and competencies that professionals should develop and maintain. Besides, as the specific processes associated with BIM remain closely linked to the nature of the activities and teams involved in each project, one can consider that the definition of roles and competencies requires a project-level discussion and alignment. This article presents the main results achieved through the BIM4VET research project. It focuses first on the matrix of responsibilities defined for BIM profiles, and presents the global approach for assessing competency maturity and further recommends training courses, thanks to a benchmark carried out by the project partners. Second, the paper describes the BIM4VET toolset developed, and its associated repository of training modules, the management of users and their maturity assessment, and further the collective decision-making system intending to help practitioners collaboratively elaborating project-level responsibilities and registering for training sessions. The assessment of results is presented, through both (1) a Delphi questionnaire for achieving a sector-wide validation of roles and responsibilities, and (2) an experimental protocol involving observation of professionals using the tools.

Mots clés: human-computer interface; Artificial intelligence; Competence matrix; Training courses recommendation; Building information modeling; Architecture; Engineering; Construction; Facility Management; modelling; responsibility matrix; BIM profile; BIM; training course; BIM4VET toolset; user maturity assessment; fuzzy logic; collective decision-making system; Delphi questionnaire; experimental protocol

Domaines: Ingénierie assistée par ordinateur; Bibliothèque électronique [cs.DL]; Interface homme-machine [cs.HC]; Apprentissage [cs.LG]; Modélisation et simulation

Annie Guerriero, Sylvain Kubicki, V. Maquil, N. Mack, Yacine Rezgui, et al.. BIM4VET, Towards BIM Training Recommendation for AEC Professionals. Conference on Advances in Informatics and Computing in Civil and Construction Engineering, Oct 2018, Chicago, United States. pp.833-840, ⟨10.1007/978-3-030-00220-6_100⟩. ⟨cea-04564097⟩