A Survey Dataset Evaluating Perceptions of Civil Engineering Students about Building Information Modelling (BIM)

Diego Maria Barbieri (), Baowen Lou, Marco Passavanti, Aurora Barbieri and Fredrik Bjørheim
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Diego Maria Barbieri: Department of Mechanical and Structural Engineering and Materials Science, University of Stavanger, Kristine Bonnevies vei 22, 4021 Stavanger, Norway
Baowen Lou: Department of Civil and Environmental Engineering, Norwegian University of Science and Technology, Høgskoleringen 7A, 7491 Trondheim, Norway
Marco Passavanti: Italian Society of Cognitive Behavioral Therapy (CBT-Italy), Mannelli St. 139, 50132 Florence, Italy
Aurora Barbieri: Faculty of Medicine and Surgery, University of Modena and Reggio Emilia, Del Pozzo St. 71, 41124 Modena, Italy
Fredrik Bjørheim: Department of Mechanical and Structural Engineering and Materials Science, University of Stavanger, Kristine Bonnevies vei 22, 4021 Stavanger, Norway

Data, 2023, vol. 8, issue 7, 1-9

Abstract: The implementation of Building Information Modelling (BIM) technologies has become increasingly central in the design, construction and maintenance of both civil structures and infrastructures. As more and more software houses develop new BIM software solutions and a wide range of private and public stakeholders employ them, several educational institutes across the globe strive to expand their teaching portfolio to encompass learning and teaching of BIM. This dataset deals with the perceptions expressed by all the civil engineering undergraduate students who attended an academic course specifically about BIM at University of Stavanger (UiS), Norway, during the second semester 2022. The survey was divided into five parts and collected information regarding as many overarching aspects: socio-demographic data, perceptions about BIM before and after course attendance, satisfaction about the academic course and the way it was conducted. Considering the very moderate sample size (28 students) and potential biases due to the specific context of the University of Stavanger, the dataset can provide a useful insight into teaching approaches and future curriculum development, rather than indicating major and generalized trends in BIM education. As the questionnaire responses shed light on the feedbacks and perceptions expressed by university students dealing with BIM for their first time, the formed dataset can offer a straightforward appreciation of students’ cognitive behaviour in BIM education.

Keywords: building information modelling; civil engineering; university education; survey data; student perceptions (search for similar items in EconPapers)
JEL-codes: C8 C80 C81 C82 C83 (search for similar items in EconPapers)
Date: 2023
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