Influential Factors of the Adaptation of Building Information Technology Management Curriculum in Chinese Engineering Education: A Study Based On Hunan Province
Shun Li1, Sukon Aduldaecha2*, Surachai Traiwannakij3
Abstract
(Purpose) China’s construction industry, a vital economic component, is expanding globally. However, promoting construction Building Information Modeling (BIM) management courses in vocational colleges faces challenges due to low coverage and implementation difficulties. This study, centered in Hunan Province, investigates adoption factors by drawing from successful practices in other regions. Additionally, it explores the correlation between the development of construction majors and industrial transformation, aiming to support the growth of China’s construction industry. (Methods)Using quantitative methods, the research collected data via surveys and analyzed them in SPSS, focusing on University Sample D with 351 respondents. (Results) The validity analysis, incorporating Cronbach’s alpha and Kaiser-Meyer-Olkin (KMO) values, robustly confirmed the reliability and validity of the four critical dimensions under investigation. These dimensions—namely, Education Policy Dimension (EPD), Industry Demand Dimension (IDD), Teacher Quality Dimension (TQD), and Student Demand Dimension (SDD)—significantly impact the adoption of the Building Information Technology Management Course (BITMC) curriculum. Descriptive statistics scores, ranging from 4.167 to 4.547, underscore the perceived influence of these dimensions. Notably, EPD, IDD, and TQD emerge as key factors shaping adoption decisions, while SDD exhibits relatively weaker impact. (Implications) This study confirmed all four hypotheses, revealing that the four dimensions (EPD, IDD, TQD, SDD) significantly impact the adoption of the BITMC curriculum, with EPD, IDD, and TQD identified as key influencing factors. Linear regression analysis further underscored the strong influence of EPD, IDD, and TQD on the adoption of the BITMC curriculum. At the same time, SDD’s impact was relatively weak, highlighting EPD and IDD as the most critical factors.