Access Type
Open Access Thesis
Date of Award
January 2014
Degree Type
Thesis
Degree Name
M.S.
Department
Civil and Environmental Engineering
First Advisor
Mumtaz A. Usmen
Abstract
Construction safety and health training can be delivered by different training methods, such as traditional, online and blended learning. E-learning is a newly introduced method whose effectiveness is still being investigated. This study focuses on the effect of construction worker demographics on the effectiveness of e-learning. The univariate analysis technique was used to find out the distribution and frequency of data collected by an internet based system. Further, multivariate analysis (cross tabulation) and analysis of variance (ANOVA) were performed to determine the association between the independent variables which are age, gender, ethnic background, union status, number of employees in the company, working sector, experience level, job classification, years spent in industry, being previously trained, and the duration spent in the training and the dependent variables of posttest/pretest ratio and training success. It was concluded that cross tabulation analysis and analysis of variance (ANOVA) can be used to evaluate the training effectiveness, and e-training can be effective for all workers of varying demographics if properly applied. Workers' literacy level and motivation were found to be important factors in the successful implementation of e-learning.
Recommended Citation
Kaya, Serhan, "Effect Of Construction Worker Demographic On E-Learning With Hazard Communication Standard" (2014). Wayne State University Theses. 381.
https://digitalcommons.wayne.edu/oa_theses/381