Download PDFOpen PDF in browserA Proposed Approach to Describe Online Construction Educator Perspectives beyond Word Cloud9 pages•Published: June 2, 2026AbstractThe advent of improved computer processing power and internet speed has allowed universities to increase the number of online courses. This capability to deliver classes online became very important during the recent pandemic to protect the well-being of educators and students when the gathering of individuals was restricted to try to slow down the spread of the virus. Although the delivery of online courses allowed the students to progress toward their degrees, concerns about this delivery method existed. Also, as the pandemic was getting under control and the universities were considering moving back to delivering courses in person, the educators also expressed concerns about the face-to-face classes. Thus, the focus of this paper is an approach to describe data collected from the educators regarding their concerns about course delivery methods during the transition to Online Learning during the pandemic. A qualitative research methodology was used for this research, where the data was collected using open-ended questions that allowed educators to fully describe their concerns without pre-established options (aka. Closed-end questions). The information collected was content-rich unstructured qualitative data, processed using text mining and sentiment analysis used in other areas but seldom used in construction education. The analysis using the proposed AI approach indicated equivocally that students are the foremost important consideration of the educators.Keyphrases: artificial intelligence, construction education, course delivery, online learning, text mining In: Wesley Collins, Anthony Perrenoud and John Posillico (editors). Proceedings of Associated Schools of Construction 62nd Annual International Conference, vol 7, pages 236-244.
|
